Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/HeuristicLab.Algorithms.DataAnalysis.PGE-3.3.csproj
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/HeuristicLab.Algorithms.DataAnalysis.PGE-3.3.csproj	(revision 16619)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/HeuristicLab.Algorithms.DataAnalysis.PGE-3.3.csproj	(revision 16620)
@@ -103,7 +103,5 @@
     </Content>
   </ItemGroup>
-  <ItemGroup>
-    <Folder Include="go-code\" />
-  </ItemGroup>
+  <ItemGroup />
   <ItemGroup>
     <ProjectReference Include="..\..\HeuristicLab.Analysis\3.3\HeuristicLab.Analysis-3.3.csproj">
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/MultiTest.ps1
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/MultiTest.ps1	(revision 16619)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/MultiTest.ps1	(revision 16620)
@@ -11,5 +11,5 @@
 )
 
-$BenchmarksPath = Resolve-Path -Relative "go-code\go-pge\data\benchmark"
+$BenchmarksPath = Resolve-Path -Relative "src\go-pge\data\benchmark"
 
 $env:GOGC="off"
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/PGE.cs
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/PGE.cs	(revision 16619)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/PGE.cs	(revision 16620)
@@ -25,17 +25,17 @@
 
     [DllImport("go-pge.dll", EntryPoint = "addTestData", CharSet = CharSet.Ansi, CallingConvention = CallingConvention.StdCall)]
-    public static extern void AddTestData(IntPtr indepNames, IntPtr depndNames, IntPtr matrix, int nEntries);
+    public static extern void AddTestData([MarshalAs(UnmanagedType.AnsiBStr)] string indepNames, [MarshalAs(UnmanagedType.AnsiBStr)] string depndNames, double[] matrix, int nEntries);
 
     [DllImport("go-pge.dll", EntryPoint = "addTrainData", CharSet = CharSet.Ansi, CallingConvention = CallingConvention.StdCall)]
-    public static extern void AddTrainData(IntPtr indepNames, IntPtr depndNames, IntPtr matrix, int nEntries);
+    public static extern void AddTrainData([MarshalAs(UnmanagedType.AnsiBStr)] string indepNames, [MarshalAs(UnmanagedType.AnsiBStr)] string depndNames, double[] matrix, int nEntries);
 
     [DllImport("go-pge.dll", EntryPoint = "initSearch", CharSet = CharSet.Ansi, CallingConvention = CallingConvention.StdCall)]
-    public static extern void InitSearch(int maxGen, int pgeRptEpoch, int pgeRptCount, int pgeArchiveCap, int peelCnt, int evalrCount, double zeroEpsilon, IntPtr initMethod, IntPtr growMethod, int sortType);
+    public static extern void InitSearch(int maxGen, int pgeRptEpoch, int pgeRptCount, int pgeArchiveCap, int peelCnt, int evalrCount, double zeroEpsilon, [MarshalAs(UnmanagedType.AnsiBStr)] string initMethod, [MarshalAs(UnmanagedType.AnsiBStr)] string growMethod, int sortType);
 
     [DllImport("go-pge.dll", EntryPoint = "initTreeParams", CharSet = CharSet.Ansi, CallingConvention = CallingConvention.StdCall)]
-    public static extern void InitTreeParams(IntPtr roots, IntPtr nodes, IntPtr nonTrig, IntPtr leafs, int numUsableVars, int maxSize, int minSize, int maxDepth, int minDepth);
+    public static extern void InitTreeParams([MarshalAs(UnmanagedType.AnsiBStr)] string roots, [MarshalAs(UnmanagedType.AnsiBStr)] string nodes, [MarshalAs(UnmanagedType.AnsiBStr)] string nonTrig, [MarshalAs(UnmanagedType.AnsiBStr)] string leafs, int numUsableVars, int maxSize, int minSize, int maxDepth, int minDepth);
 
     [DllImport("go-pge.dll", EntryPoint = "initProblem", CharSet = CharSet.Ansi, CallingConvention = CallingConvention.StdCall)]
-    public static extern void InitProblem(IntPtr name, int maxIter, double hitRatio, int searchVar, IntPtr ProblemTypeString, int numProcs);
+    public static extern void InitProblem([MarshalAs(UnmanagedType.AnsiBStr)] string name, int maxIter, double hitRatio, int searchVar, [MarshalAs(UnmanagedType.AnsiBStr)] string ProblemTypeString, int numProcs);
 
     [DllImport("go-pge.dll", EntryPoint = "stepW", CharSet = CharSet.Ansi, CallingConvention = CallingConvention.StdCall)]
@@ -303,5 +303,8 @@
 
       //Constants
-      int sortType = 0; // TODO what's sort type?
+      int sortType = 0; // TODO what's sort type? //
+      //1 = PESORT_PARETO_TRN_ERR
+      //0 = PESORT_PARETO_TST_ERR
+
       string problemTypeString = "benchmark";
       int numProc = 12;
@@ -312,11 +315,10 @@
       var variables = problemData.AllowedInputVariables.Concat(new string[] { problemData.TargetVariable });
       // no idea why the following are IntPtr, this should not be necessary for marshalling, it should be ok to just send the double[,]
-      int nTrainData;
-      int nTestData;
-      IntPtr trainData = GetData(problemData.Dataset, variables, problemData.TrainingIndices, out nTrainData);
-      IntPtr testData = GetData(problemData.Dataset, variables, problemData.TestIndices, out nTestData);
-
-      nTrainData = Problem.ProblemData.TrainingPartition.Size;
-      nTestData = Problem.ProblemData.TestPartition.Size;
+      
+      double[] trainData = GetData(problemData.Dataset, variables, problemData.TrainingIndices);
+      double[] testData = GetData(problemData.Dataset, variables, problemData.TestIndices);
+
+      int nTrainData = Problem.ProblemData.TrainingPartition.Size;
+      int nTestData = Problem.ProblemData.TestPartition.Size;
 
       if (problemData.AllowedInputVariables.Any(iv => iv.Contains(" ")))
@@ -325,33 +327,17 @@
       var inputVariableNames = string.Join(" ", problemData.AllowedInputVariables);
 
-      IntPtr cIndepNames = Marshal.StringToHGlobalAnsi(inputVariableNames);
-      IntPtr cDependentNames = Marshal.StringToHGlobalAnsi(problemData.TargetVariable);
-      // Dependent- and Independentnames are the variables from the test/train data, e.g. from "Korns_02.trn" indep: x y z v w  dep: f(xs)
-
-      IntPtr cInitMethod = Marshal.StringToHGlobalAnsi(InitMethod);
-      IntPtr cGrowMethod = Marshal.StringToHGlobalAnsi(GrowMethod);
-
-      IntPtr cRoots = Marshal.StringToHGlobalAnsi(Roots);
-      IntPtr cNodes = Marshal.StringToHGlobalAnsi(Nodes);
-      IntPtr cNonTrig = Marshal.StringToHGlobalAnsi(NonTrig);
-      IntPtr cLeafs = Marshal.StringToHGlobalAnsi(Leafs);
-
-      IntPtr cName = Marshal.StringToHGlobalAnsi(problemName);
-      IntPtr cProblemTypeString = Marshal.StringToHGlobalAnsi(problemTypeString);
-
-
-      AddTestData(cIndepNames, cDependentNames, testData, nTestData);
-      AddTrainData(cIndepNames, cDependentNames, trainData, nTrainData);
+      AddTestData(inputVariableNames, problemData.TargetVariable, testData, nTestData);
+      AddTrainData(inputVariableNames, problemData.TargetVariable, trainData, nTrainData);
 
       int numberOfUseableVariables = problemData.AllowedInputVariables.Count();
 
-      InitSearch(MaxGen, PgeRptEpoch, PgeRptCount, PgeArchiveCap, PeelCnt, EvalrCount, ZeroEpsilon, cInitMethod, cGrowMethod, sortType);
+      InitSearch(MaxGen, PgeRptEpoch, PgeRptCount, PgeArchiveCap, PeelCnt, EvalrCount, ZeroEpsilon, InitMethod, GrowMethod, sortType);
 
       // cUsableVars: list of indices into independent variables
-      InitTreeParams(cRoots, cNodes, cNonTrig, cLeafs, numberOfUseableVariables, MaxSize, MinSize, MaxDepth, MinDepth);
-
-      InitProblem(cName, MaxIterations, HitRatio, 
+      InitTreeParams(Roots, Nodes, NonTrig, Leafs, numberOfUseableVariables, MaxSize, MinSize, MaxDepth, MinDepth);
+
+      InitProblem(Name, MaxIterations, HitRatio, 
         searchVar: 0,  // SearchVar: index of dependent variables (this is always zero because we only have one target variable)
-        ProblemTypeString: cProblemTypeString, numProcs: numProc);
+        ProblemTypeString: problemTypeString, numProcs: numProc);
 
       var bestTestScore = int.MaxValue;
@@ -387,21 +373,4 @@
         if (cancellationToken.IsCancellationRequested) break;
       }
-
-      Marshal.FreeHGlobal(trainData);
-      Marshal.FreeHGlobal(testData);
-
-      Marshal.FreeHGlobal(cIndepNames);
-      Marshal.FreeHGlobal(cDependentNames);
-
-      Marshal.FreeHGlobal(cInitMethod);
-      Marshal.FreeHGlobal(cGrowMethod);
-
-      Marshal.FreeHGlobal(cRoots);
-      Marshal.FreeHGlobal(cNodes);
-      Marshal.FreeHGlobal(cNonTrig);
-      Marshal.FreeHGlobal(cLeafs);
-
-      Marshal.FreeHGlobal(cName);
-      Marshal.FreeHGlobal(cProblemTypeString);
 
       // Results.Add(new Result("Execution time", new TimeSpanValue(this.ExecutionTime)));
@@ -444,6 +413,5 @@
     }
 
-    private static IntPtr GetData(IDataset ds, IEnumerable<string> variableNames, IEnumerable<int> rows, out int n) {
-
+    private static double[] GetData(IDataset ds, IEnumerable<string> variableNames, IEnumerable<int> rows) {
       var dim = variableNames.Count();
       double[] val = new double[rows.Count() * dim];
@@ -457,12 +425,5 @@
         r++;
       }
-
-      n = val.Length;
-
-      // TODO: seems strange to marshal this explicitly, we can just send the data over to PGE
-      IntPtr data = Marshal.AllocHGlobal(sizeof(double) * val.Length);
-      Marshal.Copy(val, 0, data, val.Length);
-
-      return data;
+      return val;
     }
   }
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/TestResults.ps1
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/TestResults.ps1	(revision 16619)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/TestResults.ps1	(revision 16620)
@@ -22,12 +22,12 @@
 $GoLogError = Join-Path -Path $LogFolder -ChildPath "$($BenchName)_GoOut.err"
 
-$CExecutable = Join-Path -Path $(Resolve-Path $PSScriptRoot) -ChildPath 'testmulti.exe'
-$GoExecutable = Join-Path -Path $(Resolve-Path $PSScriptRoot) -ChildPath 'go-code\go-pge\go-pge.exe'
-
-$BenchData = Join-Path -Path $(Resolve-Path $PSScriptRoot) -ChildPath 'go-code\go-pge\data\benchmark'
+$CExecutable = Join-Path -Path $(Resolve-Path $PSScriptRoot) -ChildPath 'src\go-pge\testmulti.exe'
+$GoExecutable = Join-Path -Path $(Resolve-Path $PSScriptRoot) -ChildPath 'src\go-pge\go-pge.exe'
+
+$BenchData = Join-Path -Path $(Resolve-Path $PSScriptRoot) -ChildPath 'src\go-pge\data\benchmark'
 $TestDataFile = Join-Path -Path $BenchData -ChildPath "$($BenchName).trn"
 $TrainDataFile = Join-Path -Path $BenchData -ChildPath "$($BenchName).tst"
 
-$ConfigData =  Join-Path -Path $(Resolve-Path $PSScriptRoot) -ChildPath 'go-code\go-pge\config\prob\bench'
+$ConfigData =  Join-Path -Path $(Resolve-Path $PSScriptRoot) -ChildPath 'src\go-pge\config\prob\bench'
 $ConfigDataFile = Join-Path -Path $ConfigData -ChildPath "$($BenchName).cfg"
 
@@ -62,5 +62,5 @@
       Remove-Item -Path $CLogError
    }
-    $CGenProc = Start-Process -FilePath $CExecutable -ArgumentList "$BenchName -evals=$($EvalCnt) -peel=$($PeelCnt) -iter=$($WaitToStep) -init=$($InitMethod) -grow=$($GrowMethod)" -RedirectStandardOutput $CLog -RedirectStandardError $CLogError -WorkingDirectory $PSScriptRoot -PassThru
+    $CGenProc = Start-Process -FilePath $CExecutable -ArgumentList "$BenchName -evals=$($EvalCnt) -peel=$($PeelCnt) -iter=$($WaitToStep) -init=$($InitMethod) -grow=$($GrowMethod)" -RedirectStandardOutput $CLog -RedirectStandardError $CLogError -WorkingDirectory $(Split-Path -Path $GoExecutable -Parent) -PassThru
     $StepReached = $false
     $LastLogLength = 0
Index: anches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/list.c
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/list.c	(revision 16619)
+++ 	(revision )
@@ -1,76 +1,0 @@
-#include <stdio.h>
-#include <string.h>
-#include <stdlib.h>
-
-//#define DEBUG
-#define MAX_CHAR 255
-
-typedef struct node {
-   void *data;      //config values
-   char *name;      //config key
-   struct node *next;
-} node;
-
-static node *head = NULL;
-
-void configPrint() {
-   node *cNode = head;
-   while(cNode != NULL) {        
-      printf("Config Entry: %s\n",cNode->name);
-      cNode = cNode->next;
-   }
-}
-
-void* configGet(char *name) {
-   node *cNode = head;
-   while(cNode != NULL && strcmp(cNode->name, name) != 0) {
-      cNode = cNode->next;
-   }
-   if(cNode == NULL) {
-      #ifdef DEBUG
-         char msg[MAX_CHAR];
-         strcpy(msg, "Configsetting not found: ");
-         perror(strcat(msg, name));
-      #endif
-      return NULL;
-   } else {
-      return(void*)cNode->data;
-   }
-}
-
-void configDispose() {
-   node *cNode = head;
-   while(cNode != NULL) {        
-      node *nextN = cNode->next;
-      free(cNode->data);
-      cNode->data = NULL;
-      free(cNode->name);
-      cNode->name = NULL;
-      free(cNode);
-      cNode = nextN;
-   }
-   head = NULL;
-}
-
-void configPrepend(char *key, void *data) {
-   node *n = (node *) malloc(sizeof(node));
-   n->data = data;
-   n->name = key;
-   n->next = head;
-   head = n;
-}
-
-
-void configTest() {
-    configPrepend("pge", (void *) 10);
-    configPrepend("key2", (void *) 20);
-    configPrepend("key3", (void *)30);
-    configPrepend("key4", (void *)1);
-    configPrepend("key5", (void *) 40);
-    configPrepend("key6", (void *)56); 
-
-    printf("Found %d\n", *(int *)configGet("key4"));
-    printf("Found %d\n", *(int *)configGet("key6"));
-    printf("Found %d\n", *(int *)configGet("pge"));
-    printf("Found %d\n", *(int *)configGet("nix"));
-}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/make.sh
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/make.sh	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/make.sh	(revision 16620)
@@ -0,0 +1,76 @@
+#!/usr/bin/env bash
+set -e          # Exit if any return code not equals 0
+
+ScriptRoot=$(dirname "$(readlink -f "$0")")
+BuildHL=0
+
+case "$1" in
+"cprog")
+    CreateDLL=0
+    SimpleTest=0
+    ;;
+"dll")
+    CreateDLL=1
+    SimpleTest=0
+    ;;
+"hl")
+    BuildHL=1
+    ;&
+* | "all")
+    CreateDLL=1
+    SimpleTest=1
+    ;;
+esac
+
+export GOPATH="$ScriptRoot"
+
+export GOGC="off"
+export GODEBUG="cgocheck=0"
+export CGO_ENABLED=1
+
+export GOARCH=amd64
+export GOHOSTARCH=amd64
+export GOHOSTOS=windows
+export GOOS=windows
+
+cd "$ScriptRoot"
+
+cd ./src/go-pge
+
+CGO_ENABLED=1 \
+go build -o libpge.a -ldflags="-s -w " -gcflags=all="-N -l" -buildmode=c-archive \
+    pge.go 
+
+echo "Created c-archive from go"
+
+gcc -x c testmulti.c -o testmulti.exe -std=c99 \
+    -L. -L../go-levmar/levmar-2.6 -L../go-levmar/levmar-2.6/libs64 \
+    -ggdb -fpic -m64 -pthread \
+    -lpge -lm -llevmar -llapack -lblas -lf2c -ltmglib -lWinMM -lntdll -lWS2_32 \
+    -Wno-implicit-function-declaration
+
+echo "Built C-Test programm"
+
+if [ $CreateDLL -eq 1 ]; then 
+    gcc -shared -pthread -o go-pge.dll pge.c libpge.a -lWinMM -lntdll -lWS2_32 \
+        -L../go-levmar/levmar-2.6 -L../go-levmar/levmar-2.6/libs64 \
+        -lm -llevmar -llapack -lblas -lf2c -ltmglib 
+    
+    echo "Created PGE-DLL"
+    cp go-pge.dll ../../
+fi
+
+rm -f libpge.a 
+rm -f libpge.h
+
+echo "Build succeeded"
+
+if [ $SimpleTest -eq 1 ]; then
+	echo "Starting simple test"
+	powershell -File ../../TestResults.ps1
+fi
+
+if [ $BuildHL -eq 1 ]; then
+    echo "Building HL"
+fi
+
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/scripts/CompareHL.ps1
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/scripts/CompareHL.ps1	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/scripts/CompareHL.ps1	(revision 16620)
@@ -0,0 +1,56 @@
+﻿[cmdletbinding()]
+param(
+	[string]$bench = "Pagie_1"
+)
+
+$OrigLog = "..\tmplog\$($bench)_CGen.log"
+$HLLogPath = "..\tmplog\$($bench)_HL.log"
+
+if(-not $(Test-Path -Path $OrigLog)) {
+	Write-Error "Please create C-Log with multitest program first!"
+	exit 2
+}
+
+if(-not $(Test-Path -Path $HLLogPath)) {
+	Write-Error "HL log is missing, please paste output to $HLLogPath"
+	exit 1
+}
+
+$i = Get-ChildItem -Path $OrigLog -Filter *.log
+
+$C = @()
+$HL = @()
+
+$steps = Get-Content -Path $OrigLog | Select-String -Pattern "C: push/pop"
+
+foreach($stepres in $steps) {
+	[string]$stepres = $stepres.ToString().Trim()
+	$eqns = ($stepres.Substring($stepres.IndexOf(")") + 1 )).Trim()
+	$C += [string]$eqns.Replace(' ', '')
+}
+
+foreach($line in $(Get-Content -Path $HLLogPath)) {
+	[string]$line = $line.ToString().Trim()
+	$start = $line.IndexOf(")") + 1
+	$end = $line.IndexOf('coeff:') - $start
+	$eq = ($line.Substring($start, $end )).Trim()
+	$HL += [string]$eq.Replace(' ', '')
+}
+
+$Count = 0
+$Failed = 0
+for($i = 0; $i -lt $C.Count; $i++) {
+	if($HL[$i] -ne $null) {
+		if($C[$i] -eq $HL[$i]) {
+			Write-Host "Match"
+		} else {
+			echo "$($C[$i])`t`t:`t`t$($HL[$i])"
+			$Failed++
+			Write-Warning "No match"
+		}
+		$Count++
+	}
+}
+
+echo "`n***********************************************************"
+echo "$Failed / $Count Failed!"
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/scripts/ConvertTo-HL.ps1
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/scripts/ConvertTo-HL.ps1	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/scripts/ConvertTo-HL.ps1	(revision 16620)
@@ -0,0 +1,54 @@
+﻿[cmdletbinding()]
+param(
+	[string]$bench = [string]::Empty
+)
+
+$p = "..\src\go-pge\data\benchmark\"
+$OutPath = "..\src\go-pge\data\hlbenchmark\"
+
+if(-not $(Test-Path -Path $p)) {
+	Write-Error "Benchmark $p not found!"
+	exit 2
+}
+
+if($bench -eq [string]::Empty) {
+	$i = Get-ChildItem -Path $p -Filter *.trn
+} else {
+	$i = Get-ChildItem -Path $p -Filter "$($bench).trn"
+}
+foreach($it in $i) {
+	$bench = $it.BaseName
+    $OutFile = Join-Path $OutPath "$($it.BaseName).csv"
+    $TrnCont = Get-Content $(Join-Path -Path $it.DirectoryName -ChildPath "$($it.BaseName).trn")
+    $TrnContNew = @()
+    $Count = 0
+
+    $VarHead = "$($TrnCont[0].Trim());$($TrnCont[1].Trim())"
+    $VarHead = $VarHead -replace ' ', ';'
+    $TrnContNew += $VarHead
+    foreach($line in $TrnCont) {
+        if($Count -ge 2) {
+            $TrnContNew += $line.Trim().Replace('.',',').Replace(' ',';')
+        }
+        $Count++
+    }
+
+    $TrainEnd = $Count
+    $TestStart = $TrainEnd + 1
+
+    $TestCont = Get-Content $(Join-Path -Path $it.DirectoryName -ChildPath "$($it.BaseName).tst")
+    $Count = 0
+    foreach($line in $TestCont) {
+        if($Count -ge 2) {
+            $TrnContNew += $line.Trim().Replace('.',',').Replace(' ',';')
+        }
+        $Count++
+    }
+
+    $TrnContNew | Out-File -FilePath $OutFile
+
+    $TestEnd = $TestStart + $Count
+
+    Write-Host "$($bench): TestPartition Start: $TestStart, $TestEnd"
+    Write-Host "$($bench): TrainingPartition Start: 0, $TrainEnd `n"
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-levmar/levmar-2.6/levmar.h
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-levmar/levmar-2.6/levmar.h	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-levmar/levmar-2.6/levmar.h	(revision 16620)
@@ -0,0 +1,398 @@
+/* 
+////////////////////////////////////////////////////////////////////////////////////
+// 
+//  Prototypes and definitions for the Levenberg - Marquardt minimization algorithm
+//  Copyright (C) 2004  Manolis Lourakis (lourakis at ics forth gr)
+//  Institute of Computer Science, Foundation for Research & Technology - Hellas
+//  Heraklion, Crete, Greece.
+//
+//  This program is free software; you can redistribute it and/or modify
+//  it under the terms of the GNU General Public License as published by
+//  the Free Software Foundation; either version 2 of the License, or
+//  (at your option) any later version.
+//
+//  This program is distributed in the hope that it will be useful,
+//  but WITHOUT ANY WARRANTY; without even the implied warranty of
+//  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+//  GNU General Public License for more details.
+//
+////////////////////////////////////////////////////////////////////////////////////
+*/
+
+#ifndef _LEVMAR_H_
+#define _LEVMAR_H_
+
+/************************************* Start of configuration options *************************************/
+/* Note that when compiling with CMake, this configuration section is automatically generated
+ * based on the user's input, see levmar.h.in
+ */
+
+/* specifies whether to use LAPACK or not. Using LAPACK is strongly recommended */
+#define HAVE_LAPACK
+
+/* specifies whether the PLASMA parallel library for multicore CPUs is available */
+/* #undef HAVE_PLASMA */
+                      
+/* to avoid the overhead of repeated mallocs(), routines in Axb.c can be instructed to
+ * retain working memory between calls. Such a choice, however, renders these routines
+ * non-reentrant and is not safe in a shared memory multiprocessing environment.
+ * Bellow, an attempt is made to issue a warning if this option is turned on and OpenMP
+ * is being used (note that this will work only if omp.h is included before levmar.h)
+ */
+/* #undef LINSOLVERS_RETAIN_MEMORY */
+#if (defined(_OPENMP))
+# ifdef LINSOLVERS_RETAIN_MEMORY
+#  ifdef _MSC_VER
+#  pragma message("LINSOLVERS_RETAIN_MEMORY is not safe in a multithreaded environment and should be turned off!")
+#  else
+#  warning LINSOLVERS_RETAIN_MEMORY is not safe in a multithreaded environment and should be turned off!
+#  endif /* _MSC_VER */
+# endif /* LINSOLVERS_RETAIN_MEMORY */
+#endif /* _OPENMP */
+
+/* specifies whether double precision routines will be compiled or not */
+#define LM_DBL_PREC
+/* specifies whether single precision routines will be compiled or not */
+#define LM_SNGL_PREC
+
+/****************** End of configuration options, no changes necessary beyond this point ******************/
+
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+/* work arrays size for ?levmar_der and ?levmar_dif functions.
+ * should be multiplied by sizeof(double) or sizeof(float) to be converted to bytes
+ */
+#define LM_DER_WORKSZ(npar, nmeas) (2*(nmeas) + 4*(npar) + (nmeas)*(npar) + (npar)*(npar))
+#define LM_DIF_WORKSZ(npar, nmeas) (4*(nmeas) + 4*(npar) + (nmeas)*(npar) + (npar)*(npar))
+
+/* work arrays size for ?levmar_bc_der and ?levmar_bc_dif functions.
+ * should be multiplied by sizeof(double) or sizeof(float) to be converted to bytes
+ */
+#define LM_BC_DER_WORKSZ(npar, nmeas) (2*(nmeas) + 4*(npar) + (nmeas)*(npar) + (npar)*(npar))
+#define LM_BC_DIF_WORKSZ(npar, nmeas) LM_BC_DER_WORKSZ((npar), (nmeas)) /* LEVMAR_BC_DIF currently implemented using LEVMAR_BC_DER()! */
+
+/* work arrays size for ?levmar_lec_der and ?levmar_lec_dif functions.
+ * should be multiplied by sizeof(double) or sizeof(float) to be converted to bytes
+ */
+#define LM_LEC_DER_WORKSZ(npar, nmeas, nconstr) LM_DER_WORKSZ((npar)-(nconstr), (nmeas))
+#define LM_LEC_DIF_WORKSZ(npar, nmeas, nconstr) LM_DIF_WORKSZ((npar)-(nconstr), (nmeas))
+
+/* work arrays size for ?levmar_blec_der and ?levmar_blec_dif functions.
+ * should be multiplied by sizeof(double) or sizeof(float) to be converted to bytes
+ */
+#define LM_BLEC_DER_WORKSZ(npar, nmeas, nconstr) LM_LEC_DER_WORKSZ((npar), (nmeas)+(npar), (nconstr))
+#define LM_BLEC_DIF_WORKSZ(npar, nmeas, nconstr) LM_LEC_DIF_WORKSZ((npar), (nmeas)+(npar), (nconstr))
+
+/* work arrays size for ?levmar_bleic_der and ?levmar_bleic_dif functions.
+ * should be multiplied by sizeof(double) or sizeof(float) to be converted to bytes
+ */
+#define LM_BLEIC_DER_WORKSZ(npar, nmeas, nconstr1, nconstr2) LM_BLEC_DER_WORKSZ((npar)+(nconstr2), (nmeas)+(nconstr2), (nconstr1)+(nconstr2))
+#define LM_BLEIC_DIF_WORKSZ(npar, nmeas, nconstr1, nconstr2) LM_BLEC_DIF_WORKSZ((npar)+(nconstr2), (nmeas)+(nconstr2), (nconstr1)+(nconstr2))
+
+#define LM_OPTS_SZ    	 5 /* max(4, 5) */
+#define LM_INFO_SZ    	 10
+#define LM_ERROR         -1
+#define LM_INIT_MU    	 1E-03
+#define LM_STOP_THRESH	 1E-17
+#define LM_DIFF_DELTA    1E-06
+#define LM_VERSION       "2.6 (November 2011)"
+
+#ifdef LM_DBL_PREC
+/* double precision LM, with & without Jacobian */
+/* unconstrained minimization */
+extern int dlevmar_der(
+      void (*func)(double *p, double *hx, int m, int n, void *adata),
+      void (*jacf)(double *p, double *j, int m, int n, void *adata),
+      double *p, double *x, int m, int n, int itmax, double *opts,
+      double *info, double *work, double *covar, void *adata);
+
+extern int dlevmar_dif(
+      void (*func)(double *p, double *hx, int m, int n, void *adata),
+      double *p, double *x, int m, int n, int itmax, double *opts,
+      double *info, double *work, double *covar, void *adata);
+
+/* box-constrained minimization */
+extern int dlevmar_bc_der(
+       void (*func)(double *p, double *hx, int m, int n, void *adata),
+       void (*jacf)(double *p, double *j, int m, int n, void *adata),  
+       double *p, double *x, int m, int n, double *lb, double *ub, double *dscl,
+       int itmax, double *opts, double *info, double *work, double *covar, void *adata);
+
+extern int dlevmar_bc_dif(
+       void (*func)(double *p, double *hx, int m, int n, void *adata),
+       double *p, double *x, int m, int n, double *lb, double *ub, double *dscl,
+       int itmax, double *opts, double *info, double *work, double *covar, void *adata);
+
+#ifdef HAVE_LAPACK
+/* linear equation constrained minimization */
+extern int dlevmar_lec_der(
+      void (*func)(double *p, double *hx, int m, int n, void *adata),
+      void (*jacf)(double *p, double *j, int m, int n, void *adata),
+      double *p, double *x, int m, int n, double *A, double *b, int k,
+      int itmax, double *opts, double *info, double *work, double *covar, void *adata);
+
+extern int dlevmar_lec_dif(
+      void (*func)(double *p, double *hx, int m, int n, void *adata),
+      double *p, double *x, int m, int n, double *A, double *b, int k,
+      int itmax, double *opts, double *info, double *work, double *covar, void *adata);
+
+/* box & linear equation constrained minimization */
+extern int dlevmar_blec_der(
+      void (*func)(double *p, double *hx, int m, int n, void *adata),
+      void (*jacf)(double *p, double *j, int m, int n, void *adata),
+      double *p, double *x, int m, int n, double *lb, double *ub, double *A, double *b, int k, double *wghts,
+      int itmax, double *opts, double *info, double *work, double *covar, void *adata);
+
+extern int dlevmar_blec_dif(
+      void (*func)(double *p, double *hx, int m, int n, void *adata),
+      double *p, double *x, int m, int n, double *lb, double *ub, double *A, double *b, int k, double *wghts,
+      int itmax, double *opts, double *info, double *work, double *covar, void *adata);
+
+/* box, linear equations & inequalities constrained minimization */
+extern int dlevmar_bleic_der(
+      void (*func)(double *p, double *hx, int m, int n, void *adata),
+      void (*jacf)(double *p, double *j, int m, int n, void *adata),
+      double *p, double *x, int m, int n, double *lb, double *ub,
+      double *A, double *b, int k1, double *C, double *d, int k2,
+      int itmax, double *opts, double *info, double *work, double *covar, void *adata);
+
+extern int dlevmar_bleic_dif(
+      void (*func)(double *p, double *hx, int m, int n, void *adata),
+      double *p, double *x, int m, int n, double *lb, double *ub, 
+      double *A, double *b, int k1, double *C, double *d, int k2,
+      int itmax, double *opts, double *info, double *work, double *covar, void *adata);
+
+/* box & linear inequality constraints */
+extern int dlevmar_blic_der(
+      void (*func)(double *p, double *hx, int m, int n, void *adata),
+      void (*jacf)(double *p, double *j, int m, int n, void *adata),
+      double *p, double *x, int m, int n, double *lb, double *ub, double *C, double *d, int k2,
+      int itmax, double opts[4], double info[LM_INFO_SZ], double *work, double *covar, void *adata);
+
+extern int dlevmar_blic_dif(
+      void (*func)(double *p, double *hx, int m, int n, void *adata),
+      double *p, double *x, int m, int n, double *lb, double *ub, double *C, double *d, int k2,
+      int itmax, double opts[5], double info[LM_INFO_SZ], double *work, double *covar, void *adata);
+
+/* linear equation & inequality constraints */
+extern int dlevmar_leic_der(
+      void (*func)(double *p, double *hx, int m, int n, void *adata),
+      void (*jacf)(double *p, double *j, int m, int n, void *adata),
+      double *p, double *x, int m, int n, double *A, double *b, int k1, double *C, double *d, int k2,
+      int itmax, double opts[4], double info[LM_INFO_SZ], double *work, double *covar, void *adata);
+
+extern int dlevmar_leic_dif(
+      void (*func)(double *p, double *hx, int m, int n, void *adata),
+      double *p, double *x, int m, int n, double *A, double *b, int k1, double *C, double *d, int k2,
+      int itmax, double opts[5], double info[LM_INFO_SZ], double *work, double *covar, void *adata);
+
+/* linear inequality constraints */
+extern int dlevmar_lic_der(
+      void (*func)(double *p, double *hx, int m, int n, void *adata),
+      void (*jacf)(double *p, double *j, int m, int n, void *adata),
+      double *p, double *x, int m, int n, double *C, double *d, int k2,
+      int itmax, double opts[4], double info[LM_INFO_SZ], double *work, double *covar, void *adata);
+
+extern int dlevmar_lic_dif(
+      void (*func)(double *p, double *hx, int m, int n, void *adata),
+      double *p, double *x, int m, int n, double *C, double *d, int k2,
+      int itmax, double opts[5], double info[LM_INFO_SZ], double *work, double *covar, void *adata);
+#endif /* HAVE_LAPACK */
+
+#endif /* LM_DBL_PREC */
+
+
+#ifdef LM_SNGL_PREC
+/* single precision LM, with & without Jacobian */
+/* unconstrained minimization */
+extern int slevmar_der(
+      void (*func)(float *p, float *hx, int m, int n, void *adata),
+      void (*jacf)(float *p, float *j, int m, int n, void *adata),
+      float *p, float *x, int m, int n, int itmax, float *opts,
+      float *info, float *work, float *covar, void *adata);
+
+extern int slevmar_dif(
+      void (*func)(float *p, float *hx, int m, int n, void *adata),
+      float *p, float *x, int m, int n, int itmax, float *opts,
+      float *info, float *work, float *covar, void *adata);
+
+/* box-constrained minimization */
+extern int slevmar_bc_der(
+       void (*func)(float *p, float *hx, int m, int n, void *adata),
+       void (*jacf)(float *p, float *j, int m, int n, void *adata),  
+       float *p, float *x, int m, int n, float *lb, float *ub, float *dscl,
+       int itmax, float *opts, float *info, float *work, float *covar, void *adata);
+
+extern int slevmar_bc_dif(
+       void (*func)(float *p, float *hx, int m, int n, void *adata),
+       float *p, float *x, int m, int n, float *lb, float *ub, float *dscl,
+       int itmax, float *opts, float *info, float *work, float *covar, void *adata);
+
+#ifdef HAVE_LAPACK
+/* linear equation constrained minimization */
+extern int slevmar_lec_der(
+      void (*func)(float *p, float *hx, int m, int n, void *adata),
+      void (*jacf)(float *p, float *j, int m, int n, void *adata),
+      float *p, float *x, int m, int n, float *A, float *b, int k,
+      int itmax, float *opts, float *info, float *work, float *covar, void *adata);
+
+extern int slevmar_lec_dif(
+      void (*func)(float *p, float *hx, int m, int n, void *adata),
+      float *p, float *x, int m, int n, float *A, float *b, int k,
+      int itmax, float *opts, float *info, float *work, float *covar, void *adata);
+
+/* box & linear equation constrained minimization */
+extern int slevmar_blec_der(
+      void (*func)(float *p, float *hx, int m, int n, void *adata),
+      void (*jacf)(float *p, float *j, int m, int n, void *adata),
+      float *p, float *x, int m, int n, float *lb, float *ub, float *A, float *b, int k, float *wghts,
+      int itmax, float *opts, float *info, float *work, float *covar, void *adata);
+
+extern int slevmar_blec_dif(
+      void (*func)(float *p, float *hx, int m, int n, void *adata),
+      float *p, float *x, int m, int n, float *lb, float *ub, float *A, float *b, int k, float *wghts,
+      int itmax, float *opts, float *info, float *work, float *covar, void *adata);
+
+/* box, linear equations & inequalities constrained minimization */
+extern int slevmar_bleic_der(
+      void (*func)(float *p, float *hx, int m, int n, void *adata),
+      void (*jacf)(float *p, float *j, int m, int n, void *adata),
+      float *p, float *x, int m, int n, float *lb, float *ub,
+      float *A, float *b, int k1, float *C, float *d, int k2,
+      int itmax, float *opts, float *info, float *work, float *covar, void *adata);
+
+extern int slevmar_bleic_dif(
+      void (*func)(float *p, float *hx, int m, int n, void *adata),
+      float *p, float *x, int m, int n, float *lb, float *ub,
+      float *A, float *b, int k1, float *C, float *d, int k2,
+      int itmax, float *opts, float *info, float *work, float *covar, void *adata);
+
+/* box & linear inequality constraints */
+extern int slevmar_blic_der(
+      void (*func)(float *p, float *hx, int m, int n, void *adata),
+      void (*jacf)(float *p, float *j, int m, int n, void *adata),
+      float *p, float *x, int m, int n, float *lb, float *ub, float *C, float *d, int k2,
+      int itmax, float opts[4], float info[LM_INFO_SZ], float *work, float *covar, void *adata);
+
+extern int slevmar_blic_dif(
+      void (*func)(float *p, float *hx, int m, int n, void *adata),
+      float *p, float *x, int m, int n, float *lb, float *ub, float *C, float *d, int k2,
+      int itmax, float opts[5], float info[LM_INFO_SZ], float *work, float *covar, void *adata);
+
+/* linear equality & inequality constraints */
+extern int slevmar_leic_der(
+      void (*func)(float *p, float *hx, int m, int n, void *adata),
+      void (*jacf)(float *p, float *j, int m, int n, void *adata),
+      float *p, float *x, int m, int n, float *A, float *b, int k1, float *C, float *d, int k2,
+      int itmax, float opts[4], float info[LM_INFO_SZ], float *work, float *covar, void *adata);
+
+extern int slevmar_leic_dif(
+      void (*func)(float *p, float *hx, int m, int n, void *adata),
+      float *p, float *x, int m, int n, float *A, float *b, int k1, float *C, float *d, int k2,
+      int itmax, float opts[5], float info[LM_INFO_SZ], float *work, float *covar, void *adata);
+
+/* linear inequality constraints */
+extern int slevmar_lic_der(
+      void (*func)(float *p, float *hx, int m, int n, void *adata),
+      void (*jacf)(float *p, float *j, int m, int n, void *adata),
+      float *p, float *x, int m, int n, float *C, float *d, int k2,
+      int itmax, float opts[4], float info[LM_INFO_SZ], float *work, float *covar, void *adata);
+
+extern int slevmar_lic_dif(
+      void (*func)(float *p, float *hx, int m, int n, void *adata),
+      float *p, float *x, int m, int n, float *C, float *d, int k2,
+      int itmax, float opts[5], float info[LM_INFO_SZ], float *work, float *covar, void *adata);
+#endif /* HAVE_LAPACK */
+
+#endif /* LM_SNGL_PREC */
+
+/* linear system solvers */
+#ifdef HAVE_LAPACK
+
+#ifdef LM_DBL_PREC
+extern int dAx_eq_b_QR(double *A, double *B, double *x, int m);
+extern int dAx_eq_b_QRLS(double *A, double *B, double *x, int m, int n);
+extern int dAx_eq_b_Chol(double *A, double *B, double *x, int m);
+extern int dAx_eq_b_LU(double *A, double *B, double *x, int m);
+extern int dAx_eq_b_SVD(double *A, double *B, double *x, int m);
+extern int dAx_eq_b_BK(double *A, double *B, double *x, int m);
+#endif /* LM_DBL_PREC */
+
+#ifdef LM_SNGL_PREC
+extern int sAx_eq_b_QR(float *A, float *B, float *x, int m);
+extern int sAx_eq_b_QRLS(float *A, float *B, float *x, int m, int n);
+extern int sAx_eq_b_Chol(float *A, float *B, float *x, int m);
+extern int sAx_eq_b_LU(float *A, float *B, float *x, int m);
+extern int sAx_eq_b_SVD(float *A, float *B, float *x, int m);
+extern int sAx_eq_b_BK(float *A, float *B, float *x, int m);
+#endif /* LM_SNGL_PREC */
+
+#else /* no LAPACK */
+
+#ifdef LM_DBL_PREC
+extern int dAx_eq_b_LU_noLapack(double *A, double *B, double *x, int n);
+#endif /* LM_DBL_PREC */
+
+#ifdef LM_SNGL_PREC
+extern int sAx_eq_b_LU_noLapack(float *A, float *B, float *x, int n);
+#endif /* LM_SNGL_PREC */
+
+#endif /* HAVE_LAPACK */
+
+#ifdef HAVE_PLASMA
+#ifdef LM_DBL_PREC
+extern int dAx_eq_b_PLASMA_Chol(double *A, double *B, double *x, int m);
+#endif
+#ifdef LM_SNGL_PREC
+extern int sAx_eq_b_PLASMA_Chol(float *A, float *B, float *x, int m);
+#endif
+extern void levmar_PLASMA_setnbcores(int cores);
+#endif /* HAVE_PLASMA */
+
+/* Jacobian verification, double & single precision */
+#ifdef LM_DBL_PREC
+extern void dlevmar_chkjac(
+    void (*func)(double *p, double *hx, int m, int n, void *adata),
+    void (*jacf)(double *p, double *j, int m, int n, void *adata),
+    double *p, int m, int n, void *adata, double *err);
+#endif /* LM_DBL_PREC */
+
+#ifdef LM_SNGL_PREC
+extern void slevmar_chkjac(
+    void (*func)(float *p, float *hx, int m, int n, void *adata),
+    void (*jacf)(float *p, float *j, int m, int n, void *adata),
+    float *p, int m, int n, void *adata, float *err);
+#endif /* LM_SNGL_PREC */
+
+/* miscellaneous: standard deviation, coefficient of determination (R2),
+ *                Pearson's correlation coefficient for best-fit parameters
+ */
+#ifdef LM_DBL_PREC
+extern double dlevmar_stddev( double *covar, int m, int i);
+extern double dlevmar_corcoef(double *covar, int m, int i, int j);
+extern double dlevmar_R2(void (*func)(double *p, double *hx, int m, int n, void *adata), double *p, double *x, int m, int n, void *adata);
+
+#endif /* LM_DBL_PREC */
+
+#ifdef LM_SNGL_PREC
+extern float slevmar_stddev( float *covar, int m, int i);
+extern float slevmar_corcoef(float *covar, int m, int i, int j);
+extern float slevmar_R2(void (*func)(float *p, float *hx, int m, int n, void *adata), float *p, float *x, int m, int n, void *adata);
+
+extern void slevmar_locscale(
+        void (*func)(float *p, float *hx, int m, int n, void *adata),
+        float *p, float *x, int m, int n, void *adata,
+        int howto, float locscl[2], float **residptr);
+
+extern int slevmar_outlid(float *r, int n, float thresh, float ls[2], char *outlmap);
+
+#endif /* LM_SNGL_PREC */
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif /* _LEVMAR_H_ */
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-levmar/levmar.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-levmar/levmar.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-levmar/levmar.go	(revision 16620)
@@ -0,0 +1,242 @@
+package problems
+
+// #cgo CFLAGS: -ggdb -fpic -m64 -pthread -Wno-implicit-function-declaration
+// #cgo LDFLAGS: -L./levmar-2.6 -L./levmar-2.6/libs64 -lm -llevmar -llapack -lblas -lf2c -ltmglib
+// #include "levmar_h.h"
+// #include "stack.h"
+import "C"
+
+import (
+	. "go-pge/problems"
+	expr "go-symexpr"
+	"reflect"
+	"unsafe"
+)
+
+type C_double C.double
+
+func MakeCDouble(f float64) C_double {
+	return C_double(C.double(f))
+}
+
+type callback_data struct {
+	Train []*PointSet
+	Test  []*PointSet
+	E     expr.Expr
+	J     []expr.Expr
+	S     [][]int
+	Coeff []float64
+	Task  ExprProblemType
+}
+
+func LevmarExpr(e expr.Expr, searchDim int, task ExprProblemType, guess []float64, train, test []*PointSet) []float64 {
+
+	ps := train[0].NumPoints()
+	PS := len(train) * ps
+
+	c := make([]float64, len(guess))
+	var cd callback_data
+	cd.Train = train
+	cd.Test = test
+	cd.E = e
+	cd.Coeff = c
+	cd.Task = task
+	cd.J = make([]expr.Expr, len(guess))
+	for i, _ := range cd.J {
+		deriv := e.DerivConst(i)
+		// simp := deriv.Simplify(expr.DefaultRules())
+		cd.J[i] = deriv
+	}
+
+	// c/levmar inputs
+	coeff := make([]C.double, len(guess))
+	for i, g := range guess {
+		coeff[i] = C.double(g)
+	}
+
+	y := make([]C.double, PS)
+	for i1, T := range train {
+		for i2, p := range T.Points() {
+			i := i1*ps + i2
+			y[i] = C.double(p.Depnd(searchDim))
+		}
+	}
+	ya := (*C.double)(unsafe.Pointer(&y[0]))
+	ca := (*C.double)(unsafe.Pointer(&coeff[0]))
+	ni := C.int(PS)
+	mi := C.int(len(c))
+
+	// C.levmar_dif(ya, ca, mi, ni, unsafe.Pointer(&cd))
+	C.levmar_der(ya, ca, mi, ni, unsafe.Pointer(&cd))
+
+	for i, _ := range coeff {
+		c[i] = float64(coeff[i])
+	}
+	return c
+}
+
+//export Callback_func
+func Callback_func(p, x *C.double, e unsafe.Pointer) {
+
+	cd := *(*callback_data)(e)
+	eqn := cd.E
+	coeff := cd.Coeff
+
+	M1 := len(cd.Train)
+	M2 := cd.Train[0].NumPoints()
+	M3 := len(coeff)
+	M23 := M2 * M3
+	MA := M1 * M23
+
+	var p_go []C.double
+	p_head := (*reflect.SliceHeader)((unsafe.Pointer(&p_go)))
+	p_head.Cap = M3
+	p_head.Len = M3
+	p_head.Data = uintptr(unsafe.Pointer(p))
+	for i, _ := range p_go {
+		coeff[i] = float64(p_go[i])
+	}
+
+	var x_go []C.double
+	x_head := (*reflect.SliceHeader)((unsafe.Pointer(&x_go)))
+	x_head.Cap = MA
+	x_head.Len = MA
+	x_head.Data = uintptr(unsafe.Pointer(x))
+
+	N := len(cd.Train)
+	var out float64
+	for i1, PS := range cd.Train {
+		for i2, pnt := range PS.Points() {
+			i := i1*N + i2
+			if cd.Task == ExprBenchmark {
+				out = eqn.Eval(0, pnt.Indeps(), coeff, PS.SysVals())
+			} else if cd.Task == ExprDiffeq {
+				out = eqn.Eval(pnt.Indep(0), pnt.Indeps()[1:], coeff, PS.SysVals())
+			}
+
+			x_go[i] = C.double(out)
+
+		}
+	}
+}
+
+//export Callback_jacfunc
+func Callback_jacfunc(p, x *C.double, e unsafe.Pointer) {
+
+	cd := *(*callback_data)(e)
+	coeff := cd.Coeff
+
+	M1 := len(cd.Train)
+	M2 := cd.Train[0].NumPoints()
+	M3 := len(coeff)
+	M23 := M2 * M3
+	MA := M1 * M23
+
+	var p_go []C.double
+	p_head := (*reflect.SliceHeader)((unsafe.Pointer(&p_go)))
+	p_head.Cap = M3
+	p_head.Len = M3
+	p_head.Data = uintptr(unsafe.Pointer(p))
+	for i, _ := range p_go {
+		coeff[i] = float64(p_go[i])
+	}
+
+	var x_go []C.double
+	x_head := (*reflect.SliceHeader)((unsafe.Pointer(&x_go)))
+	x_head.Cap = MA
+	x_head.Len = MA
+	x_head.Data = uintptr(unsafe.Pointer(x))
+
+	var out float64
+	for i1, PS := range cd.Train {
+		for i2, pnt := range PS.Points() {
+			i := i1*M23 + i2*M3
+			for ji, eqn := range cd.J {
+				if cd.Task == ExprBenchmark {
+					out = eqn.Eval(0, pnt.Indeps(), coeff, PS.SysVals())
+				} else if cd.Task == ExprDiffeq {
+					out = eqn.Eval(pnt.Indep(0), pnt.Indeps()[1:], coeff, PS.SysVals())
+				}
+
+				x_go[i+ji] = C.double(out)
+			}
+		}
+	}
+
+}
+
+func StackLevmarExpr(e expr.Expr, x_dims int, coeff []float64, c_ygiven, c_input []C_double) []float64 {
+
+	// fmt.Printf("Entering Stack Levmar: \n")
+
+	c_coeff := make([]C.double, len(coeff))
+	for i, c := range coeff {
+		c_coeff[i] = C.double(c)
+	}
+	// c_ygiven := make([]C.double, len(ygiven))
+	// for i, c := range ygiven {
+	// 	c_ygiven[i] = C.double(c)
+	// }
+	// c_input := make([]C.double, len(input))
+	// for i, c := range input {
+	// 	c_input[i] = C.double(c)
+	// }
+
+	cp := (*C.double)(unsafe.Pointer(&c_coeff[0]))
+	mi := C.int(len(coeff))
+	yp := (*C.double)(unsafe.Pointer(&c_ygiven[0]))
+	ni := C.int(len(c_ygiven))
+
+	var sd *C.StackData
+	sd = new(C.StackData)
+	// fmt.Printf("x_len: %d   x_dim: %d\n", len(input), x_dims)
+	sd.x_len = C.int(len(c_input))
+	sd.x_dim = C.int(x_dims)
+	sd.x_data = (*C.double)(unsafe.Pointer(&c_input[0]))
+
+	serial := make([]int, 0)
+	serial = e.StackSerial(serial)
+	// fmt.Printf("StackSerial: %v\n", serial)
+	c_serial := make([]C.int, len(serial))
+	for i, I := range serial {
+		c_serial[i] = C.int(I)
+	}
+	sd.expr.serial = (*C.int)(unsafe.Pointer(&c_serial[0]))
+	sd.expr.s_len = C.int(len(serial))
+
+	// fmt.Printf("GOT HERE: %v\n", serial)
+
+	derivs := make([]C.StackExpr, len(coeff))
+	for i, _ := range coeff {
+		deriv := e.DerivConst(i)
+		dserial := make([]int, 0)
+		dserial = deriv.StackSerial(dserial)
+		d_serial := make([]C.int, len(dserial))
+		for i, I := range dserial {
+			d_serial[i] = C.int(I)
+		}
+		derivs[i].serial = (*C.int)(unsafe.Pointer(&d_serial[0]))
+		derivs[i].s_len = C.int(len(d_serial))
+
+	}
+	sd.derivs = (*C.StackExpr)(unsafe.Pointer(&derivs[0]))
+	sd.d_len = C.int(mi)
+
+	// fmt.Printf("Going into stack_levmar_dif\n")
+	C.stack_levmar_dif(yp, cp, mi, ni, unsafe.Pointer(sd))
+	// C.stack_levmar_der(yp, cp, mi, ni, unsafe.Pointer(sd))
+	// fmt.Printf("Returned from stack_levmar_dif\n")
+
+	c := make([]float64, len(c_coeff))
+	for i, _ := range c_coeff {
+		c[i] = float64(c_coeff[i])
+	}
+	// fmt.Printf("C0: %f\n", c[0])
+	return c
+}
+
+// func LevmarExpr(e expr.Expr, searchDim int, task ExprProblemType, guess []float64, train, test []*PointSet) []float64 {
+
+func IronLevmarExpr() {
+
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-levmar/levmar_c.c
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-levmar/levmar_c.c	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-levmar/levmar_c.c	(revision 16620)
@@ -0,0 +1,38 @@
+#include <stdio.h>
+#include <stdlib.h>
+#include <math.h>
+
+#include "levmar-2.6/levmar.h"
+#include "levmar_h.h"
+
+void callback_func(double *p, double *x, int m, int n, void *data) {
+  Callback_func(p,x,data);
+}
+
+void callback_jacfunc(double *p, double *jac, int m, int n, void *data) {
+  Callback_jacfunc(p,jac,data);
+}
+
+void levmar_der( double* ygiven, double* p, const int m, const int n, void* data ) {
+  double opts[LM_OPTS_SZ], info[LM_INFO_SZ];
+
+  // optimization control parameters; passing to levmar NULL instead of opts reverts to defaults
+  opts[0]=LM_INIT_MU; opts[1]=1E-15; opts[2]=1E-15; opts[3]=1E-20;
+  opts[4]=LM_DIFF_DELTA; // relevant only if the finite difference Jacobian version is used
+
+  // invoke the optimization function
+  dlevmar_der(callback_func, callback_jacfunc, p, ygiven, m, n, 1000, opts, info, NULL, NULL, data); // with analytic Jacobian
+}
+
+void levmar_dif( double* ygiven, double* p, const int m, const int n, void* data ) {
+  double opts[LM_OPTS_SZ], info[LM_INFO_SZ];
+
+  // optimization control parameters; passing to levmar NULL instead of opts reverts to defaults
+  opts[0]=LM_INIT_MU; opts[1]=1E-15; opts[2]=1E-15; opts[3]=1E-20;
+  opts[4]=LM_DIFF_DELTA; // relevant only if the finite difference Jacobian version is used
+
+  // invoke the optimization function
+  dlevmar_dif(callback_func, p, ygiven, m, n, 1000, opts, info, NULL, NULL, data); // without Jacobian
+}
+
+
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-levmar/levmar_h.h
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-levmar/levmar_h.h	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-levmar/levmar_h.h	(revision 16620)
@@ -0,0 +1,9 @@
+#ifndef PGE_LEVMAR_H
+#define PGE_LEVMAR_H
+
+
+void levmar_der(double* ygiven, double* p, int m, int n, void* data );
+void levmar_dif(double* ygiven, double* p, int m, int n, void* data );
+
+
+#endif
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-levmar/stack.c
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-levmar/stack.c	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-levmar/stack.c	(revision 16620)
@@ -0,0 +1,457 @@
+#include <stdlib.h>
+#include <stdio.h>
+#include <math.h>
+
+#include "levmar-2.6/levmar.h"
+#include "stack.h"
+
+
+#define STACK_BUF_LEN 128
+
+
+typedef struct {
+	double data[STACK_BUF_LEN];
+	int pos;
+} D_Stack;
+
+typedef struct {
+	int data[STACK_BUF_LEN];
+	int pos;
+} I_Stack;
+
+// typedef struct {
+// 	double *data;
+// 	int pos;
+// } D_StackD;
+
+// typedef struct {
+// 	int *data;
+// 	int pos;
+// } I_StackD;
+
+I_Stack* new_istack();
+int push_istack(I_Stack* stack, int i);
+void pop_istack(I_Stack* stack);
+int  top_istack(I_Stack* stack);
+int  len_istack(I_Stack* stack);
+int  get_istack(I_Stack* stack, int pos);
+int  is_empty_istack(I_Stack* stack);
+void clear_istack(I_Stack* stack);
+void free_istack(I_Stack* stack);
+
+D_Stack* new_dstack();
+int push_dstack(D_Stack* stack, double f);
+void pop_dstack(D_Stack* stack);
+double  top_dstack(D_Stack* stack);
+int  len_dstack(D_Stack* stack);
+double  get_dstack(D_Stack* stack, int pos);
+int  is_empty_dstack(D_Stack* stack);
+void clear_dstack(D_Stack* stack);
+void free_dstack(D_Stack* stack);
+
+I_Stack* new_istack() { 
+	I_Stack* stack = (I_Stack*) malloc(sizeof(I_Stack));
+	stack->pos = -1;
+	return stack;
+}
+int push_istack(I_Stack* stack, int i) { 
+	if (stack->pos +1 >= STACK_BUF_LEN)
+		return 0;
+	stack->pos++;
+	stack->data[stack->pos] = i;
+	return 1;
+}
+void pop_istack(I_Stack* stack) { 
+	if (stack->pos >= 0) stack->pos--;
+}
+int  top_istack(I_Stack* stack) { 
+	return stack->data[stack->pos];
+}
+int  len_istack(I_Stack* stack) { 
+	return stack->pos + 1;
+}
+int  get_istack(I_Stack* stack, int pos) { 
+	return stack->data[pos];
+}
+int  is_empty_istack(I_Stack* stack) { 
+	return (stack->pos < 0) ? 1 : 0;
+}
+void clear_istack(I_Stack* stack) { 
+	stack->pos = -1;
+}
+void free_istack(I_Stack* stack) { 
+	free(stack);
+}
+
+D_Stack* new_dstack() { 
+	D_Stack* stack = (D_Stack*) malloc(sizeof(D_Stack));
+	stack->pos = -1;
+	return stack;
+}
+int push_dstack(D_Stack* stack, double f) { 
+	if (stack->pos +1 >= STACK_BUF_LEN)
+		abort();
+		// return 0;
+	stack->pos++;
+	stack->data[stack->pos] = f;
+	return 1;
+}
+void pop_dstack(D_Stack* stack) { 
+	if (stack->pos >= 0) stack->pos--;
+}
+double  top_dstack(D_Stack* stack) { 
+	return stack->data[stack->pos];
+}
+int  len_dstack(D_Stack* stack) { 
+	return stack->pos + 1;
+}
+double  get_dstack(D_Stack* stack, int pos) { 
+	return stack->data[pos];
+}
+int  is_empty_dstack(D_Stack* stack) { 
+	return (stack->pos < 0) ? 1 : 0;
+}
+void clear_dstack(D_Stack* stack) { 
+	stack->pos = -1;
+}
+void free_dstack(D_Stack* stack) { 
+	free(stack);
+}
+
+
+
+
+
+
+
+
+double stack_eval(double t, double *c_in, double *x_in, D_Stack *d_stack, StackExpr expr );
+
+void stack_func( double *p, double *x, int m, int n, void *data) {
+	StackData *sdata = (StackData*)data;
+
+	int x_dim = sdata->x_dim;
+	double* x_data = sdata->x_data;
+	D_Stack d_stack;
+	// d_stack.clear();
+
+	// printf( "HELLO from stack_func\n");
+
+
+	int i;
+	for( i=0; i < n; i++ ) {
+		// printf( "%d %d %d\n",i,x_dim,sdata->x_len);
+		x[i] = stack_eval(0,p,&(x_data[i*x_dim]),&d_stack,sdata->expr);
+	}
+
+}
+
+void stack_jacfunc( double *p, double *jac, int m, int n, void *data) {
+	StackData *sdata = (StackData*)data;
+
+	int x_dim = sdata->x_dim;
+	double* x_data = sdata->x_data;
+	D_Stack d_stack;
+	// d_stack.clear();
+
+	int i,j;
+	for( i=0; i < n; i++ ) {
+		for( j=0; j < m; j++ ) {
+			jac[i*m+j] = stack_eval(0,p,&(x_data[i*x_dim]),&d_stack,sdata->derivs[j]);
+		}
+	}
+
+}
+
+
+void stack_levmar_der( double* ygiven, double* p, const int m, const int n, void* data ) {
+  double opts[LM_OPTS_SZ], info[LM_INFO_SZ];
+
+  // optimization control parameters; passing to levmar NULL instead of opts reverts to defaults
+  opts[0]=LM_INIT_MU; opts[1]=1E-15; opts[2]=1E-15; opts[3]=1E-20;
+  opts[4]=LM_DIFF_DELTA; // relevant only if the finite difference Jacobian version is used
+
+  // invoke the optimization function
+  dlevmar_der(stack_func, stack_jacfunc, p, ygiven, m, n, 1000, opts, info, NULL, NULL, data); // with analytic Jacobian
+}
+
+void stack_levmar_dif( double* ygiven, double* p, const int m, const int n, void* data ) {
+  double opts[LM_OPTS_SZ], info[LM_INFO_SZ];
+
+  // printf( "HELLO from stack_levmar_dif\n");
+	StackData *sdata = (StackData*)data;
+
+	int x_dim = sdata->x_dim;
+	int x_len = sdata->x_len;
+	// printf( "x_len: %d   x_dim: %d\n",x_len,x_dim);
+
+  // optimization control parameters; passing to levmar NULL instead of opts reverts to defaults
+  opts[0]=LM_INIT_MU; opts[1]=1E-15; opts[2]=1E-15; opts[3]=1E-20;
+  opts[4]=LM_DIFF_DELTA; // relevant only if the finite difference Jacobian version is used
+
+  // invoke the optimization function
+  dlevmar_dif(stack_func, p, ygiven, m, n, 1000, opts, info, NULL, NULL, data); // without Jacobian
+}
+
+
+/*
+ExprTypes:
+---------------
+NULL:      0
+STARTLEAF: 1
+CONSTANT:  2
+TIME:      4
+SYSTEM:    5
+VAR:       6
+LASTLEAF:  7
+STARTFUNC: 8
+NEG:       9
+ABS:       10
+SQRT:      11
+SIN:       12
+COS:       13
+TAN:       14
+EXP:       15
+LASTFUNC:  17
+POWI:      18
+POWF:      19
+POWE:      20
+DIV:       21
+ADD:       22
+MUL:       23
+EXPR_MAX:  24
+STARTVAR:  25
+*/
+
+
+// #define print_stack_eval 1
+
+double stack_eval(double t, double *c_in, double *x_in, D_Stack *d_stack, StackExpr expr ) {
+
+	// I_Stack *serial = new_istack();
+	// I_Stack istack;
+	// I_Stack *serial = &istack;
+
+	clear_dstack(d_stack);
+	int* serial = expr.serial;
+
+	
+	#ifdef print_stack_eval
+	printf("Serial: |%d|", expr.s_len);
+	#endif
+	int s;
+	for( s=0; s < expr.s_len; s++ ) {
+	// #ifdef print_stack_eval
+	// 	printf( "%d ", expr.serial[s]);
+	// #endif
+	// 	push_istack(serial,expr.serial[expr.s_len-s-1]);
+	// }
+	// #ifdef print_stack_eval
+	// printf("\n");
+	// #endif
+	
+	// clear_dstack(d_stack);
+
+	// // fill i_stack with cmds and d_stack with leaves
+	// while ( !is_empty_istack(serial) ) {
+	// 	// printf( "processing serial\n");
+		// int val = top_istack(serial);
+		// pop_istack(serial);
+
+		int val = serial[s];
+
+	#ifdef print_stack_eval
+		int dlen = len_dstack(d_stack);
+		int slen = len_istack(serial);
+		printf( "S: %d    val:  %d   \n", slen, val );
+		printf( "serial(%d): [ ", slen); 
+		for( i=0; i < slen; i++ )
+			printf( "%d ", get_istack(serial,i) );
+		printf(" ]\n");
+		printf( "d_stack(%d): [ ", dlen); 
+		for( i=0; i < dlen; i++ )
+			printf( "%.2f ", get_dstack(d_stack,i) );
+		printf(" ]\n");
+	#endif
+
+		switch (val) {
+			
+			// CONSTANT:  2
+			case 2: {
+				s++;
+				int p = serial[s];
+				// int p = top_istack(serial);
+				// pop_istack(serial);
+				push_dstack(d_stack,c_in[p]);
+			}
+				break; 
+
+			// HACK***
+			// CONSTANTF:  3
+			case 3: {
+				s++;
+				int p = serial[s];
+				// int p = top_istack(serial);
+				// pop_istack(serial);
+				push_dstack(d_stack,p);
+			}
+				break; 
+			// TIME:      4
+			case 4:
+				push_dstack(d_stack,t);
+				break;
+			// SYSTEM:    5
+			// case 5:
+				// s++;
+				// push_dstack(d_stack,sys_in[serial[s]]);
+			// VAR:       6   should already be transformed, but just in case
+			case 6: {
+				s++;
+				int p = serial[s];
+				// int p = top_istack(serial);
+				// pop_istack(serial);
+				push_dstack(d_stack,x_in[p]);
+				break;
+			}
+			// NEG:       9
+			case 9: {
+				double top = top_dstack(d_stack);
+				pop_dstack(d_stack);
+				push_dstack(d_stack, -top);
+			}
+				break;
+			// ABS:       10
+			case 10: {
+				double top = top_dstack(d_stack);
+				pop_dstack(d_stack);
+				push_dstack(d_stack, fabs(top));
+			}
+				break;
+			// SQRT:      11
+			case 11: {
+				double top = top_dstack(d_stack);
+				pop_dstack(d_stack);
+				push_dstack(d_stack, sqrt(top));
+			}
+				break;
+			// SIN:       12
+			case 12: {
+				double top = top_dstack(d_stack);
+				pop_dstack(d_stack);
+				push_dstack(d_stack, sin(top));
+			}
+				break;
+			// COS:       13
+			case 13: {
+				double top = top_dstack(d_stack);
+				pop_dstack(d_stack);
+				push_dstack(d_stack, cos(top));
+			}
+				break;
+			// TAN:       14
+			case 14: {
+				double top = top_dstack(d_stack);
+				pop_dstack(d_stack);
+				push_dstack(d_stack, tan(top));
+			}
+				break;
+			// EXP:       15
+			case 15: {
+				double top = top_dstack(d_stack);
+				pop_dstack(d_stack);
+				push_dstack(d_stack, exp(top));
+			}
+				break;
+			// LOG:       16
+			case 16: {
+				double top = top_dstack(d_stack);
+				pop_dstack(d_stack);
+				push_dstack(d_stack, log(top));
+			}
+				break;
+
+						// POWI:      18
+			case 18: {
+				double top = top_dstack(d_stack);
+				pop_dstack(d_stack);
+				s++;
+				int pwr = serial[s];
+				// int pwr = top_istack(serial);
+				// pop_istack(serial);
+				push_dstack(d_stack, pow(top,pwr));
+			}
+				break;
+			// POWE:      20
+			case 20: {
+					double top = top_dstack(d_stack);
+					pop_dstack(d_stack);
+					double pwr = top_dstack(d_stack);
+					pop_dstack(d_stack);
+					push_dstack(d_stack, pow(top,pwr));
+				}
+				break;
+			// DIV:       21
+			case 21: {
+					double denom = top_dstack(d_stack);
+					pop_dstack(d_stack);
+					double numer = top_dstack(d_stack);
+					pop_dstack(d_stack);
+					push_dstack(d_stack, numer / denom);
+				}
+				break;
+			// ADD:       22
+			case 22: {
+					double lhs = top_dstack(d_stack);
+					pop_dstack(d_stack);
+					double rhs = top_dstack(d_stack);
+					pop_dstack(d_stack);
+					push_dstack(d_stack, lhs + rhs);
+					// printf( "%f + %f = %f\n", lhs, rhs, top_dstack(d_stack));
+				}
+				break;
+			// MUL:       23
+			case 23: {
+					double lhs = top_dstack(d_stack);
+					pop_dstack(d_stack);
+					double rhs = top_dstack(d_stack);
+					pop_dstack(d_stack);
+					push_dstack(d_stack, lhs * rhs);
+					// printf( "%f * %f = %f\n", lhs, rhs, top_dstack(d_stack));
+				}
+				break;
+
+
+
+
+			case 0:
+			default:
+				// STARTVAR:  25
+				if (val >= 25) {
+					push_dstack(d_stack,x_in[val-25]); // x_dim_of_var = val - STARTVAR
+				} else {
+					printf("pushing unknown cmd %d\n", val);
+					int s;
+					for( s=0; s < expr.s_len; s++ ) {
+						printf( "%d ", expr.serial[s]);
+					}
+					printf( "\n");
+					abort();
+				}
+		}
+
+	#ifdef print_stack_eval
+		dlen = len_dstack(d_stack);
+		printf( "S: %d val: %d\n", s, val);
+		printf( "d_stack(%d): [ ", dlen); 
+		for( i=0; i < dlen; i++ )
+			printf( "%.2f ", get_dstack(d_stack,i) );
+		printf(" ]\n\n");
+	#endif
+	}
+
+	// free(serial);
+	return top_dstack(d_stack);
+
+}
+
+
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-levmar/stack.h
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-levmar/stack.h	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-levmar/stack.h	(revision 16620)
@@ -0,0 +1,25 @@
+#ifndef PGE_STACK_H
+#define PGE_STACK_H
+
+
+typedef struct {
+	int *serial;
+	int  s_len;
+} StackExpr;
+
+typedef struct {
+	int  x_len;
+	int  x_dim;
+	double *x_data;  // dim 0 == time
+
+	StackExpr  expr;
+	StackExpr *derivs;
+	int  d_len;
+} StackData;
+
+
+void stack_levmar_der(double* ygiven, double* p, int m, int n, void* data );
+void stack_levmar_dif(double* ygiven, double* p, int m, int n, void* data );
+
+
+#endif
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/config.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/config.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/config.go	(revision 16620)
@@ -0,0 +1,63 @@
+package config
+
+import (
+	"bytes"
+	"io"
+	"strings"
+)
+
+func ParseConfig(contents []byte, mapper func(field, value string, config interface{}) (err error), config interface{}) error {
+	data := bytes.NewBuffer(contents)
+
+	var field, value string
+	var err error
+
+	lineNum := 0
+	for {
+		l, buferr := data.ReadString('\n') // parse line-by-line
+		lineNum++
+		l = strings.TrimSpace(l)
+
+		if buferr != nil {
+			if buferr != io.EOF {
+				return buferr
+			}
+
+			if len(l) == 0 {
+				break
+			}
+		}
+
+		if len(l) == 0 {
+			continue
+		} // empty line
+
+		// strip comments
+		if p := strings.Index(l, "#"); p >= 0 { // comment
+			l = l[:p]
+		}
+		// for comments that take a whole line
+		l = strings.TrimSpace(l)
+		if len(l) == 0 {
+			continue
+		}
+
+		// fill field and value strings
+		if p := strings.Index(l, "="); p >= 0 { // comment
+			field = strings.TrimSpace(l[:p-1])
+			value = strings.TrimSpace(l[p+1:])
+		} else {
+		}
+
+		err = mapper(field, value, config)
+
+		if err != nil {
+			return err
+		}
+		// Reached end of data
+		if buferr == io.EOF {
+			break
+		}
+	}
+	return nil
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/main/main_default.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/main/main_default.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/main/main_default.cfg	(revision 16620)
@@ -0,0 +1,9 @@
+# Directory Configuration
+DataDir = data/
+ConfigDir = config/
+LogDir = runs/
+
+# Config files
+ProblemCfg = prob/prob_default.cfg
+# SearchCfg = gpsr/gpsr_default.cfg 
+SearchCfg = pge/pge_default.cfg
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/pge/pge_default.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/pge/pge_default.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/pge/pge_default.cfg	(revision 16620)
@@ -0,0 +1,11 @@
+# Overall search params
+MaxGen = 200
+PgeRptEpoch = 1
+PgeRptCount = 20
+PgeArchiveCap = 256
+
+# PESR config options
+PeelCount = 3
+SortType = ParetoTestError
+ZeroEpsilon = 0.00001
+
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Data.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Data.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Data.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Data
+ProblemType = Benchmark
+TrainData = benchmark/Data.trn 
+TestData = benchmark/Data.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0
+Roots = Add
+Nodes =  Add Mul Div Sin Cos Exp Log Sqrt Tan
+NonTrig =  Add Mul Div Exp Log Sqrt
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Keijzer_01.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Keijzer_01.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Keijzer_01.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Keijzer_01
+ProblemType = Benchmark
+TrainData = benchmark/Keijzer_01.trn 
+TestData = benchmark/Keijzer_01.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0
+Roots = Add
+Nodes =  Add Mul Div
+NonTrig =  Add Mul Div
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Keijzer_02.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Keijzer_02.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Keijzer_02.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Keijzer_02
+ProblemType = Benchmark
+TrainData = benchmark/Keijzer_02.trn 
+TestData = benchmark/Keijzer_02.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0
+Roots = Add
+Nodes =  Add Mul Div
+NonTrig =  Add Mul Div
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Keijzer_03.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Keijzer_03.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Keijzer_03.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Keijzer_03
+ProblemType = Benchmark
+TrainData = benchmark/Keijzer_03.trn 
+TestData = benchmark/Keijzer_03.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0
+Roots = Add
+Nodes =  Add Mul Div
+NonTrig =  Add Mul Div
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_01.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_01.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_01.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Korns_01
+ProblemType = Benchmark
+TrainData = benchmark/Korns_01.trn 
+TestData = benchmark/Korns_01.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 1 2 3 4 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0 1 2 3 4
+Roots = Add
+Nodes =  Add Mul Div Sin Cos Exp Log Sqrt Tan
+NonTrig =  Add Mul Div Exp Log Sqrt
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_02.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_02.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_02.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Korns_02
+ProblemType = Benchmark
+TrainData = benchmark/Korns_02.trn 
+TestData = benchmark/Korns_02.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 1 2 3 4 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0 1 2 3 4
+Roots = Add
+Nodes =  Add Mul Div Sin Cos Exp Log Sqrt Tan
+NonTrig =  Add Mul Div Exp Log Sqrt
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_03.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_03.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_03.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Korns_03
+ProblemType = Benchmark
+TrainData = benchmark/Korns_03.trn 
+TestData = benchmark/Korns_03.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 1 2 3 4 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0 1 2 3 4
+Roots = Add
+Nodes =  Add Mul Div Sin Cos Exp Log Sqrt Tan
+NonTrig =  Add Mul Div Exp Log Sqrt
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_04.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_04.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_04.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Korns_04
+ProblemType = Benchmark
+TrainData = benchmark/Korns_04.trn 
+TestData = benchmark/Korns_04.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 1 2 3 4 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0 1 2 3 4
+Roots = Add
+Nodes =  Add Mul Div Sin Cos Exp Log Sqrt Tan
+NonTrig =  Add Mul Div Exp Log Sqrt
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_05.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_05.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_05.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Korns_05
+ProblemType = Benchmark
+TrainData = benchmark/Korns_05.trn 
+TestData = benchmark/Korns_05.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 1 2 3 4 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0 1 2 3 4
+Roots = Add
+Nodes =  Add Mul Div Sin Cos Exp Log Sqrt Tan
+NonTrig =  Add Mul Div Exp Log Sqrt
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_06.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_06.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_06.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Korns_06
+ProblemType = Benchmark
+TrainData = benchmark/Korns_06.trn 
+TestData = benchmark/Korns_06.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 1 2 3 4 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0 1 2 3 4
+Roots = Add
+Nodes =  Add Mul Div Sin Cos Exp Log Sqrt Tan
+NonTrig =  Add Mul Div Exp Log Sqrt
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_07.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_07.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_07.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Korns_07
+ProblemType = Benchmark
+TrainData = benchmark/Korns_07.trn 
+TestData = benchmark/Korns_07.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 1 2 3 4 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0 1 2 3 4
+Roots = Add
+Nodes =  Add Mul Div Sin Cos Exp Log Sqrt Tan
+NonTrig =  Add Mul Div Exp Log Sqrt
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_08.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_08.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_08.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Korns_08
+ProblemType = Benchmark
+TrainData = benchmark/Korns_08.trn 
+TestData = benchmark/Korns_08.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 1 2 3 4 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0 1 2 3 4
+Roots = Add
+Nodes =  Add Mul Div Sin Cos Exp Log Sqrt Tan
+NonTrig =  Add Mul Div Exp Log Sqrt
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_09.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_09.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_09.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Korns_09
+ProblemType = Benchmark
+TrainData = benchmark/Korns_09.trn 
+TestData = benchmark/Korns_09.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 1 2 3 4 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0 1 2 3 4
+Roots = Add
+Nodes =  Add Mul Div Sin Cos Exp Log Sqrt Tan
+NonTrig =  Add Mul Div Exp Log Sqrt
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_10.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_10.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_10.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Korns_10
+ProblemType = Benchmark
+TrainData = benchmark/Korns_10.trn 
+TestData = benchmark/Korns_10.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 1 2 3 4 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0 1 2 3 4
+Roots = Add
+Nodes =  Add Mul Div Sin Cos Exp Log Sqrt Tan
+NonTrig =  Add Mul Div Exp Log Sqrt
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_11.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_11.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_11.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Korns_11
+ProblemType = Benchmark
+TrainData = benchmark/Korns_11.trn 
+TestData = benchmark/Korns_11.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 1 2 3 4 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0 1 2 3 4
+Roots = Add
+Nodes =  Add Mul Div Sin Cos Exp Log Sqrt Tan
+NonTrig =  Add Mul Div Exp Log Sqrt
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_12.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_12.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_12.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Korns_12
+ProblemType = Benchmark
+TrainData = benchmark/Korns_12.trn 
+TestData = benchmark/Korns_12.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 1 2 3 4 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0 1 2 3 4
+Roots = Add
+Nodes =  Add Mul Div Sin Cos Exp Log Sqrt Tan
+NonTrig =  Add Mul Div Exp Log Sqrt
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_13.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_13.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_13.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Korns_13
+ProblemType = Benchmark
+TrainData = benchmark/Korns_13.trn 
+TestData = benchmark/Korns_13.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 1 2 3 4 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0 1 2 3 4
+Roots = Add
+Nodes =  Add Mul Div Sin Cos Exp Log Sqrt Tan
+NonTrig =  Add Mul Div Exp Log Sqrt
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_15.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_15.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Korns_15.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Korns_15
+ProblemType = Benchmark
+TrainData = benchmark/Korns_15.trn 
+TestData = benchmark/Korns_15.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 1 2 3 4 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0 1 2 3 4
+Roots = Add
+Nodes =  Add Mul Div Sin Cos Exp Log Sqrt Tan
+NonTrig =  Add Mul Div Exp Log Sqrt
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Koza_1.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Koza_1.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Koza_1.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Koza_1
+ProblemType = Benchmark
+TrainData = benchmark/Koza_1.trn 
+TestData = benchmark/Koza_1.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0
+Roots = Add
+Nodes =  Add Mul Div
+NonTrig =  Add Mul Div
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Koza_2.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Koza_2.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Koza_2.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Koza_2
+ProblemType = Benchmark
+TrainData = benchmark/Koza_2.trn 
+TestData = benchmark/Koza_2.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0
+Roots = Add
+Nodes =  Add Mul Div
+NonTrig =  Add Mul Div
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Koza_3.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Koza_3.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Koza_3.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Koza_3
+ProblemType = Benchmark
+TrainData = benchmark/Koza_3.trn 
+TestData = benchmark/Koza_3.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0
+Roots = Add
+Nodes =  Add Mul Div
+NonTrig =  Add Mul Div
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_01.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_01.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_01.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Nguyen_01
+ProblemType = Benchmark
+TrainData = benchmark/Nguyen_01.trn 
+TestData = benchmark/Nguyen_01.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0
+Roots = Add
+Nodes =  Add Mul Div
+NonTrig =  Add Mul Div
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_02.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_02.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_02.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Nguyen_02
+ProblemType = Benchmark
+TrainData = benchmark/Nguyen_02.trn 
+TestData = benchmark/Nguyen_02.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0
+Roots = Add
+Nodes =  Add Mul Div
+NonTrig =  Add Mul Div
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_03.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_03.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_03.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Nguyen_03
+ProblemType = Benchmark
+TrainData = benchmark/Nguyen_03.trn 
+TestData = benchmark/Nguyen_03.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0
+Roots = Add
+Nodes =  Add Mul Div
+NonTrig =  Add Mul Div
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_04.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_04.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_04.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Nguyen_04
+ProblemType = Benchmark
+TrainData = benchmark/Nguyen_04.trn 
+TestData = benchmark/Nguyen_04.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0
+Roots = Add
+Nodes =  Add Mul Div
+NonTrig =  Add Mul Div
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_05.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_05.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_05.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Nguyen_05
+ProblemType = Benchmark
+TrainData = benchmark/Nguyen_05.trn 
+TestData = benchmark/Nguyen_05.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0
+Roots = Add
+Nodes =  Add Mul Div Sin Cos Exp Log Sqrt
+NonTrig =  Add Mul Div Exp Log
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_06.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_06.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_06.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Nguyen_06
+ProblemType = Benchmark
+TrainData = benchmark/Nguyen_06.trn 
+TestData = benchmark/Nguyen_06.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0
+Roots = Add
+Nodes =  Add Mul Div Sin Cos Exp Log Sqrt
+NonTrig =  Add Mul Div Exp Log
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_07.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_07.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_07.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Nguyen_07
+ProblemType = Benchmark
+TrainData = benchmark/Nguyen_07.trn 
+TestData = benchmark/Nguyen_07.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0
+Roots = Add
+Nodes =  Add Mul Div Sin Cos Exp Log Sqrt
+NonTrig =  Add Mul Div Exp Log
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_08.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_08.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_08.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Nguyen_08
+ProblemType = Benchmark
+TrainData = benchmark/Nguyen_08.trn 
+TestData = benchmark/Nguyen_08.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0
+Roots = Add
+Nodes =  Add Mul Div Sin Cos Exp Log Sqrt
+NonTrig =  Add Mul Div Exp Log
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_09.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_09.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_09.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Nguyen_09
+ProblemType = Benchmark
+TrainData = benchmark/Nguyen_09.trn 
+TestData = benchmark/Nguyen_09.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 1 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0 1
+Roots = Add
+Nodes =  Add Mul Div Sin Cos Exp Log Sqrt
+NonTrig =  Add Mul Div Exp Log
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_10.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_10.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_10.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Nguyen_10
+ProblemType = Benchmark
+TrainData = benchmark/Nguyen_10.trn 
+TestData = benchmark/Nguyen_10.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 1 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0 1
+Roots = Add
+Nodes =  Add Mul Div Sin Cos Exp Log Sqrt
+NonTrig =  Add Mul Div Exp Log
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_11.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_11.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_11.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Nguyen_11
+ProblemType = Benchmark
+TrainData = benchmark/Nguyen_11.trn 
+TestData = benchmark/Nguyen_11.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 1 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0 1
+Roots = Add
+Nodes =  Add Mul Div Sin Cos Exp Log Sqrt
+NonTrig =  Add Mul Div Exp Log
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_12.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_12.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Nguyen_12.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Nguyen_12
+ProblemType = Benchmark
+TrainData = benchmark/Nguyen_12.trn 
+TestData = benchmark/Nguyen_12.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 1 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0 1
+Roots = Add
+Nodes =  Add Mul Div
+NonTrig =  Add Mul Div
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Pagie_1.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Pagie_1.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/bench/Pagie_1.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Pagie_1
+ProblemType = Benchmark
+TrainData = benchmark/Pagie_1.trn 
+TestData = benchmark/Pagie_1.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars =  0 1 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars =  0 1
+Roots = Add
+Nodes =  Add Mul Div Sin Cos Exp Log Sqrt
+NonTrig =  Add Mul Div Exp Log
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/prob_bench_default.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/prob_bench_default.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/prob_bench_default.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Korns_0200
+ProblemType = Benchmark
+TrainData = Korns_01.trn 
+TestData = Korns_01.tst
+HitRatio = 0.01
+MaxIter = 50
+
+# Search Configuration
+UsableVars = 0 1 2 3 4 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars = 0 1 2 3 4 # list of indices into independent variables
+Roots = Add
+Nodes = Add Mul # Div Exp Log Cos Sin 
+NonTrig = Add Mul # Div Exp Log 
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/prob_default.cfg
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/prob_default.cfg	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/prob_default.cfg	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = Korns_0200
+ProblemType = Benchmark
+TrainData = Korns_02.trn
+TestData = Korns_02.tst
+HitRatio = 0.01
+MaxIter = 50
+
+# Search Configuration
+UsableVars = 0 1 2 3 4 # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars = 0 1 2 3 4 # list of indices into independent variables
+Roots = Add
+Nodes = Add Mul # Div Exp Log Cos Sin 
+NonTrig = Add Mul # Div Exp Log 
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/prob_template.txt
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/prob_template.txt	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/config/prob/prob_template.txt	(revision 16620)
@@ -0,0 +1,24 @@
+# Problem Configuration
+Name = {{.Name}}
+ProblemType = Benchmark
+TrainData = benchmark/{{.Name}}.trn 
+TestData = benchmark/{{.Name}}.tst
+HitRatio = 0.01
+MaxIter = 1000
+
+# Search Configuration
+UsableVars = {{range $I, $E := .TrainVars }} {{$I}}{{end}} # list of indices into independent variables
+SearchVar = 0 # index into dependent variables
+
+# Tree Bounds
+MaxSize = 50
+MinSize = 4   # GPSR does not work when MinSize < 4
+MaxDepth = 6
+MinDepth = 1
+
+# Tree Components
+UsableVars = {{range $I, $E := .TrainVars }} {{$I}}{{end}}
+Roots = Add
+Nodes = {{range .Functions}} {{.}}{{end}}
+NonTrig = {{range .NonTrig}} {{.}}{{end}}
+Leafs = Var ConstantF
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Keijzer_01.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Keijzer_01.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Keijzer_01.trn	(revision 16620)
@@ -0,0 +1,3 @@
+x 
+f(xs) 
+-1.000000 -0.000000 
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Keijzer_01.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Keijzer_01.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Keijzer_01.tst	(revision 16620)
@@ -0,0 +1,3 @@
+x 
+f(xs) 
+-1.000000 -0.000000 
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Keijzer_02.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Keijzer_02.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Keijzer_02.trn	(revision 16620)
@@ -0,0 +1,3 @@
+x 
+f(xs) 
+-2.000000 -0.000000 
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Keijzer_02.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Keijzer_02.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Keijzer_02.tst	(revision 16620)
@@ -0,0 +1,3 @@
+x 
+f(xs) 
+-2.000000 -0.000000 
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Keijzer_03.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Keijzer_03.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Keijzer_03.trn	(revision 16620)
@@ -0,0 +1,3 @@
+x 
+f(xs) 
+-3.000000 -0.000000 
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Keijzer_03.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Keijzer_03.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Keijzer_03.tst	(revision 16620)
@@ -0,0 +1,3 @@
+x 
+f(xs) 
+-3.000000 -0.000000 
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_01.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_01.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_01.trn	(revision 16620)
@@ -0,0 +1,202 @@
+x y z v w 
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_01.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_01.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_01.tst	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_02.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_02.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_02.trn	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_02.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_02.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_02.tst	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_03.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_03.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_03.trn	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_03.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_03.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_03.tst	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_04.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_04.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_04.trn	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_04.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_04.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_04.tst	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_05.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_05.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_05.trn	(revision 16620)
@@ -0,0 +1,202 @@
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_05.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_05.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_05.tst	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_06.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_06.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_06.trn	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_06.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_06.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_06.tst	(revision 16620)
@@ -0,0 +1,2002 @@
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_07.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_07.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_07.trn	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_07.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_07.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_07.tst	(revision 16620)
@@ -0,0 +1,2002 @@
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_08.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_08.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_08.trn	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_08.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_08.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_08.tst	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_09.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_09.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_09.trn	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_09.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_09.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_09.tst	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_10.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_10.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_10.trn	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_10.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_10.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_10.tst	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_11.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_11.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_11.trn	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_11.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_11.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_11.tst	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_12.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_12.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_12.trn	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_12.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_12.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_12.tst	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_13.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_13.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_13.trn	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_13.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_13.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_13.tst	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_14.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_14.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_14.trn	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_14.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_14.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_14.tst	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_15.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_15.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_15.trn	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_15.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_15.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Korns_15.tst	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Koza_1.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Koza_1.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Koza_1.trn	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Koza_1.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Koza_1.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Koza_1.tst	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Koza_2.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Koza_2.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Koza_2.trn	(revision 16620)
@@ -0,0 +1,202 @@
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Koza_2.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Koza_2.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Koza_2.tst	(revision 16620)
@@ -0,0 +1,2002 @@
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Koza_3.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Koza_3.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Koza_3.trn	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Koza_3.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Koza_3.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Koza_3.tst	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_01.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_01.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_01.trn	(revision 16620)
@@ -0,0 +1,202 @@
+x 
+f(xs) 
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_01.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_01.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_01.tst	(revision 16620)
@@ -0,0 +1,2002 @@
+x 
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_02.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_02.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_02.trn	(revision 16620)
@@ -0,0 +1,202 @@
+x 
+f(xs) 
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_02.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_02.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_02.tst	(revision 16620)
@@ -0,0 +1,2002 @@
+x 
+f(xs) 
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_03.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_03.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_03.trn	(revision 16620)
@@ -0,0 +1,202 @@
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_03.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_03.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_03.tst	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_04.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_04.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_04.trn	(revision 16620)
@@ -0,0 +1,202 @@
+x 
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_04.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_04.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_04.tst	(revision 16620)
@@ -0,0 +1,2002 @@
+x 
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_05.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_05.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_05.trn	(revision 16620)
@@ -0,0 +1,202 @@
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_05.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_05.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_05.tst	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_06.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_06.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_06.trn	(revision 16620)
@@ -0,0 +1,202 @@
+x 
+f(xs) 
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_06.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_06.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_06.tst	(revision 16620)
@@ -0,0 +1,2002 @@
+x 
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+-0.782862 -0.874483 
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+-0.774633 -0.873145 
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+-0.445243 -0.675175 
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+-0.445057 -0.674988 
+-0.186501 -0.336559 
+0.186295 0.404425 
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_07.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_07.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_07.trn	(revision 16620)
@@ -0,0 +1,202 @@
+x 
+f(xs) 
+0.213992 0.238689 
+1.355365 1.899448 
+1.223642 1.714357 
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_07.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_07.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_07.tst	(revision 16620)
@@ -0,0 +1,2002 @@
+x 
+f(xs) 
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_08.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_08.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_08.trn	(revision 16620)
@@ -0,0 +1,202 @@
+x 
+f(xs) 
+2.740453 1.655432 
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_08.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_08.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_08.tst	(revision 16620)
@@ -0,0 +1,2002 @@
+x 
+f(xs) 
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_09.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_09.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_09.trn	(revision 16620)
@@ -0,0 +1,202 @@
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_09.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_09.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_09.tst	(revision 16620)
@@ -0,0 +1,2002 @@
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_10.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_10.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_10.trn	(revision 16620)
@@ -0,0 +1,202 @@
+x y 
+f(xs) 
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_10.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_10.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_10.tst	(revision 16620)
@@ -0,0 +1,2002 @@
+x y 
+f(xs) 
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_11.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_11.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_11.trn	(revision 16620)
@@ -0,0 +1,202 @@
+x y 
+f(xs) 
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_11.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_11.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_11.tst	(revision 16620)
@@ -0,0 +1,2002 @@
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_12.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_12.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_12.trn	(revision 16620)
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Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_12.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_12.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Nguyen_12.tst	(revision 16620)
@@ -0,0 +1,2002 @@
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+0.417349 0.617564 -0.469227 
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+0.019001 0.831371 -0.485789 
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+0.464271 0.039045 -0.091895 
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+0.173497 0.637135 -0.438481 
+0.332229 0.958879 -0.523642 
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+0.382014 0.897916 -0.529242 
+0.075662 0.299346 -0.254942 
+0.914508 0.019618 -0.084812 
+0.260336 0.867738 -0.504304 
+0.675711 0.789014 -0.577792 
+0.489356 0.043947 -0.102822 
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+0.166681 0.626803 -0.434221 
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+0.243832 0.961486 -0.510220 
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+0.519139 0.626420 -0.497497 
+0.456214 0.275108 -0.288900 
+0.525911 0.937256 -0.566991 
+0.032108 0.848255 -0.488519 
+0.311167 0.647746 -0.458712 
+0.303502 0.325172 -0.291775 
+0.161486 0.888305 -0.497293 
+0.285650 0.273839 -0.252995 
+0.539136 0.912581 -0.568401 
+0.897166 0.022764 -0.096765 
+0.053208 0.622944 -0.429057 
+0.825749 0.519991 -0.482907 
+0.509273 0.817346 -0.548136 
+0.081263 0.488551 -0.369703 
+0.130954 0.991440 -0.501915 
+0.393074 0.992239 -0.536830 
+0.222513 0.133362 -0.133035 
+0.148123 0.595135 -0.420811 
+0.859606 0.281777 -0.331254 
+0.430268 0.382511 -0.354736 
+0.597374 0.667076 -0.530411 
+0.387474 0.992364 -0.535604 
+0.385498 0.883122 -0.528374 
+0.840908 0.806552 -0.575889 
+0.908346 0.287998 -0.315218 
+0.449506 0.833741 -0.536178 
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+0.729731 0.883998 -0.598295 
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+0.296382 0.203889 -0.201422 
+0.368580 0.046966 -0.077479 
+0.665793 0.396921 -0.416783 
+0.968036 0.981586 -0.528826 
+0.092487 0.242236 -0.213615 
+0.996469 0.841298 -0.490900 
+0.793350 0.139377 -0.232852 
+0.018126 0.429266 -0.337137 
+0.017030 0.931423 -0.497653 
+0.354988 0.468177 -0.387437 
+0.305487 0.318940 -0.287879 
+0.389594 0.813450 -0.518695 
+0.087978 0.458339 -0.353923 
+0.674839 0.810668 -0.582007 
+0.146956 0.098160 -0.096049 
+0.607615 0.984328 -0.587901 
+0.184238 0.226212 -0.205728 
+0.044979 0.305006 -0.258578 
+0.744533 0.892864 -0.599696 
+0.991027 0.814127 -0.491459 
+0.792963 0.974329 -0.602901 
+0.654619 0.892937 -0.591156 
+0.611157 0.298301 -0.342572 
+0.602109 0.723098 -0.548517 
+0.042053 0.967730 -0.499551 
+0.929913 0.241477 -0.268681 
+0.874467 0.303998 -0.341734 
+0.482392 0.822312 -0.542317 
+0.537532 0.753562 -0.541462 
+0.986513 0.430856 -0.350986 
+0.067691 0.741040 -0.466759 
+0.818800 0.858945 -0.589522 
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Pagie_1.trn
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Pagie_1.trn	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Pagie_1.trn	(revision 16620)
@@ -0,0 +1,27 @@
+x y 
+f(xs) 
+-5.000000 -5.000000 1.996805 
+-4.600000 -5.000000 1.996174 
+-4.200000 -5.000000 1.995199 
+-3.800000 -5.000000 1.993630 
+-3.400000 -5.000000 1.990975 
+-3.000000 -5.000000 1.986207 
+-2.600000 -5.000000 1.976988 
+-2.200000 -5.000000 1.957462 
+-1.800000 -5.000000 1.911428 
+-1.400000 -5.000000 1.791859 
+-1.000000 -5.000000 1.498403 
+-0.600000 -5.000000 1.113133 
+-0.200000 -5.000000 1.000000 
+0.200000 -5.000000 1.000000 
+0.600000 -5.000000 1.113133 
+1.000000 -5.000000 1.498403 
+1.400000 -5.000000 1.791859 
+1.800000 -5.000000 1.911428 
+2.200000 -5.000000 1.957462 
+2.600000 -5.000000 1.976988 
+3.000000 -5.000000 1.986207 
+3.400000 -5.000000 1.990975 
+3.800000 -5.000000 1.993630 
+4.200000 -5.000000 1.995199 
+4.600000 -5.000000 1.996174 
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Pagie_1.tst
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Pagie_1.tst	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/data/benchmark/Pagie_1.tst	(revision 16620)
@@ -0,0 +1,27 @@
+x y 
+f(xs) 
+-5.000000 -5.000000 1.996805 
+-4.600000 -5.000000 1.996174 
+-4.200000 -5.000000 1.995199 
+-3.800000 -5.000000 1.993630 
+-3.400000 -5.000000 1.990975 
+-3.000000 -5.000000 1.986207 
+-2.600000 -5.000000 1.976988 
+-2.200000 -5.000000 1.957462 
+-1.800000 -5.000000 1.911428 
+-1.400000 -5.000000 1.791859 
+-1.000000 -5.000000 1.498403 
+-0.600000 -5.000000 1.113133 
+-0.200000 -5.000000 1.000000 
+0.200000 -5.000000 1.000000 
+0.600000 -5.000000 1.113133 
+1.000000 -5.000000 1.498403 
+1.400000 -5.000000 1.791859 
+1.800000 -5.000000 1.911428 
+2.200000 -5.000000 1.957462 
+2.600000 -5.000000 1.976988 
+3.000000 -5.000000 1.986207 
+3.400000 -5.000000 1.990975 
+3.800000 -5.000000 1.993630 
+4.200000 -5.000000 1.995199 
+4.600000 -5.000000 1.996174 
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/list.c
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/list.c	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/list.c	(revision 16620)
@@ -0,0 +1,76 @@
+#include <stdio.h>
+#include <string.h>
+#include <stdlib.h>
+
+//#define DEBUG
+#define MAX_CHAR 255
+
+typedef struct node {
+   void *data;      //config values
+   char *name;      //config key
+   struct node *next;
+} node;
+
+static node *head = NULL;
+
+void configPrint() {
+   node *cNode = head;
+   while(cNode != NULL) {        
+      printf("Config Entry: %s\n",cNode->name);
+      cNode = cNode->next;
+   }
+}
+
+void* configGet(char *name) {
+   node *cNode = head;
+   while(cNode != NULL && strcmp(cNode->name, name) != 0) {
+      cNode = cNode->next;
+   }
+   if(cNode == NULL) {
+      #ifdef DEBUG
+         char msg[MAX_CHAR];
+         strcpy(msg, "Configsetting not found: ");
+         perror(strcat(msg, name));
+      #endif
+      return NULL;
+   } else {
+      return(void*)cNode->data;
+   }
+}
+
+void configDispose() {
+   node *cNode = head;
+   while(cNode != NULL) {        
+      node *nextN = cNode->next;
+      free(cNode->data);
+      cNode->data = NULL;
+      free(cNode->name);
+      cNode->name = NULL;
+      free(cNode);
+      cNode = nextN;
+   }
+   head = NULL;
+}
+
+void configPrepend(char *key, void *data) {
+   node *n = (node *) malloc(sizeof(node));
+   n->data = data;
+   n->name = key;
+   n->next = head;
+   head = n;
+}
+
+
+void configTest() {
+    configPrepend("pge", (void *) 10);
+    configPrepend("key2", (void *) 20);
+    configPrepend("key3", (void *)30);
+    configPrepend("key4", (void *)1);
+    configPrepend("key5", (void *) 40);
+    configPrepend("key6", (void *)56); 
+
+    printf("Found %d\n", *(int *)configGet("key4"));
+    printf("Found %d\n", *(int *)configGet("key6"));
+    printf("Found %d\n", *(int *)configGet("pge"));
+    printf("Found %d\n", *(int *)configGet("nix"));
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge.c
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge.c	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge.c	(revision 16620)
@@ -0,0 +1,76 @@
+#include <stdio.h>
+#include <stdio.h>
+#include <string.h>
+#include "libpge.h"
+
+void initTreeParams(char* Roots, char* Nodes, char* NonTrig, char* Leafs, GoInt UsableVarsN, GoInt MaxSize, GoInt MinSize, GoInt MaxDepth, GoInt MinDepth) {
+	InitTreeParams(Roots, Nodes, NonTrig, Leafs, UsableVarsN, MaxSize, MinSize, MaxDepth, MinDepth);
+}
+
+void addTrainData(char* indepNames, char* depndNames, void* matrix, GoInt nEntries) {
+	AddTrainData(indepNames, depndNames, matrix, nEntries);
+}
+
+void addTestData(char* indepNames, char* depndNames, void* matrix, GoInt nEntries) {
+	AddTestData(indepNames, depndNames, matrix, nEntries);
+}
+
+char* getStepResult(GoInt* testscore, GoInt* ncoeff) {
+	return GetStepResult(testscore, ncoeff);
+}
+
+void initSearch(GoInt maxGen, GoInt pgeRptEpoch, GoInt pgeRptCount, GoInt pgeArchiveCap, GoInt peelCnt, GoInt evalrCount, GoFloat64 zeroEpsilon, char* initMethod, char* growMethod, GoInt sortType) {
+	InitSearch(maxGen, pgeRptEpoch, pgeRptCount, pgeArchiveCap, peelCnt, evalrCount, zeroEpsilon, initMethod, growMethod, sortType);
+}
+
+void initProblem(char* Name, GoInt MaxIter, GoFloat64 HitRatio, GoInt SearchVar, char* ProblemTypeString, GoInt numProcs) {
+	 InitProblem(Name, MaxIter, HitRatio, SearchVar, ProblemTypeString, numProcs);
+}
+
+GoFloat64 getCoeffResult() {
+	return GetCoeffResult();
+}
+
+GoInt getMaxIterW() {
+	return GetMaxIterW();
+}
+
+void setMaxIterW(GoInt iter) {
+	SetMaxIterW(iter);
+}
+
+void setPeelCountW(GoInt cnt) {
+	SetPeelCountW(cnt);
+}
+
+void setInitMethodW(GoString init) {
+	SetInitMethodW(init);
+}
+
+void setGrowMethodW(GoString grow) {
+	SetGrowMethodW(grow);
+}
+
+void setEvalrCountW(GoInt cnt) {
+	SetEvalrCountW(cnt);
+}
+
+void evaluateW() {
+	EvaluateW();
+}
+
+void runW() {
+	RunW();
+}
+
+void loopW() {
+	LoopW();
+}
+
+int stepW() {
+	return StepW();
+}
+
+void cleanW() {
+	CleanW();
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge.go	(revision 16620)
@@ -0,0 +1,269 @@
+package main
+
+import "C"
+import (
+	pge "go-pge/pge"
+	"unsafe"
+	rt "runtime"
+	rand "math/rand"
+	"strings"
+	probs "go-pge/problems"
+)
+
+func main() {
+
+}
+
+var cps *pge.PgeSearch
+var tp *probs.TreeParams
+var epcomm *probs.ExprProblemComm
+var trainDatas []*probs.PointSet
+var testDatas []*probs.PointSet
+var testDatasN int
+var trainDatasN int
+var ep *probs.ExprProblem
+var per_eqns []*probs.ExprReportArray
+
+var trainData *probs.PointSet
+var testData *probs.PointSet
+
+var probIndepNames []string
+var probDepndNames []string
+
+var stepResult probs.ExprReportArray
+var lastStepRes *probs.ExprReport
+var resultNr int
+
+var nCurrentCoeff int 
+var nMaxCoeff int
+var sortTypeNr int
+var nLastResults int
+
+//export InitSearch
+func InitSearch(maxGen int, pgeRptEpoch int, pgeRptCount int, pgeArchiveCap int, peelCnt int, evalrCount int, zeroEpsilon float64, initMethod *C.char, growMethod *C.char, sortType int) {
+	cps = new(pge.PgeSearch)
+	
+	goInitMethod := C.GoString(initMethod);
+	goGrowMethod := C.GoString(growMethod);
+	
+	testDatasN = 0 
+	trainDatasN = 0
+	nLastResults = 0
+	sortTypeNr = sortType
+
+	cps.CreateDS(maxGen, pgeRptEpoch, pgeRptCount, pgeArchiveCap, peelCnt, evalrCount, zeroEpsilon, goInitMethod, goGrowMethod, sortType)
+	
+	cps.SetPeelCount(peelCnt)
+	cps.SetGrowMethod(goGrowMethod)
+	cps.SetInitMethod(goInitMethod)
+	cps.SetEvalrCount(evalrCount)
+}
+
+//export InitTreeParams
+func InitTreeParams(Roots *C.char, Nodes *C.char, NonTrig *C.char, Leafs *C.char, nUseableVars int, MaxSize int, MinSize int, MaxDepth int, MinDepth int) {
+	tp = new(probs.TreeParams)
+	goRoots := C.GoString(Roots)
+	goNodes := C.GoString(Nodes)
+	goNonTrig := C.GoString(NonTrig)
+	goLeafs := C.GoString(Leafs)
+	goUsableVars := CreateUsableVars(nUseableVars)
+	tp.CreateTreeParams(goRoots, goNodes, goNonTrig, goLeafs, goUsableVars, MaxSize, MinSize, MaxDepth, MinDepth)
+}
+
+//export AddTrainData
+func AddTrainData(indepNames *C.char, depndNames *C.char, matrix unsafe.Pointer, nEntries int) {
+	trainDatas = make([]*probs.PointSet, 1)
+	trainData = new(probs.PointSet)
+	
+	goIndepNames := strings.Split(C.GoString(indepNames), " ")
+	goDepndNames := strings.Split(C.GoString(depndNames), " ")
+	
+	probIndepNames = goIndepNames
+	probDepndNames = goDepndNames
+	
+	trainData.InitTrainData(goIndepNames, goDepndNames, matrix, nEntries)
+	
+	trainDatas[trainDatasN] = trainData
+	trainDatasN++
+}
+
+//export AddTestData
+func AddTestData(indepNames *C.char, depndNames *C.char, matrix unsafe.Pointer, nEntries int) {
+	testDatas = make([]*probs.PointSet, 1)
+	testData = new(probs.PointSet)
+	
+	goIndepNames := strings.Split(C.GoString(indepNames), " ")
+	goDepndNames := strings.Split(C.GoString(depndNames), " ")
+	
+	testData.InitTrainData(goIndepNames, goDepndNames, matrix, nEntries)
+	
+	testDatas[testDatasN] = testData
+	testDatasN++
+}
+
+//export InitProblem
+func InitProblem(Name *C.char, MaxIter int, HitRatio float64, SearchVar int, ProblemTypeString *C.char, numProcs int) {	
+	ep = new(probs.ExprProblem)	
+		
+	ep.IndepNames = probIndepNames
+	ep.DepndNames = probDepndNames
+	
+	goName := C.GoString(Name)
+	goProblemTypeString := C.GoString(ProblemTypeString)
+	
+	ep.CreatePS(goName, MaxIter, HitRatio, SearchVar, goProblemTypeString)
+	ep.TreeCfg = tp;
+	ep.UsableVars = tp.UsableVars
+	
+	cps.SetMaxIter(MaxIter)
+	per_eqns = make([]*probs.ExprReportArray, 1)
+	
+	ep.Train = trainDatas
+	ep.Test = testDatas
+	
+	initDone := make(chan int)
+	
+	rt.GOMAXPROCS(numProcs)
+	rand.Seed(rand.Int63())
+	
+	epcomm = new(probs.ExprProblemComm)
+	
+	epcomm.Cmds = make(chan int)
+    epcomm.Rpts = make(chan *probs.ExprReportArray, 64)
+	epcomm.Res = make(chan *probs.ExprReportArray, 64) //Stops at 64 if nothing gets retrieved
+	epcomm.Gen = make(chan [2]int, 64)
+	
+	cps.SetProb(ep)
+	cps.Init(initDone, ep, "", epcomm)
+	//cps.SetSort(sortTypeNr) really? sorttype is hardcoded in PGE!
+}
+
+//export GetMaxIterW
+func GetMaxIterW() int {
+	return cps.GetMaxIter()
+}
+
+//export SetMaxIterW
+func SetMaxIterW(iter int) {
+	cps.SetMaxIter(iter)
+}
+
+//export SetPeelCountW
+func SetPeelCountW(cnt int) {
+	cps.SetPeelCount(cnt)
+}
+
+//export SetInitMethodW
+func SetInitMethodW(init string) {
+	cps.SetInitMethod(init)
+}
+
+//export SetGrowMethodW
+func SetGrowMethodW(grow string) {
+	cps.SetGrowMethod(grow)
+}
+
+//export SetEvalrCountW
+func SetEvalrCountW(cnt int) {
+	cps.SetEvalrCount(cnt)
+}
+
+//export EvaluateW
+func EvaluateW() {
+	cps.Evaluate()
+}
+
+//export RunW
+func RunW() {
+	cps.Run()
+}
+
+//export LoopW
+func LoopW() {
+	cps.Loop()
+}
+
+//export GetStepResult
+func GetStepResult(testscore *int, ncoeff *int) *C.char {
+	*testscore = 0
+	
+	if resultNr < len(stepResult) && stepResult != nil {
+		elem := stepResult[resultNr]
+		resultNr++
+		lastStepRes = elem
+		if(elem != nil) {
+			*testscore = elem.TestScore()
+			*ncoeff = len(elem.Coeff())
+			nCurrentCoeff = 0
+			nMaxCoeff = len(elem.Coeff())	
+			return C.CString(elem.Expr().String())
+		}
+	}
+	return C.CString("")
+}
+
+//export GetCoeffResult
+func GetCoeffResult() float64 {
+	var res float64 = 0
+	if nCurrentCoeff < nMaxCoeff {		
+		coeffs := lastStepRes.Coeff()
+		res = coeffs[nCurrentCoeff]
+	}
+	nCurrentCoeff++
+	return res
+}
+
+//export StepW
+func StepW() int {
+	resultNr = 0
+	stepResult = nil
+	nRes := cps.Step()
+	
+	resu, ok := <- epcomm.Res
+	resultNr = nLastResults
+	
+	nNew := 0
+	if ok && resu != nil {
+		stepResult = *resu
+		nNew = nRes
+		nLastResults = 0
+	}
+		
+	return nNew
+}
+
+//export Clear
+func Clear() {
+	cps.Stop()
+}
+
+//export CheckStop
+func CheckStop() bool {
+	if cps.GetIter() > GetMaxIterW() {
+		return true
+	}
+	return false	
+}
+
+func CreateUsableVars(nEntries int) []int {
+	res := make([]int, nEntries)
+	for i := 0; i < nEntries; i++ {
+		res[i] = i
+	}
+	return res
+}
+
+func CIntArrayToSlice(matrix unsafe.Pointer, nEntries int) []int {
+	res := make([]int, nEntries)
+	for i := 0; i < nEntries; i++ {
+		item := (*int) (unsafe.Pointer( uintptr(unsafe.Pointer(matrix)) + unsafe.Sizeof(int(0)) * uintptr(i) ))
+		res[i] = *item
+		
+	}
+	return res
+}
+
+//export CleanW
+func CleanW() {
+	cps.Clean()
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge/bbsr.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge/bbsr.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge/bbsr.go	(revision 16620)
@@ -0,0 +1,98 @@
+package pge
+
+import (
+	"fmt"
+	// "sort"
+
+	probs "go-pge/problems"
+	expr "go-symexpr"
+)
+
+func (PS *PgeSearch) GenInitExpr() *probs.ReportQueue {
+
+	fmt.Println("Call gen method")
+
+
+	switch PS.cnfg.initMethod {
+	case "method1":
+		return PS.GenInitExprMethod1()
+	case "method2":
+		return PS.GenInitExprMethod2()
+	case "method3":
+		return PS.GenInitExprMethod3()
+	default:
+		fmt.Println("Unknown init method")
+	}
+	return nil
+}
+
+func (PS *PgeSearch) Expand(O expr.Expr) (ret []expr.Expr) {
+	var exprs []expr.Expr
+
+	switch PS.cnfg.growMethod {
+	case "method1":
+		exprs = PS.ExpandMethod1(O)
+	case "method2":
+		exprs = PS.ExpandMethod2(O)
+	case "method3":
+		exprs = PS.ExpandMethod3(O)
+	default:
+		fmt.Println("Unknown expand method")
+	}
+
+	// convert and simplify
+	for i, e := range exprs {
+		if e == nil {
+			continue
+		}
+		defer func() {
+			if r := recover(); r != nil {
+				fmt.Printf("Recovered in Expand %v   %d %v", r, i, e)
+				exprs[i] = nil
+			}
+		}()
+		c := make([]float64, 0)
+		// fmt.Printf("Preconv   %v\n", e)
+		c, eqn := e.ConvertToConstants(c)
+		e.CalcExprStats()
+		// fmt.Printf("Postconv  %v\n", eqn)
+
+		// fmt.Printf("Presimp  %v\n", eqn)
+		exprs[i] = eqn.Simplify(PS.cnfg.simprules)
+		// fmt.Printf("Postsimp  %v\n\n", exprs[i])
+		// serial := make([]int, 0, 64)
+		// serial = exprs[i].Serial(serial)
+		// fmt.Printf("Postsimp  %v   %v\n\n", exprs[i], serial)
+	}
+
+	// sort.Sort(expr.ExprArray(exprs))
+
+	// remove duplicates
+
+	// last := 0
+	// for last < len(exprs) && exprs[last] == nil {
+	// 	last++
+	// }
+	// for i := last + 1; i < len(exprs); i++ {
+	// 	if exprs[i] == nil {
+	// 		continue
+	// 	}
+	// 	if exprs[i].AmIAlmostSame(exprs[last]) {
+	// 		exprs[i] = nil
+	// 	} else {
+	// 		last = i
+	// 	}
+	// }
+
+	// copy to ret, ignoring nil & bad expressions ...
+	for _, e := range exprs {
+		if e == nil {
+			continue
+		}
+		// if !PS.cnfg.treecfg.CheckExpr(e) {
+		// 	continue
+		// }
+		ret = append(ret, e)
+	}
+	return ret
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge/ipre_trie.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge/ipre_trie.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge/ipre_trie.go	(revision 16620)
@@ -0,0 +1,42 @@
+package pge
+
+type IpreNode struct {
+	val int
+	cnt int
+	vst int
+
+	next map[int]*IpreNode
+}
+
+func (n *IpreNode) InsertSerial(s []int) (did_ins bool) {
+	in, _ := n.next[s[0]]
+
+	// does this branch exist?
+	if in == nil {
+		in = new(IpreNode)
+		in.val = s[0]
+		in.next = make(map[int]*IpreNode)
+		n.next[s[0]] = in
+		did_ins = true
+	}
+
+	// recursive call to insert
+	if len(s) > 1 {
+		did_ins = in.InsertSerial(s[1:]) || did_ins
+	}
+
+	// visitation accounting  
+	// (-1 is the root of the memoization tree)
+	in.vst++
+	if n.val == -1 {
+		n.vst++
+	}
+	if did_ins {
+		in.cnt++
+		if n.val == -1 {
+			n.cnt++
+		}
+	}
+
+	return did_ins
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge/pge_expand_method_1.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge/pge_expand_method_1.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge/pge_expand_method_1.go	(revision 16620)
@@ -0,0 +1,247 @@
+package pge
+
+import (
+	// "fmt"
+	"sort"
+
+	expr "go-symexpr"
+)
+
+func (PS *PgeSearch) ExpandMethod1(O expr.Expr) (ret []expr.Expr) {
+	O.Sort()
+	ret = make([]expr.Expr, 0)
+	// fmt.Printf("Expanding expression:  %v\n", O)
+
+	for i := 0; i < O.Size(); i++ {
+		I := i
+		E := O.GetExpr(&I)
+		switch E.ExprType() {
+		case expr.ADD:
+			tmp := PS.AddTermToExprMethod1(O, E, i)
+			ret = append(ret, tmp[:]...)
+
+		case expr.MUL:
+			tmp := PS.WidenTermInExprMethod1(O, E, i)
+			ret = append(ret, tmp[:]...)
+
+		case expr.VAR:
+			tmp := PS.DeepenTermInExprMethod1(O, E, i)
+			ret = append(ret, tmp[:]...)
+
+		default: // expr.DIV,expr.COS,expr.SIN,expr.EXP,expr.LOG,expr.ABS,expr.POW
+			continue
+
+		}
+	}
+
+	return ret
+}
+
+// add another term to an add expr
+func (PS *PgeSearch) AddTermToExprMethod1(O, E expr.Expr, pos int) (ret []expr.Expr) {
+	ret = make([]expr.Expr, 0)
+	A := E.(*expr.Add)
+
+	// f() + cL
+	for _, L := range PS.GenLeafs {
+		c := new(expr.Constant)
+		c.P = -1
+		l := L.Clone()
+
+		// mul it
+		M := expr.NewMul()
+		M.Insert(c)
+		M.Insert(l)
+
+		// skip if the same term already exists in the add
+		skip := false
+		for _, e := range A.CS {
+			if e == nil {
+				continue
+			}
+			// fmt.Printf("ACMP  %v  %v\n", M, e)
+			if e.AmIAlmostSame(M) || M.AmIAlmostSame(e) {
+				skip = true
+				break
+			}
+		}
+		if skip {
+			continue
+		}
+
+		C := O.Clone()
+		P := pos
+		AM := C.GetExpr(&P).(*expr.Add)
+		AM.Insert(M)
+		sort.Sort(AM)
+		C.CalcExprStats()
+		good := PS.cnfg.treecfg.CheckExpr(C)
+		if good {
+			ret = append(ret, C)
+		}
+	}
+
+	// f() + c*node(L)
+	for _, N := range PS.GenNodes {
+		for _, L := range PS.GenLeafs {
+
+			c := new(expr.Constant)
+			c.P = -1
+
+			l := L.Clone()
+			n := N.Clone()
+			p := 1
+			n.SetExpr(&p, l)
+
+			var E expr.Expr
+			if N.ExprType() == expr.DIV {
+				E = expr.NewDiv(c, l)
+			} else {
+				// mul it
+				M := expr.NewMul()
+				M.Insert(c)
+				M.Insert(n)
+				E = M
+			}
+
+			// skip if the same term already exists in the add
+			skip := false
+			for _, e := range A.CS {
+				if e == nil {
+					continue
+				}
+				// fmt.Printf("ACMP  %v  %v\n", M, e)
+				if e.AmIAlmostSame(E) || E.AmIAlmostSame(e) {
+					skip = true
+					break
+				}
+			}
+			if skip {
+				continue
+			}
+
+			// fmt.Println(E.String())
+
+			C := O.Clone()
+			P := pos
+			AM := C.GetExpr(&P).(*expr.Add)
+			AM.Insert(E)
+			sort.Sort(AM)
+			C.CalcExprStats()
+			good := PS.cnfg.treecfg.CheckExpr(C)
+			if good {
+				ret = append(ret, C)
+			}
+		}
+	}
+
+	return ret
+}
+
+// add complexity to a single multiplication term
+func (PS *PgeSearch) WidenTermInExprMethod1(O, E expr.Expr, pos int) (ret []expr.Expr) {
+	ret = make([]expr.Expr, 0)
+
+	// insert leafs  f()*L
+	for _, L := range PS.GenLeafs {
+		l := L.Clone()
+		C := O.Clone()
+		P := pos
+		e := C.GetExpr(&P)
+		// fmt.Printf("pos(%d): %v\n", pos, e)
+		M := e.(*expr.Mul)
+		M.Insert(l)
+		sort.Sort(M)
+		C.CalcExprStats()
+		good := PS.cnfg.treecfg.CheckExpr(C)
+		if good {
+			ret = append(ret, C)
+		}
+	}
+
+	// insert node(L)  :  f() * c*node(L)
+	for _, N := range PS.GenNodes {
+		for _, L := range PS.GenLeafs {
+			c := new(expr.Constant)
+			c.P = -1
+
+			l := L.Clone()
+			n := N.Clone()
+			p := 1
+			n.SetExpr(&p, l)
+
+			var E expr.Expr
+			if N.ExprType() == expr.DIV {
+				E = expr.NewDiv(c, l)
+			} else {
+				// mul it
+				M := expr.NewMul()
+				M.Insert(c)
+				M.Insert(n)
+				E = M
+			}
+
+			C := O.Clone()
+			P := pos
+			e := C.GetExpr(&P)
+			// fmt.Printf("pos(%d): %v\n", pos, e)
+			M := e.(*expr.Mul)
+
+			M.Insert(E)
+			sort.Sort(M)
+			C.CalcExprStats()
+			good := PS.cnfg.treecfg.CheckExpr(C)
+			if good {
+				ret = append(ret, C)
+			}
+		}
+	}
+	return ret
+}
+
+// change any term to something more complex...
+func (PS *PgeSearch) DeepenTermInExprMethod1(O, E expr.Expr, pos int) []expr.Expr {
+	exprs := make([]expr.Expr, 0)
+
+	// make into add
+	A := expr.NewAdd()
+	A.Insert(E.Clone())
+	OA := A.Clone()
+	exprs = append(exprs, PS.AddTermToExprMethod1(OA, A, 0)[:]...)
+
+	// make into mul
+	M := expr.NewMul()
+	M.Insert(E.Clone())
+	OM := M.Clone()
+	exprs = append(exprs, PS.WidenTermInExprMethod1(OM, M, 0)[:]...)
+
+	// // make into div
+	// if E.ExprType() != expr.DIV {
+	// 	D := new(expr.Div)
+	// 	c := new(expr.Constant)
+	// 	c.P = -1
+	// 	D.Numer = c
+	// 	D.Denom = E.Clone()
+	// 	exprs = append(exprs, D)
+	// }
+
+	// make inside of nodes
+	for _, N := range PS.GenNodes {
+		if N.ExprType() == expr.DIV {
+			continue
+		}
+		T := N.Clone()
+		P := 1
+		T.SetExpr(&P, E.Clone())
+		exprs = append(exprs, T)
+	}
+
+	ret := make([]expr.Expr, 0)
+	for _, e := range exprs {
+		C := O.Clone()
+		P := pos
+		C.SetExpr(&P, e)
+		ret = append(ret, C)
+	}
+	return ret
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge/pge_expand_method_2.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge/pge_expand_method_2.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge/pge_expand_method_2.go	(revision 16620)
@@ -0,0 +1,203 @@
+package pge
+
+import (
+	// "fmt"
+	"sort"
+
+	expr "go-symexpr"
+)
+
+func (PS *PgeSearch) ExpandMethod2(O expr.Expr) (ret []expr.Expr) {
+	O.Sort()
+	ret = make([]expr.Expr, 0)
+	// fmt.Printf("Expanding expression:  %v\n", O)
+
+	add := O.(*expr.Add)
+
+	// adding term to addition
+	for _, B := range PS.ffxBases {
+		found := false
+		for _, C := range add.CS {
+			// fmt.Printf("checking %v in %v\n", B, add)
+			if C.AmISame(B) {
+				// fmt.Println("found\n\n")
+				found = true
+				break
+			}
+		}
+		if !found {
+			e := O.Clone()
+			a := e.(*expr.Add)
+			a.Insert(B.Clone())
+			sort.Sort(a)
+			a.CalcExprStats()
+			good := PS.cnfg.treecfg.CheckExpr(a)
+			if good {
+				ret = append(ret, a)
+			}
+			// fmt.Printf("grew  %v\n\n", a)
+			// ret = append(ret, a)
+		}
+	}
+
+	// extending terms in addition
+	for _, B := range PS.ffxBases {
+		for i, C := range add.CS {
+			if C.ExprType() == expr.MUL {
+				m := C.(*expr.Mul)
+				if len(m.CS) > 3 {
+					continue
+				}
+			}
+			e := O.Clone()
+			a := e.(*expr.Add)
+			mul := expr.NewMul()
+			mul.Insert(a.CS[i])
+			mul.Insert(B.Clone())
+			a.CS[i] = mul
+			sort.Sort(a)
+			a.CalcExprStats()
+			good := PS.cnfg.treecfg.CheckExpr(a)
+			if good {
+				ret = append(ret, a)
+			}
+			// fmt.Printf("grew  %v\n\n", a)
+			ret = append(ret, a)
+		}
+	}
+
+	// deepening terms 
+	// if len(add.CS) < 2 {
+	// 	return ret
+	// }
+	for i, C := range add.CS {
+		if C.ExprType() == expr.MUL {
+			m := C.(*expr.Mul)
+			if len(m.CS) != 2 {
+				continue
+			}
+			if m.CS[1].ExprType() == expr.ADD {
+				continue
+			}
+		} else {
+			continue
+		}
+
+		for _, B := range PS.ffxBases {
+			e := O.Clone()
+			a := e.(*expr.Add)
+			m := a.CS[i].(*expr.Mul)
+			n := m.CS[1]
+
+			switch n.ExprType() {
+			case expr.SQRT:
+				A := expr.NewAdd()
+				A.Insert(n.(*expr.Sqrt).C)
+				A.Insert(B.Clone())
+				n.(*expr.Sqrt).C = A
+			case expr.SIN:
+				A := expr.NewAdd()
+				A.Insert(n.(*expr.Sin).C)
+				A.Insert(B.Clone())
+				n.(*expr.Sin).C = A
+			case expr.COS:
+				A := expr.NewAdd()
+				A.Insert(n.(*expr.Cos).C)
+				A.Insert(B.Clone())
+				n.(*expr.Cos).C = A
+			case expr.TAN:
+				A := expr.NewAdd()
+				A.Insert(n.(*expr.Tan).C)
+				A.Insert(B.Clone())
+				n.(*expr.Tan).C = A
+			case expr.EXP:
+				A := expr.NewAdd()
+				A.Insert(n.(*expr.Exp).C)
+				A.Insert(B.Clone())
+				n.(*expr.Exp).C = A
+			case expr.LOG:
+				A := expr.NewAdd()
+				A.Insert(n.(*expr.Log).C)
+				A.Insert(B.Clone())
+				n.(*expr.Log).C = A
+
+			default:
+				A := expr.NewAdd()
+				A.Insert(m.CS[1])
+				A.Insert(B.Clone())
+				m.CS[1] = A
+			}
+			sort.Sort(a)
+			a.CalcExprStats()
+			good := PS.cnfg.treecfg.CheckExpr(a)
+			if good {
+				ret = append(ret, a)
+			}
+			// fmt.Printf("grew  %v\n", a)
+			ret = append(ret, a)
+		}
+	}
+	for i, C := range add.CS {
+		if C.ExprType() == expr.MUL {
+			m := C.(*expr.Mul)
+			if len(m.CS) != 2 {
+				continue
+			}
+			if m.CS[1].ExprType() == expr.ADD {
+				continue
+			}
+		} else {
+			continue
+		}
+
+		for _, B := range PS.ffxBases {
+			e := O.Clone()
+			a := e.(*expr.Add)
+			m := a.CS[i].(*expr.Mul)
+			n := m.CS[1]
+
+			switch n.ExprType() {
+			case expr.SQRT:
+				M := expr.NewMul()
+				M.Insert(n.(*expr.Sqrt).C)
+				M.Insert(B.Clone())
+				n.(*expr.Sqrt).C = M
+			case expr.SIN:
+				M := expr.NewMul()
+				M.Insert(n.(*expr.Sin).C)
+				M.Insert(B.Clone())
+				n.(*expr.Sin).C = M
+			case expr.COS:
+				M := expr.NewMul()
+				M.Insert(n.(*expr.Cos).C)
+				M.Insert(B.Clone())
+				n.(*expr.Cos).C = M
+			case expr.TAN:
+				M := expr.NewMul()
+				M.Insert(n.(*expr.Tan).C)
+				M.Insert(B.Clone())
+				n.(*expr.Tan).C = M
+			case expr.EXP:
+				M := expr.NewMul()
+				M.Insert(n.(*expr.Exp).C)
+				M.Insert(B.Clone())
+				n.(*expr.Exp).C = M
+			case expr.LOG:
+				M := expr.NewMul()
+				M.Insert(n.(*expr.Log).C)
+				M.Insert(B.Clone())
+				n.(*expr.Log).C = M
+			}
+			sort.Sort(a)
+			a.CalcExprStats()
+			good := PS.cnfg.treecfg.CheckExpr(a)
+			if good {
+				ret = append(ret, a)
+			}
+			// fmt.Printf("grew  %v\n", a)
+			ret = append(ret, a)
+		}
+	}
+	// fmt.Println("Len of ret = ", len(ret))
+	return ret
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge/pge_expand_method_3.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge/pge_expand_method_3.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge/pge_expand_method_3.go	(revision 16620)
@@ -0,0 +1,71 @@
+package pge
+
+import (
+	// "fmt"
+	"sort"
+
+	expr "go-symexpr"
+)
+
+func (PS *PgeSearch) ExpandMethod3(O expr.Expr) (ret []expr.Expr) {
+	O.Sort()
+	ret = make([]expr.Expr, 0)
+	// fmt.Printf("Expanding expression:  %v\n", O)
+
+	add := O.(*expr.Add)
+
+	// adding term to addition
+	for _, B := range PS.ffxBases {
+		found := false
+		for _, C := range add.CS {
+			// fmt.Printf("checking %v in %v\n", B, add)
+			if C.AmISame(B) {
+				// fmt.Println("found\n\n")
+				found = true
+				break
+			}
+		}
+		if !found {
+			e := O.Clone()
+			a := e.(*expr.Add)
+			a.Insert(B.Clone())
+			sort.Sort(a)
+			a.CalcExprStats()
+			good := PS.cnfg.treecfg.CheckExpr(a)
+			if good {
+				ret = append(ret, a)
+			}
+			// fmt.Printf("grew  %v\n\n", a)
+			// ret = append(ret, a)
+		}
+	}
+
+	// extending terms in addition
+	for _, B := range PS.ffxBases {
+		for i, C := range add.CS {
+			if C.ExprType() == expr.MUL {
+				m := C.(*expr.Mul)
+				if len(m.CS) > 3 {
+					continue
+				}
+			}
+			e := O.Clone()
+			a := e.(*expr.Add)
+			mul := expr.NewMul()
+			mul.Insert(a.CS[i])
+			mul.Insert(B.Clone())
+			a.CS[i] = mul
+			sort.Sort(a)
+			a.CalcExprStats()
+			good := PS.cnfg.treecfg.CheckExpr(a)
+			if good {
+				ret = append(ret, a)
+			}
+			// fmt.Printf("grew  %v\n\n", a)
+			ret = append(ret, a)
+		}
+	}
+
+	// fmt.Println("Len of ret = ", len(ret))
+	return ret
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge/pge_init_method_1.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge/pge_init_method_1.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge/pge_init_method_1.go	(revision 16620)
@@ -0,0 +1,122 @@
+package pge
+
+import (
+	"fmt"
+
+	probs "go-pge/problems"
+	expr "go-symexpr"
+)
+
+func (PS *PgeSearch) GenInitExprMethod1() *probs.ReportQueue {
+	fmt.Printf("generating initial expressions\n")
+
+	GP := PS.cnfg.treecfg
+
+	eList := make([]expr.Expr, 0)
+
+	for _, T := range GP.Roots {
+		switch T.ExprType() {
+		case expr.ADD:
+			eList = append(eList, PS.GenInitExprAddMethod1()[:]...)
+		case expr.MUL:
+			eList = append(eList, PS.GenInitExprMulMethod1()[:]...)
+		case expr.DIV:
+			eList = append(eList, PS.GenInitExprDivMethod1()[:]...)
+		default:
+			fmt.Printf("Error in GenInitExpr: unknown ROOT %d\n", T)
+		}
+	}
+
+	exprs := probs.NewReportQueue()
+	// exprs.SetSort(PS.cnfg.sortType)
+	exprs.SetSort(probs.PESORT_PARETO_TST_ERR)
+	
+	for i, e := range eList {
+		fmt.Printf("%d:  %v\n", i, e)
+		
+		serial := make([]int, 0, 64)
+		serial = e.Serial(serial)
+		PS.Trie.InsertSerial(serial)
+		// on train data
+
+		//fmt.Printf("RegressExpr:  e: %v  || PS.prob: %v\n", e, PS.prob)
+		re := RegressExpr(e, PS.prob)  //DER DO
+		//fmt.Printf("RegressExpr:  e: %v  || PS.prob: %v || %v \n", e, PS.prob, re)
+		
+		re.SetUnitID(i)
+		exprs.Push(re)
+	}
+
+	exprs.Sort()
+	return exprs
+}
+
+func (PS *PgeSearch) GenInitExprAddMethod1() []expr.Expr {
+
+	exprs := make([]expr.Expr, 0)
+
+	// WARNING adding a single coefficient results in the same traversal but with the added extra coefficient
+	cf := new(expr.Constant)
+	cf.P = 1
+	af := new(expr.Add)
+	af.Insert(cf)
+	exprs = append(exprs, af)
+
+	for _, i := range PS.cnfg.treecfg.UsableVars {
+		c := new(expr.Constant)
+		c.P = -1
+		v := new(expr.Var)
+		v.P = i
+
+		m := expr.NewMul()
+		m.Insert(c)
+		m.Insert(v)
+
+		a := expr.NewAdd()
+		a.Insert(m)
+		exprs = append(exprs, a)
+	}
+
+	fmt.Println("Initial Add:  ", exprs)
+	return exprs
+}
+
+func (PS *PgeSearch) GenInitExprMulMethod1() []expr.Expr {
+	exprs := make([]expr.Expr, 0)
+
+	for _, i := range PS.cnfg.treecfg.UsableVars {
+		c := new(expr.Constant)
+		c.P = -1
+		v := new(expr.Var)
+		v.P = i
+
+		m := expr.NewMul()
+		m.Insert(c)
+		m.Insert(v)
+
+		exprs = append(exprs, m)
+	}
+
+	fmt.Println("Initial Mul:  ", exprs)
+	return exprs
+}
+
+func (PS *PgeSearch) GenInitExprDivMethod1() []expr.Expr {
+	exprs := make([]expr.Expr, 0)
+
+	for _, i := range PS.cnfg.treecfg.UsableVars {
+		c := new(expr.Constant)
+		c.P = -1
+		v := new(expr.Var)
+		v.P = i
+
+		d := new(expr.Div)
+		d.Numer = c
+		d.Denom = v
+
+		exprs = append(exprs, d)
+	}
+
+	fmt.Println("Initial Div:  ", exprs)
+	return exprs
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge/pge_init_method_2.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge/pge_init_method_2.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge/pge_init_method_2.go	(revision 16620)
@@ -0,0 +1,92 @@
+package pge
+
+import (
+	"fmt"
+
+	probs "go-pge/problems"
+	expr "go-symexpr"
+)
+
+// This is the FFXish style init function
+func (PS *PgeSearch) GenInitExprMethod2() *probs.ReportQueue {
+	fmt.Printf("generating initial expressions\n")
+
+	GP := PS.cnfg.treecfg
+	fmt.Printf("%v\n", GP)
+
+	bases := make([]expr.Expr, 0)
+
+	// single constant
+	bases = append(bases, expr.NewConstant(-1))
+
+	// c*x_i
+	for _, v := range PS.prob.UsableVars {
+		mul := expr.NewMul()
+		mul.Insert(expr.NewConstant(-1))
+		mul.Insert(expr.NewVar(v))
+		bases = append(bases, mul)
+	}
+
+	// c*x_i^p & c*x_i^-p
+	for p := 2; p <= 4; p++ {
+		for _, v := range PS.prob.UsableVars {
+			// positive powers
+			mul := expr.NewMul()
+			mul.Insert(expr.NewConstant(-1))
+			mul.Insert(expr.NewPowI(expr.NewVar(v), p))
+			bases = append(bases, mul)
+
+			// negative powers
+			nul := expr.NewMul()
+			nul.Insert(expr.NewConstant(-1))
+			nul.Insert(expr.NewPowI(expr.NewVar(v), -p))
+			bases = append(bases, nul)
+		}
+	}
+
+	// c*N(d*x_i)
+	for _, N := range PS.GenNodes {
+		if N.ExprType() == expr.DIV || N.ExprType() == expr.ADD || N.ExprType() == expr.MUL {
+			continue
+		}
+		for _, v := range PS.prob.UsableVars {
+			// positive powers
+			mul := expr.NewMul()
+			mul.Insert(expr.NewConstant(-1))
+
+			nul := expr.NewMul()
+			nul.Insert(expr.NewConstant(-1))
+			nul.Insert(expr.NewVar(v))
+
+			n := N.Clone()
+			p := 1
+			n.SetExpr(&p, nul)
+			mul.Insert(n)
+			bases = append(bases, mul)
+		}
+	}
+
+	// copy bases for use later in expand
+	PS.ffxBases = make([]expr.Expr, len(bases))
+	for i, b := range bases {
+		PS.ffxBases[i] = b.Clone()
+	}
+
+	exprs := probs.NewReportQueue()
+	// exprs.SetSort(PS.cnfg.sortType)
+	exprs.SetSort(probs.PESORT_PARETO_TST_ERR)
+
+	for i, e := range bases {
+		fmt.Printf("%d:  %v\n", i, e)
+		serial := make([]int, 0, 64)
+		serial = e.Serial(serial)
+		PS.Trie.InsertSerial(serial)
+		// on train data
+		re := RegressExpr(e, PS.prob)
+		re.SetUnitID(i)
+		exprs.Push(re)
+	}
+	exprs.Sort()
+
+	return exprs
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge/pge_init_method_3.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge/pge_init_method_3.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge/pge_init_method_3.go	(revision 16620)
@@ -0,0 +1,92 @@
+package pge
+
+import (
+	"fmt"
+
+	probs "go-pge/problems"
+	expr "go-symexpr"
+)
+
+// This is the FFXish style init function
+func (PS *PgeSearch) GenInitExprMethod3() *probs.ReportQueue {
+	fmt.Printf("generating initial expressions\n")
+
+	GP := PS.cnfg.treecfg
+	fmt.Printf("%v\n", GP)
+
+	bases := make([]expr.Expr, 0)
+
+	// single constant
+	bases = append(bases, expr.NewConstant(-1))
+
+	// c*x_i
+	for _, v := range PS.prob.UsableVars {
+		mul := expr.NewMul()
+		mul.Insert(expr.NewConstant(-1))
+		mul.Insert(expr.NewVar(v))
+		bases = append(bases, mul)
+	}
+
+	// c*x_i^p & c*x_i^-p
+	for p := 2; p <= 4; p++ {
+		for _, v := range PS.prob.UsableVars {
+			// positive powers
+			mul := expr.NewMul()
+			mul.Insert(expr.NewConstant(-1))
+			mul.Insert(expr.NewPowI(expr.NewVar(v), p))
+			bases = append(bases, mul)
+
+			// negative powers
+			nul := expr.NewMul()
+			nul.Insert(expr.NewConstant(-1))
+			nul.Insert(expr.NewPowI(expr.NewVar(v), -p))
+			bases = append(bases, nul)
+		}
+	}
+
+	// c*N(d*x_i)
+	for _, N := range PS.GenNodes {
+		if N.ExprType() == expr.DIV || N.ExprType() == expr.ADD || N.ExprType() == expr.MUL {
+			continue
+		}
+		for _, v := range PS.prob.UsableVars {
+			// positive powers
+			mul := expr.NewMul()
+			mul.Insert(expr.NewConstant(-1))
+
+			nul := expr.NewMul()
+			nul.Insert(expr.NewConstant(-1))
+			nul.Insert(expr.NewVar(v))
+
+			n := N.Clone()
+			p := 1
+			n.SetExpr(&p, nul)
+			mul.Insert(n)
+			bases = append(bases, mul)
+		}
+	}
+
+	// copy bases for use later in expand
+	PS.ffxBases = make([]expr.Expr, len(bases))
+	for i, b := range bases {
+		PS.ffxBases[i] = b.Clone()
+	}
+
+	exprs := probs.NewReportQueue()
+	// exprs.SetSort(PS.cnfg.sortType)
+	exprs.SetSort(probs.PESORT_PARETO_TST_ERR)
+
+	for i, e := range bases {
+		fmt.Printf("%d:  %v\n", i, e)
+		serial := make([]int, 0, 64)
+		serial = e.Serial(serial)
+		PS.Trie.InsertSerial(serial)
+		// on train data
+		re := RegressExpr(e, PS.prob)
+		re.SetUnitID(i)
+		exprs.Push(re)
+	}
+	exprs.Sort()
+
+	return exprs
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge/pge_search.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge/pge_search.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/pge/pge_search.go	(revision 16620)
@@ -0,0 +1,750 @@
+package pge
+
+import (
+	"fmt"
+	"io/ioutil"
+	"math"
+	"strconv"
+	"strings"
+
+	levmar "go-levmar"
+	config "go-pge/config"
+	probs "go-pge/problems"
+	expr "go-symexpr"
+)
+
+type PgeConfig struct {
+	// search params
+	maxGen        int
+	pgeRptEpoch   int
+	pgeRptCount   int
+	pgeArchiveCap int
+
+	simprules expr.SimpRules
+	treecfg   *probs.TreeParams
+
+	// PGE specific options
+	peelCnt     int
+	sortType    probs.SortType
+	zeroEpsilon float64
+
+	initMethod string
+	growMethod string
+
+	evalrCount int
+}
+
+func pgeConfigParser(field, value string, config interface{}) (err error) {
+
+	PC := config.(*PgeConfig)
+
+	switch strings.ToUpper(field) {
+	case "MAXGEN":
+		PC.maxGen, err = strconv.Atoi(value)
+	case "PGERPTEPOCH":
+		PC.pgeRptEpoch, err = strconv.Atoi(value)
+	case "PGERPTCOUNT":
+		PC.pgeRptCount, err = strconv.Atoi(value)
+	case "PGEARCHIVECAP":
+		PC.pgeArchiveCap, err = strconv.Atoi(value)
+
+	case "PEELCOUNT":
+		PC.peelCnt, err = strconv.Atoi(value)
+
+	case "EVALRCOUNT":
+		PC.evalrCount, err = strconv.Atoi(value)
+
+	case "SORTTYPE":
+		switch strings.ToLower(value) {
+		case "paretotrainerror":
+			PC.sortType = probs.PESORT_PARETO_TRN_ERR
+		case "paretotesterror":
+			PC.sortType = probs.PESORT_PARETO_TST_ERR
+
+		default:
+		}
+
+	case "ZEROEPSILON":
+		PC.zeroEpsilon, err = strconv.ParseFloat(value, 64)
+
+	default:
+		// check augillary parsable structures [only TreeParams for now]
+		if PC.treecfg == nil {
+			PC.treecfg = new(probs.TreeParams)
+		}
+		found, ferr := probs.ParseTreeParams(field, value, PC.treecfg)
+		if ferr != nil {
+			return ferr
+		}
+		if !found {
+		}
+
+	}
+	return
+}
+
+type PgeSearch struct {
+	id   int
+	cnfg PgeConfig
+	prob *probs.ExprProblem
+	iter int
+	stop bool
+
+	// comm up
+	commup *probs.ExprProblemComm
+
+	// comm down
+
+	// best exprs
+	Best *probs.ReportQueue
+
+	// training data in C format
+	c_input  []levmar.C_double
+	c_ygiven []levmar.C_double
+
+	// logs
+
+	// equations visited
+	Trie  *IpreNode
+	Queue *probs.ReportQueue
+
+	// eval channels
+	eval_in  chan expr.Expr
+	eval_out chan *probs.ExprReport
+
+	// genStuff
+	GenRoots   []expr.Expr
+	GenLeafs   []expr.Expr
+	GenNodes   []expr.Expr
+	GenNonTrig []expr.Expr
+
+	// FFXish stuff
+	ffxBases []expr.Expr
+
+	// statistics
+	neqns    int
+	ipreCnt  int
+	maxSize  int
+	maxScore int
+	minError float64
+}
+
+func (PS *PgeSearch) GetMaxIter() int {
+	return PS.cnfg.maxGen
+}
+func (PS *PgeSearch) GetPeelCount() int {
+	return PS.cnfg.peelCnt
+}
+func (PS *PgeSearch) SetMaxIter(iter int) {
+	PS.cnfg.maxGen = iter
+}
+func (PS *PgeSearch) SetPeelCount(cnt int) {
+	PS.cnfg.peelCnt = cnt
+}
+func (PS *PgeSearch) SetInitMethod(init string) {
+	PS.cnfg.initMethod = init
+}
+func (PS *PgeSearch) SetGrowMethod(grow string) {
+	PS.cnfg.growMethod = grow
+}
+func (PS *PgeSearch) SetEvalrCount(cnt int) {
+	PS.cnfg.evalrCount = cnt
+}
+
+func (PS *PgeSearch) ParseConfig(filename string) {
+	fmt.Printf("Parsing PGE Config: %s\n", filename)
+	data, err := ioutil.ReadFile(filename)
+	if err != nil {
+	}
+	err = config.ParseConfig(data, pgeConfigParser, &PS.cnfg)
+	if err != nil {
+	}
+}
+
+func (PS *PgeSearch) SetSort(typen int) {
+	if typen == 1 {
+		PS.Best.SetSort(probs.GPSORT_PARETO_TST_ERR)
+		PS.Best.SetSort(probs.GPSORT_PARETO_TST_ERR)
+	} else {
+		PS.Best.SetSort(probs.PESORT_PARETO_TST_ERR)
+		PS.Best.SetSort(probs.PESORT_PARETO_TST_ERR)
+	}
+}
+
+func (PS *PgeSearch) Init(done chan int, prob *probs.ExprProblem, logdir string, input interface{}) {
+
+	fmt.Printf("Init'n PGE\n")
+	// setup data
+
+	// open logs
+	//PS.initLogs(logdir)
+
+	PS.stop = false
+
+	// copy in common config options
+	PS.prob = prob
+	if PS.cnfg.treecfg == nil {
+		PS.cnfg.treecfg = PS.prob.TreeCfg.Clone()
+	}
+	srules := expr.DefaultRules()
+	srules.ConvertConsts = true
+	PS.cnfg.simprules = srules
+
+	fmt.Println("Roots:   ", PS.cnfg.treecfg.RootsS)
+	fmt.Println("Nodes:   ", PS.cnfg.treecfg.NodesS)
+	fmt.Println("Leafs:   ", PS.cnfg.treecfg.LeafsS)
+	fmt.Println("NonTrig: ", PS.cnfg.treecfg.NonTrigS)
+
+	PS.GenRoots = make([]expr.Expr, len(PS.cnfg.treecfg.Roots))
+	for i := 0; i < len(PS.GenRoots); i++ {
+		PS.GenRoots[i] = PS.cnfg.treecfg.Roots[i].Clone()
+	}
+	PS.GenNodes = make([]expr.Expr, len(PS.cnfg.treecfg.Nodes))
+	for i := 0; i < len(PS.GenNodes); i++ {
+		PS.GenNodes[i] = PS.cnfg.treecfg.Nodes[i].Clone()
+	}
+	PS.GenNonTrig = make([]expr.Expr, len(PS.cnfg.treecfg.NonTrig))
+	for i := 0; i < len(PS.GenNonTrig); i++ {
+		PS.GenNonTrig[i] = PS.cnfg.treecfg.NonTrig[i].Clone()
+	}
+
+	PS.GenLeafs = make([]expr.Expr, 0)
+	for _, t := range PS.cnfg.treecfg.LeafsT {
+		switch t {
+		case expr.TIME:
+			PS.GenLeafs = append(PS.GenLeafs, expr.NewTime())
+
+		case expr.VAR:
+			fmt.Println("Use Vars: ", PS.cnfg.treecfg.UsableVars)
+			for _, i := range PS.cnfg.treecfg.UsableVars {
+				PS.GenLeafs = append(PS.GenLeafs, expr.NewVar(i))
+			}
+
+		case expr.SYSTEM:
+			for i := 0; i < PS.prob.Train[0].NumSys(); i++ {
+				PS.GenLeafs = append(PS.GenLeafs, expr.NewSystem(i))
+			}
+
+		}
+	}
+
+	/*** FIX ME
+	PS.GenLeafs = make([]expr.Expr, len(PS.cnfg.treecfg.Leafs))
+	for i := 0; i < len(PS.GenLeafs); i++ {
+		PS.GenLeafs[i] = PS.cnfg.treecfg.Leafs[i].Clone()
+	}
+	***/
+
+	//fmt.Println("Roots:   ", PS.GenRoots)
+	//fmt.Println("Nodes:   ", PS.GenNodes)
+	//fmt.Println("Leafs:   ", PS.GenLeafs)
+	//fmt.Println("NonTrig: ", PS.GenNonTrig)
+
+	// setup communication struct
+	PS.commup = input.(*probs.ExprProblemComm)
+
+	// initialize bbq
+	PS.Trie = new(IpreNode)
+	PS.Trie.val = -1
+	PS.Trie.next = make(map[int]*IpreNode)
+
+	PS.Best = probs.NewReportQueue()
+	PS.Best.SetSort(probs.GPSORT_PARETO_TST_ERR)
+
+	PS.Queue = PS.GenInitExpr()
+	PS.Queue.SetSort(probs.PESORT_PARETO_TST_ERR)
+
+	PS.neqns = PS.Queue.Len()
+
+	PS.minError = math.Inf(1)
+
+	PS.eval_in = make(chan expr.Expr, 4048)
+	PS.eval_out = make(chan *probs.ExprReport, 4048)
+
+	fmt.Printf("Init5a\n")
+	for i := 0; i < PS.cnfg.evalrCount; i++ {
+		go PS.Evaluate()
+	}
+}
+
+func (PS *PgeSearch) Stop() {
+	PS.stop = true
+}
+
+func (PS *PgeSearch) Evaluate() {
+
+	for !PS.stop {
+		e := <-PS.eval_in
+		if e == nil {
+			continue
+		}
+		//re :=
+		//fmt.Printf("reg: %v\n", re)
+		PS.eval_out <- RegressExpr(e, PS.prob)
+	}
+
+}
+
+func (PS *PgeSearch) Run() {
+	fmt.Printf("Running PGE\n")
+
+	PS.Loop()
+
+	fmt.Println("PGE exitting")
+
+	PS.Clean()
+	PS.commup.Cmds <- -1
+}
+
+func (PS *PgeSearch) Loop() {
+
+	PS.checkMessages()
+	for !PS.stop {
+
+		fmt.Println("in: PS.step() ", PS.iter)
+		PS.Step()
+
+		// if PS.iter%PS.cnfg.pgeRptEpoch == 0 {
+		PS.reportExpr()
+		// }
+
+		// report current iteration
+		PS.commup.Gen <- [2]int{PS.id, PS.iter}
+		PS.iter++
+
+		PS.Clean()
+
+		PS.checkMessages()
+
+	}
+
+	// done expanding, pull the rest of the regressed solutions from the queue
+	p := 0
+	for PS.Queue.Len() > 0 {
+		e := PS.Queue.Pop().(*probs.ExprReport)
+
+		bPush := true
+		if len(e.Coeff()) == 1 && math.Abs(e.Coeff()[0]) < PS.cnfg.zeroEpsilon {
+			// fmt.Println("No Best Push")
+			bPush = false
+		}
+
+		if bPush {
+			// fmt.Printf("pop/push(%d,%d): %v\n", p, PS.Best.Len(), e.Expr())
+			PS.Best.Push(e)
+			p++
+		}
+
+		if e.TestScore() > PS.maxScore {
+			PS.maxScore = e.TestScore()
+		}
+		if e.TestError() < PS.minError {
+			PS.minError = e.TestError()
+			fmt.Printf("EXITING New Min Error:  %v\n", e)
+		}
+		if e.Size() > PS.maxSize {
+			PS.maxSize = e.Size()
+		}
+	}
+
+	fmt.Println("PGE sending last report")
+	PS.reportExpr()
+
+}
+
+type PeelResult struct {
+	Es *probs.ExprReport
+
+	Nobestpush    bool
+	BestNewMinErr bool
+
+	Bestlen1 int
+	Bestlen2 int
+
+	Coeff     []float64
+	TestScore int
+
+	Expre   expr.Expr
+	ExpreRe *probs.ExprReport
+}
+
+func (PS *PgeSearch) Step() int {
+
+	loop := 0
+	eval_cnt := 0 // for channeled eval
+
+	es := PS.peel()
+
+	ex := PS.expandPeeled(es)
+
+	cnt_ins := 0
+
+	inserts := make(probs.ExprReportArray, 0)
+	for cnt := range ex {
+		E := ex[cnt]
+
+		if E == nil {
+			continue
+		}
+
+		for _, e := range E {
+			if e == nil {
+				continue
+			}
+			if !PS.cnfg.treecfg.CheckExpr(e) {
+				continue
+			}
+
+			// check ipre_trie
+			serial := make([]int, 0, 64)
+			serial = e.Serial(serial)
+			ins := PS.Trie.InsertSerial(serial)
+			if !ins {
+				continue
+			}
+
+			// for serial eval
+			//re := RegressExpr(e, PS.prob) //needed for TestScore calc via RegressExpr
+			//inserts = append(inserts, re)
+
+			// start channeled eval
+			PS.eval_in <- e
+			eval_cnt++
+		}
+	}
+
+	for i := 0; i < eval_cnt; i++ {
+		re := <-PS.eval_out
+		// end channeled eval
+
+		// check for NaN/Inf in re.error  and  if so, skip
+		if math.IsNaN(re.TestError()) || math.IsInf(re.TestError(), 0) {
+			// fmt.Printf("Bad Error\n%v\n", re)
+			continue
+		}
+
+		if re.TestError() < PS.minError {
+			PS.minError = re.TestError()
+		}
+
+		// check for coeff == 0
+		doIns := true
+		for _, c := range re.Coeff() {
+			// i > 0 for free coeff
+			if math.Abs(c) < PS.cnfg.zeroEpsilon {
+				doIns = false
+				break
+			}
+		}
+
+		//fmt.Printf("StepQueue.Push(): %v\n", re)
+		//fmt.Printf("StepQueue.Push(): %v\n", re.Expr())
+
+		if doIns {
+			re.SetProcID(PS.id)
+			re.SetIterID(PS.iter)
+			re.SetUnitID(loop)
+			re.SetUniqID(PS.neqns)
+			loop++
+			PS.neqns++
+			// fmt.Printf("Queue.Push(): %v\n%v\n\n", re.Expr(), serial)
+			// fmt.Printf("Queue.Push(): %v\n", re)
+			// fmt.Printf("Queue.Push(): %v\n", re.Expr())
+			cnt_ins++
+			PS.Queue.Push(re)
+			//fmt.Printf("Testscore: %v\n", re.TestScore())
+			//PS.commup.Rpts <- &re			//sort missing! > 3 ergs
+		}
+	}
+
+	PS.Queue.Sort() //3 besten werden beim naechsten peel ausgegeben
+
+	for p := 0; p < PS.cnfg.peelCnt && PS.Queue.Len() > 0; p++ {
+		val := PS.Queue.Pop().(*probs.ExprReport)
+		inserts = append(inserts, val)
+	}
+
+	for _, e := range inserts {
+		PS.Queue.Push(e)
+	}
+
+	PS.Queue.Sort()
+
+	PS.commup.Res <- &inserts
+
+	PS.reportExpr()
+	PS.iter++
+
+	return len(inserts)
+}
+
+func (PS *PgeSearch) peel() []*probs.ExprReport {
+	es := make([]*probs.ExprReport, PS.cnfg.peelCnt)
+
+	rpt := make(probs.ExprReportArray, 0)
+
+	for p := 0; p < PS.cnfg.peelCnt && PS.Queue.Len() > 0; p++ {
+
+		e := PS.Queue.Pop().(*probs.ExprReport)
+
+		bPush := true
+		if len(e.Coeff()) == 1 && math.Abs(e.Coeff()[0]) < PS.cnfg.zeroEpsilon {
+			fmt.Println("No Best Push")
+			p--
+			continue
+		}
+
+		if bPush {
+			fmt.Printf("BEST PUSH/push(%d,%d): %v\n", p, PS.Best.Len(), e.Expr())
+			PS.Best.Push(e)
+			rpt = append(rpt, e)
+		}
+
+		es[p] = e
+
+		if e.TestScore() > PS.maxScore {
+			fmt.Printf("Testscore: %v\n", e.TestScore())
+			PS.maxScore = e.TestScore()
+		}
+		if e.TestError() < PS.minError {
+			PS.minError = e.TestError()
+			fmt.Printf("Best New Min Error:  %v\n", e)
+		}
+		if e.Size() > PS.maxSize {
+			PS.maxSize = e.Size()
+		}
+
+	}
+
+	//fmt.Printf("sand %d best pushes in peel\n", len(rpt))
+	//PS.commup.Res <- &rpt
+
+	_ = rpt
+
+	return es
+}
+
+func (PS *PgeSearch) expandPeeled(es []*probs.ExprReport) [][]expr.Expr {
+	eqns := make([][]expr.Expr, PS.cnfg.peelCnt)
+	for p := 0; p < PS.cnfg.peelCnt; p++ {
+		if es[p] == nil {
+			continue
+		}
+		// fmt.Printf("expand(%d): %v\n", p, es[p].Expr())
+		if es[p].Expr().ExprType() != expr.ADD {
+			add := expr.NewAdd()
+			add.Insert(es[p].Expr())
+			add.CalcExprStats()
+			es[p].SetExpr(add)
+		}
+		eqns[p] = PS.Expand(es[p].Expr())
+		// fmt.Printf("Results:\n")
+		// for i, e := range eqns[p] {
+		// 	fmt.Printf("%d,%d:  %v\n", p, i, e)
+		// }
+		// fmt.Println()
+	}
+	fmt.Println("\n")
+	return eqns
+}
+
+//Hier ist das pgeRpt problem, liefert immer die besten pgerpt cnt ergebnisse zurueck
+// //*
+func (PS *PgeSearch) reportExpr() {
+
+	cnt := PS.cnfg.pgeRptCount
+	PS.Best.Sort()
+
+	// repot best equations
+	rpt := make(probs.ExprReportArray, cnt)
+	if PS.Best.Len() < cnt {
+		cnt = PS.Best.Len()
+	}
+	copy(rpt, PS.Best.GetQueue()[:cnt])
+
+	errSum, errCnt := 0.0, 0
+	for _, r := range rpt {
+		if r != nil && r.Expr() != nil {
+			errSum += r.TestError()
+			errCnt++
+		}
+	}
+
+	//PS.commup.Rpts <- &rpt
+
+}
+
+func (PS *PgeSearch) FirstPeel() {
+	PS.peel()
+}
+
+func (PS *PgeSearch) Clean() {
+
+}
+
+func (PS *PgeSearch) initLogs(logdir string) {
+
+}
+
+func (PS *PgeSearch) checkMessages() {
+
+	// check messages from superior
+	select {
+	case cmd, ok := <-PS.commup.Cmds:
+		if ok {
+			if cmd == -1 {
+				fmt.Println("PGE: stop sig recv'd")
+				PS.stop = true
+				return
+			}
+		}
+	default:
+		return
+	}
+}
+
+var c_input, c_ygiven []levmar.C_double
+
+func RegressExpr(E expr.Expr, P *probs.ExprProblem) (R *probs.ExprReport) {
+
+	guess := make([]float64, 0)
+	guess, eqn := E.ConvertToConstants(guess)
+
+	var coeff []float64
+	if len(guess) > 0 {
+
+		// fmt.Printf("x_dims:  %d  %d\n", x_dim, x_dim2)
+
+		// Callback version
+		coeff = levmar.LevmarExpr(eqn, P.SearchVar, P.SearchType, guess, P.Train, P.Test)
+
+		// Stack version
+		// x_dim := P.Train[0].NumDim()
+		// if c_input == nil {
+		// 	ps := P.Train[0].NumPoints()
+		// 	PS := len(P.Train) * ps
+		// 	x_tot := PS * x_dim
+
+		// 	c_input = make([]levmar.C_double, x_tot)
+		// 	c_ygiven = make([]levmar.C_double, PS)
+
+		// 	for i1, T := range P.Train {
+		// 		for i2, p := range T.Points() {
+		// 			i := i1*ps + i2
+		// 			c_ygiven[i] = levmar.MakeCDouble(p.Depnd(P.SearchVar))
+		// 			for i3, x_p := range p.Indeps() {
+		// 				j := i1*ps*x_dim + i2*x_dim + i3
+		// 				c_input[j] = levmar.MakeCDouble(x_p)
+		// 			}
+		// 		}
+		// 	}
+		// }
+		// coeff = levmar.StackLevmarExpr(eqn, x_dim, guess, c_ygiven, c_input)
+
+		// serial := make([]int, 0)
+		// serial = eqn.StackSerial(serial)
+		// fmt.Printf("StackSerial: %v\n", serial)
+		// fmt.Printf("%v\n%v\n%v\n\n", eqn, coeff, steff)
+	}
+
+	R = new(probs.ExprReport)
+	R.SetExpr(eqn) /*.ConvertToConstantFs(coeff)*/
+	R.SetCoeff(coeff)
+	R.Expr().CalcExprStats()
+
+	// hitsL1, hitsL2, evalCnt, nanCnt, infCnt, l1_err, l2_err := scoreExpr(E, P, coeff)
+	_, _, _, trnNanCnt, _, trn_l1_err, _ := scoreExpr(E, P, P.Train, coeff)
+	_, _, tstEvalCnt, tstNanCnt, _, tst_l1_err, tst_l2_err := scoreExpr(E, P, P.Test, coeff)
+
+	R.SetTrainScore(trnNanCnt)
+	R.SetTrainError(trn_l1_err)
+
+	R.SetPredScore(tstNanCnt)
+	R.SetTestScore(tstEvalCnt)
+	R.SetTestError(tst_l1_err)
+	R.SetPredError(tst_l2_err)
+
+	return R
+}
+
+func scoreExpr(e expr.Expr, P *probs.ExprProblem, dataSets []*probs.PointSet, coeff []float64) (hitsL1, hitsL2, evalCnt, nanCnt, infCnt int, l1_err, l2_err float64) {
+	var l1_sum, l2_sum float64
+	for _, PS := range dataSets {
+		for _, p := range PS.Points() {
+			y := p.Depnd(P.SearchVar)
+			var out float64
+			if P.SearchType == probs.ExprBenchmark {
+				out = e.Eval(0, p.Indeps(), coeff, PS.SysVals())
+			} else if P.SearchType == probs.ExprDiffeq {
+				out = e.Eval(p.Indep(0), p.Indeps()[1:], coeff, PS.SysVals())
+			}
+
+			if math.IsNaN(out) {
+				nanCnt++
+				continue
+			} else if math.IsInf(out, 0) {
+				infCnt++
+				continue
+			} else {
+				evalCnt++
+			}
+
+			diff := out - y
+			l1_val := math.Abs(diff)
+			l2_val := diff * diff
+			l1_sum += l1_val
+			l2_sum += l2_val
+
+			if l1_val < P.HitRatio {
+				hitsL1++
+			}
+			if l2_val < P.HitRatio {
+				hitsL2++
+			}
+		}
+	}
+
+	if evalCnt == 0 {
+		l1_err = math.NaN()
+		l2_err = math.NaN()
+	} else {
+		fEvalCnt := float64(evalCnt + 1)
+		l1_err = l1_sum / fEvalCnt
+		l2_err = math.Sqrt(l2_sum / fEvalCnt)
+	}
+
+	return
+}
+
+func (PS *PgeSearch) CreateDS(maxGen int, pgeRptEpoch int, pgeRptCount int, pgeArchiveCap int, peelCnt int, evalrCount int, zeroEpsilon float64, initMethod string, growMethod string, sortType int) {
+	PS.id = 0
+
+	var PC PgeConfig
+
+	PC.pgeRptEpoch = pgeRptEpoch
+	PC.pgeRptCount = pgeRptCount
+	PC.pgeArchiveCap = pgeArchiveCap
+	PC.peelCnt = peelCnt
+	PC.evalrCount = evalrCount
+	PC.zeroEpsilon = zeroEpsilon
+	PC.initMethod = initMethod
+	PC.growMethod = growMethod
+
+	if sortType == 1 {
+		PC.sortType = probs.PESORT_PARETO_TRN_ERR
+	} else {
+		PC.sortType = probs.PESORT_PARETO_TST_ERR
+	}
+
+	PC.maxGen = maxGen
+	PS.cnfg = PC
+	PS.stop = false
+	PS.iter = 0
+}
+
+func (PS *PgeSearch) SetProb(ep *probs.ExprProblem) {
+	PS.prob = ep
+}
+func (PS *PgeSearch) GetIter() int {
+	return PS.iter
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/problems/benchmarks.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/problems/benchmarks.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/problems/benchmarks.go	(revision 16620)
@@ -0,0 +1,237 @@
+package problems
+
+import (
+	// "fmt"
+	expr "go-symexpr"
+	"math"
+	"math/rand"
+)
+
+type RangeType int
+
+const (
+	_ RangeType = iota
+	Uniform
+	Equal
+)
+
+type BenchmarkVar struct {
+	Name    string
+	Index   int
+	Rtype   RangeType
+	L, H, S float64 // low,high,step of range
+}
+
+type Benchmark struct {
+	Name         string
+	TrainVars    []BenchmarkVar
+	TrainSamples int
+	TestVars     []BenchmarkVar
+	TestSamples  int
+
+	Functions []string
+	NonTrig   []string
+	FuncText  string // function as text
+
+}
+
+func GenBenchmark(b Benchmark) (p *ExprProblem) {
+	p = new(ExprProblem)
+	p.Name = b.Name
+
+	// set the function
+	varNames := make([]string, 0)
+	for _, v := range b.TrainVars {
+		// fmt.Printf("  %v\n", v)
+		varNames = append(varNames, v.Name)
+	}
+	eqn := expr.ParseFunc(b.FuncText, varNames)
+	sort := eqn.Clone()
+	rules := expr.DefaultRules()
+	rules.GroupAddTerms = false
+	sort = sort.Simplify(rules)
+	p.VarNames = varNames
+	p.FuncTree = sort
+
+	trn := new(PointSet)
+	trn.SetFN(b.Name + "_train")
+	trn.SetID(0)
+	trn.SetNumDim(len(varNames))
+	trn.SetIndepNames(varNames)
+	trn.SetDepndNames([]string{"f(xs)"})
+	trn.SetPoints(GenBenchData(eqn, b.TrainVars, b.TrainSamples))
+	p.Train = make([]*PointSet, 1)
+	p.Train[0] = trn
+
+	tst := new(PointSet)
+	tst.SetFN(b.Name + "_test")
+	tst.SetID(0)
+	tst.SetNumDim(len(varNames))
+	tst.SetIndepNames(varNames)
+	tst.SetDepndNames([]string{"f(xs)"})
+	tst.SetPoints(GenBenchData(eqn, b.TestVars, b.TestSamples))
+	p.Test = make([]*PointSet, 1)
+	p.Test[0] = tst
+
+	return p
+}
+
+func GenBenchData(e expr.Expr, vars []BenchmarkVar, samples int) (pts []Point) {
+	pts = make([]Point, 0)
+	if vars[0].Rtype == Uniform {
+		for i := 0; i < samples; i++ {
+			input := make([]float64, len(vars))
+		retry:
+			for j, v := range vars {
+				r := rand.Float64()
+				input[j] = (r * (v.H - v.L)) + v.L
+			}
+			out := e.Eval(0, input, nil, nil)
+
+			if math.IsNaN(out) || math.IsInf(out, 0) || math.Abs(out) > 100000.0 {
+				goto retry
+			}
+
+			var pnt Point
+			pnt.SetIndeps(input)
+			pnt.SetDepnds([]float64{out})
+			pts = append(pts, pnt)
+		}
+	} else { // RangeType == Equal
+		counter := make([]float64, len(vars))
+		for j, v := range vars {
+			counter[j] = v.L
+		}
+		L1, L2 := len(vars)-1, vars[len(vars)-1].L
+
+		for counter[L1] <= L2 {
+			input := make([]float64, len(vars))
+			copy(input, counter)
+
+			out := e.Eval(0, input, nil, nil)
+			var pnt Point
+			pnt.SetIndeps(input)
+			pnt.SetDepnds([]float64{out})
+			pts = append(pts, pnt)
+
+			// increment counter
+			for j, v := range vars {
+				counter[j] += v.S
+				if counter[j] > v.H {
+					counter[j] = v.L
+				} else {
+					break
+				}
+			}
+		}
+
+	}
+
+	return
+}
+
+var xU11 = BenchmarkVar{"x", 0, Uniform, -1.0, 1.0, 0.0}
+var xU22 = BenchmarkVar{"x", 0, Uniform, -2.0, 2.0, 0.0}
+var xU33 = BenchmarkVar{"x", 0, Uniform, -3.0, 3.0, 0.0}
+var xU01 = BenchmarkVar{"x", 0, Uniform, 0.0, 1.0, 0.0}
+var xU02 = BenchmarkVar{"x", 0, Uniform, 0.0, 2.0, 0.0}
+var xU04 = BenchmarkVar{"x", 0, Uniform, 0.0, 4.0, 0.0}
+var yU01 = BenchmarkVar{"y", 1, Uniform, 0.0, 1.0, 0.0}
+
+var xU5050 = BenchmarkVar{"x", 0, Uniform, -50.0, 50.0, 0.0}
+var yU5050 = BenchmarkVar{"y", 1, Uniform, -50.0, 50.0, 0.0}
+var zU5050 = BenchmarkVar{"z", 2, Uniform, -50.0, 50.0, 0.0}
+var vU5050 = BenchmarkVar{"v", 3, Uniform, -50.0, 50.0, 0.0}
+var wU5050 = BenchmarkVar{"w", 4, Uniform, -50.0, 50.0, 0.0}
+
+var korns5 = []BenchmarkVar{xU5050, yU5050, zU5050, vU5050, wU5050}
+var xyU01 = []BenchmarkVar{xU01, yU01}
+
+var xE11_01 = BenchmarkVar{"x", 0, Equal, -1.0, 1.0, 0.01}
+var xE22_01 = BenchmarkVar{"x", 0, Equal, -2.0, 2.0, 0.01}
+var xE33_01 = BenchmarkVar{"x", 0, Equal, -3.0, 3.0, 0.01}
+var xE11_001 = BenchmarkVar{"x", 0, Equal, -1.0, 1.0, 0.001}
+var xE22_001 = BenchmarkVar{"x", 0, Equal, -2.0, 2.0, 0.001}
+var xE33_001 = BenchmarkVar{"x", 0, Equal, -3.0, 3.0, 0.001}
+
+var xE55_4 = BenchmarkVar{"x", 0, Equal, -5.0, 5.0, 0.4}
+var yE55_4 = BenchmarkVar{"y", 1, Equal, -5.0, 5.0, 0.4}
+var xyE55_4 = []BenchmarkVar{xE55_4, yE55_4}
+
+var kozaFuncs = []string{"Add", "Mul", "Div", "Sin", "Cos", "Exp", "Log"}
+var kornsFuncs = []string{"Add", "Mul", "Div", "Sin", "Cos", "Exp", "Log", "Sqrt"}
+var vladiFuncsA = []string{"Add", "Mul", "Div"}
+var vladiFuncsB = []string{"Add", "Mul", "Div", "Exp"}
+var vladiFuncsC = []string{"Add", "Mul", "Div", "Sin", "Cos", "Exp"}
+
+var kozaFuncs_NT = []string{"Add", "Mul", "Div", "Exp", "Log"}
+var kornsFuncs_NT = []string{"Add", "Mul", "Div", "Exp", "Log", "Sqrt"}
+var vladiFuncsA_NT = []string{"Add", "Mul", "Div"}
+var vladiFuncsB_NT = []string{"Add", "Mul", "Div", "Exp"}
+var vladiFuncsC_NT = []string{"Add", "Mul", "Div", "Exp"}
+
+var BenchmarkList = []Benchmark{
+	Benchmark{"Koza_1", []BenchmarkVar{xU11}, 200, []BenchmarkVar{xU11}, 2000, vladiFuncsA, vladiFuncsA_NT, "x^4 + x^3 + x^2 + x"},
+	Benchmark{"Koza_2", []BenchmarkVar{xU11}, 200, []BenchmarkVar{xU11}, 2000, vladiFuncsA, vladiFuncsA_NT, "x^5 - 2x^3 + x"},
+	Benchmark{"Koza_3", []BenchmarkVar{xU11}, 200, []BenchmarkVar{xU11}, 2000, vladiFuncsA, vladiFuncsA_NT, "x^6 - 2x^4 + x^2"},
+
+	Benchmark{"Nguyen_01", []BenchmarkVar{xU11}, 200, []BenchmarkVar{xU11}, 2000, vladiFuncsA, vladiFuncsA_NT, "x^3 + x^2 + x"},
+	Benchmark{"Nguyen_02", []BenchmarkVar{xU11}, 200, []BenchmarkVar{xU11}, 2000, vladiFuncsA, vladiFuncsA_NT, "x^4 + x^3 + x^2 + x"},
+	Benchmark{"Nguyen_03", []BenchmarkVar{xU11}, 200, []BenchmarkVar{xU11}, 2000, vladiFuncsA, vladiFuncsA_NT, "x^5 + x^4 + x^3 + x^2 + x"},
+	Benchmark{"Nguyen_04", []BenchmarkVar{xU11}, 200, []BenchmarkVar{xU11}, 2000, vladiFuncsA, vladiFuncsA_NT, "x^6 + x^5 + x^4 + x^3 + x^2 + x"},
+	Benchmark{"Nguyen_05", []BenchmarkVar{xU11}, 200, []BenchmarkVar{xU11}, 2000, kozaFuncs, kozaFuncs_NT, "sin(x^2)*cos(x) - 1"},
+	Benchmark{"Nguyen_06", []BenchmarkVar{xU11}, 200, []BenchmarkVar{xU11}, 2000, kozaFuncs, kozaFuncs_NT, "sin(x) + sin(x + x^2)"},
+	Benchmark{"Nguyen_07", []BenchmarkVar{xU02}, 200, []BenchmarkVar{xU02}, 2000, kozaFuncs, kozaFuncs_NT, "ln(x+1) + ln(x^2 + 1)"},
+	Benchmark{"Nguyen_08", []BenchmarkVar{xU04}, 200, []BenchmarkVar{xU04}, 2000, kozaFuncs, kozaFuncs_NT, "sqrt(x)"},
+	Benchmark{"Nguyen_09", xyU01, 200, xyU01, 2000, kozaFuncs, kozaFuncs_NT, "sin(x) + sin(y^2)"},
+	Benchmark{"Nguyen_10", xyU01, 200, xyU01, 2000, kozaFuncs, kozaFuncs_NT, "2*sin(x)*cos(y)"},
+	Benchmark{"Nguyen_11", xyU01, 200, xyU01, 2000, kozaFuncs, kozaFuncs_NT, "x^y"},
+	Benchmark{"Nguyen_12", xyU01, 200, xyU01, 2000, vladiFuncsA, vladiFuncsA_NT, "x^4 - x^3 + 0.5*y^2 - y"},
+
+	Benchmark{"Pagie_1", xyE55_4, 0, xyE55_4, 0, kozaFuncs, kozaFuncs_NT, "1 / (1 + x^-4) + 1 / (1 + y^-4)"},
+
+	// 5 inputs: x,y,z,v,w
+	Benchmark{"Korns_01", korns5, 200, korns5, 2000, kornsFuncs, kornsFuncs_NT, "1.57 + 24.3*v"},
+	Benchmark{"Korns_02", korns5, 200, korns5, 2000, kornsFuncs, kornsFuncs_NT, "0.23 + 14.2*(v+y)/3w"},
+	Benchmark{"Korns_03", korns5, 200, korns5, 2000, kornsFuncs, kornsFuncs_NT, "-5.41 + 4.9*(v-x+y/w)/3w"},
+	Benchmark{"Korns_04", korns5, 200, korns5, 2000, kornsFuncs, kornsFuncs_NT, "-2.3 + 0.13sin(z)"},
+	Benchmark{"Korns_05", korns5, 200, korns5, 2000, kornsFuncs, kornsFuncs_NT, "3 + 2.13*ln(w)"},
+	Benchmark{"Korns_06", korns5, 200, korns5, 2000, kornsFuncs, kornsFuncs_NT, "1.3 + 0.13*sqrt(x)"},
+	Benchmark{"Korns_07", korns5, 200, korns5, 2000, kornsFuncs, kornsFuncs_NT, "213.80940889*(1 - e^(-0.54723748542*x))"},
+	Benchmark{"Korns_08", korns5, 200, korns5, 2000, kornsFuncs, kornsFuncs_NT, "6.87 + 11*sqrt(7.23*x*v*w)"},
+	Benchmark{"Korns_09", korns5, 200, korns5, 2000, kornsFuncs, kornsFuncs_NT, "(sqrt(x)/ln(y)) * (e^z / v^2)"},
+	Benchmark{"Korns_10", korns5, 200, korns5, 2000, kornsFuncs, kornsFuncs_NT, "0.81 + 24.3*(2y+3*z^2)/(4*(v)^3+5*(w)^4)"},
+	Benchmark{"Korns_11", korns5, 200, korns5, 2000, kornsFuncs, kornsFuncs_NT, "6.87 + 11*cos(7.23*x^3)"},
+	Benchmark{"Korns_12", korns5, 200, korns5, 2000, kornsFuncs, kornsFuncs_NT, "2 - 2.1*cos(9.8*x)*sin(1.3*w)"},
+	Benchmark{"Korns_13", korns5, 200, korns5, 2000, kornsFuncs, kornsFuncs_NT, "32 - 3*(tan(x)*tan(z))/(tan(y)*tan(v))"},
+	Benchmark{"Korns_14", korns5, 200, korns5, 2000, kornsFuncs, kornsFuncs_NT, "22 - 4.2*(cos(x)-tan(y))*(tanh(z)/sin(v))"},
+	Benchmark{"Korns_15", korns5, 200, korns5, 2000, kornsFuncs, kornsFuncs_NT, "12 - 6*(tan(x)/e^y)(ln(z)-tan(v))"},
+
+	Benchmark{"Keijzer_01", []BenchmarkVar{xE11_01}, 0, []BenchmarkVar{xE11_001}, 0, vladiFuncsA, vladiFuncsA_NT, "0.3*x*sin(2*PI*x)"},
+	Benchmark{"Keijzer_02", []BenchmarkVar{xE22_01}, 0, []BenchmarkVar{xE22_001}, 0, vladiFuncsA, vladiFuncsA_NT, "0.3*x*sin(2*PI*x)"},
+	Benchmark{"Keijzer_03", []BenchmarkVar{xE33_01}, 0, []BenchmarkVar{xE33_001}, 0, vladiFuncsA, vladiFuncsA_NT, "0.3*x*sin(2*PI*x)"},
+	// Benchmark{"Keijzer_04", "x", "E[0,10,0.05]", "x^3*e^-x*cos(x)*sin(x)*((sin(x))^2*cos(x) - 1)"},
+	// Benchmark{"Keijzer_05", "x,y,z", "x,z: U[-1,1,1000] y: U[1,2,1000]", "(30*x*z) / ((x-10)*y^2)"},
+	// // Benchmark{"Keijzer_06", "x", "E[1,50,1]", "\\SUM_i^x (1/i)"},
+	// Benchmark{"Keijzer_07", "x", "E[1,100,1]", "ln(x)"},
+	// Benchmark{"Keijzer_08", "x", "E[0,100,1]", "sqrt(x)"},
+	// // arcsinh(x) == ln(x+sqrt(x^2+1))
+	// Benchmark{"Keijzer_09", "x", "E[0,100,1]", "ln(x+sqrt(x^2+1))"},
+	// Benchmark{"Keijzer_10", "x,y", "U[0,1,100]", "x^y"},
+	// // xy ? sin((x-1)(y-1))
+	// // Benchmark{"Keijzer_11", "x,y", "U[-3,3,20]", "xy ? sin((x-1)*(y-1))"},
+	// Benchmark{"Keijzer_12", "x,y", "U[-3,3,20]", "x^4 - x^3 + 0.5*y^2 - y "},
+	// Benchmark{"Keijzer_13", "x,y", "U[-3,3,20]", "6*sin(x)*cos(y)"},
+	// Benchmark{"Keijzer_14", "x,y", "U[-3,3,20]", "8 / (2 + x^2 + y^2) "},
+	// Benchmark{"Keijzer_15", "x,y", "U[-3,3,20]", "0.2*x^3 + 0.5*y^2 - y - x "},
+
+	// // (e^{-(x-1)^2}) / (1.2 + (y-2.5)^2)
+	// Benchmark{"Vladislavleva_1", "x,y", "?U[0.3,4,10]?", "(e^{-(x-1)^2}) / (1.2 + (y-2.5)^2)"},
+	// Benchmark{"Vladislavleva_2", "x", "E[0.05,10,0.1]", "e^-x* x^3 * (cos(x)*sin(x)) * (cos(x)*(sin(x))^2-1)"},
+	// Benchmark{"Vladislavleva_3", "x,y", "x: E[0.05,10,0.1]  y: E[0.05,10.05,2]", "e^-y * x^3 * (cos(x)*sin(x)) * (cos(x)*(sin(x))^2-1)"},
+	// // Benchmark{"Vladislavleva_4", "x_i", " U[0.05, 6.05, 1024]", "10 / (5 + \\SUM_1^5 (x_i - 3)^2)"},
+	// Benchmark{"Vladislavleva_5", "x,y,z", "x,z: U[0.05,2,300]  y: U[1,2,300]", "(30*(x-1)*(z-1)) / (y^2*(x-10))  "},
+	// Benchmark{"Vladislavleva_6", "x,y", "U[0.1,5.9,30]", "6*sin(x)*cos(y)"},
+	// Benchmark{"Vladislavleva_7", "x,y", "U[0.05,6.05,300]", "(x-3)*(y-3) + 2sin((x-4)*(y-4))"},
+	// Benchmark{"Vladislavleva_8", "x,y", "U[0.05,6.05,50]", "((x-3)^4 + (y-3)^3 - (y-3)) / ((y-2)^4 + 10)"},
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/problems/data.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/problems/data.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/problems/data.go	(revision 16620)
@@ -0,0 +1,555 @@
+package problems
+
+import (
+	"bufio"
+	"bytes"
+	"fmt"
+	"math"
+	"math/rand"
+	"os"
+	"C"
+	"unsafe"
+)
+
+type Point struct {
+	indep []float64
+	depnd []float64
+}
+
+func (d *Point) NumIndep() int             { return len(d.indep) }
+func (d *Point) SetNumIndep(sz int)        { d.indep = make([]float64, sz) }
+func (d *Point) Indep(p int) float64       { return d.indep[p] }
+func (d *Point) SetIndep(p int, v float64) { d.indep[p] = v }
+func (d *Point) Indeps() []float64         { return d.indep }
+func (d *Point) SetIndeps(v []float64)     { d.indep = v }
+func (d *Point) NumDepnd() int             { return len(d.depnd) }
+func (d *Point) SetNumDepnd(sz int)        { d.depnd = make([]float64, sz) }
+func (d *Point) Depnd(p int) float64       { return d.depnd[p] }
+func (d *Point) SetDepnd(p int, v float64) { d.depnd[p] = v }
+func (d *Point) Depnds() []float64         { return d.depnd }
+func (d *Point) SetDepnds(v []float64)     { d.depnd = v }
+
+type PointSet struct {
+	filename string
+	id       int
+
+	numDim     int
+	indepNames []string
+	depndNames []string
+	sysNames   []string
+
+	dataPoints []Point
+	sysVals    []float64
+}
+
+func (d *PointSet) FN() string           { return d.filename }
+func (d *PointSet) SetFN(fn string)      { d.filename = fn }
+func (d *PointSet) ID() int              { return d.id }
+func (d *PointSet) SetID(id int)         { d.id = id }
+func (d *PointSet) SetNumPoints(cnt int) { d.dataPoints = make([]Point, cnt) }
+
+func (d *PointSet) NumIndep() int     { return len(d.indepNames) }
+func (d *PointSet) NumDepnd() int     { return len(d.depndNames) }
+func (d *PointSet) NumDim() int       { return d.numDim } // TODO check to see if TIME is a variable
+func (d *PointSet) SetNumDim(dim int) { d.numDim = dim }  // TODO check to see if TIME is a variable
+func (d *PointSet) NumSys() int       { return len(d.sysNames) }
+func (d *PointSet) NumPoints() int    { return len(d.dataPoints) }
+
+func (d *PointSet) IndepName(xi int) string      { return d.indepNames[xi] }
+func (d *PointSet) GetIndepNames() []string      { return d.indepNames }
+func (d *PointSet) SetIndepNames(names []string) { d.indepNames = names }
+func (d *PointSet) DepndName(xi int) string      { return d.depndNames[xi] }
+func (d *PointSet) GetDepndNames() []string      { return d.depndNames }
+func (d *PointSet) SetDepndNames(names []string) { d.depndNames = names }
+
+func (d *PointSet) SysName(si int) string      { return d.sysNames[si] }
+func (d *PointSet) GetSysNames() []string      { return d.sysNames }
+func (d *PointSet) SetSysNames(names []string) { d.sysNames = names }
+func (d *PointSet) SetSysVals(sv []float64)    { d.sysVals = sv }
+
+func (d *PointSet) Point(p int) *Point    { return &(d.dataPoints[p]) }
+func (d *PointSet) Points() []Point       { return d.dataPoints }
+func (d *PointSet) SetPoints(pts []Point) { d.dataPoints = pts }
+func (d *PointSet) SysVal(p int) float64  { return d.sysVals[p] }
+func (d *PointSet) SysVals() []float64    { return d.sysVals }
+
+// read function at end of file  [ func (d *PointSet) Read(filename string) ]
+
+type PntSubset struct {
+	ds *PointSet
+
+	index   []int
+	input   []Point
+	output  []Point
+	sysVals []float64
+}
+
+func (s *PntSubset) ID() int            { return s.ds.id }
+func (s *PntSubset) DS() *PointSet      { return s.ds }
+func (s *PntSubset) SetDS(ds *PointSet) { s.ds = ds }
+
+func (s *PntSubset) NumIndep() int  { return s.ds.NumIndep() }
+func (s *PntSubset) NumDepnd() int  { return s.ds.NumDepnd() }
+func (s *PntSubset) NumSys() int    { return s.ds.NumSys() }
+func (s *PntSubset) NumPoints() int { return len(s.index) }
+
+func (s *PntSubset) SysVals() []float64        { return s.sysVals }
+func (s *PntSubset) SetSysVals(svls []float64) { s.sysVals = svls }
+
+func (s *PntSubset) Index(p int) int       { return s.index[p] }
+func (s *PntSubset) Indexes() []int        { return s.index }
+func (s *PntSubset) SetIndexes(idxs []int) { s.index = idxs }
+func (s *PntSubset) Input(p int) *Point    { return &s.input[p] }
+func (s *PntSubset) Output(p int) *Point   { return &s.output[p] }
+
+func (s *PntSubset) AddPoint(p int, input, output *Point) {
+	s.index = append(s.index, p)
+	s.input = append(s.input, *input)
+	s.output = append(s.output, *output)
+}
+
+// using indexes, update the input/output data
+func (s *PntSubset) Refresh() {
+	L := len(s.index)
+	if s.input == nil {
+		s.input = make([]Point, L)
+	}
+	if s.output == nil {
+		s.output = make([]Point, L)
+	}
+
+	for i := 0; i < L; i++ {
+		s.input[i] = *s.ds.Point(s.index[i])
+		if s.index[i]+1 >= s.ds.NumPoints() {
+			continue
+		}
+		s.output[i] = *s.ds.Point(s.index[i] + 1)
+	}
+}
+
+func (trainData *PointSet) InitTrainDataF(indepNames []string, depndNames []string, matrix unsafe.Pointer, nEntries int) {
+	trainData.ReadPointSet("C:/Users/Hansi/Desktop/Data.trn")
+}
+
+func (trainData *PointSet) InitTestDataF(indepNames []string, depndNames []string, matrix unsafe.Pointer, nEntries int) {
+	trainData.ReadPointSet("C:/Users/Hansi/Desktop/Data.tst")
+}
+
+func (trainData *PointSet) InitTrainData(indepNames []string, depndNames []string, matrix unsafe.Pointer, nEntries int) {
+	trainData.indepNames = indepNames  //First line in .trn file
+	trainData.numDim = len(trainData.indepNames)
+	trainData.depndNames = depndNames //Second line in .trn file
+	
+	fmt.Printf("Var Names = %v | %v\n", trainData.depndNames, trainData.indepNames)
+	var nClum int = len(indepNames) + len(depndNames)
+
+	for i := 0; i < nEntries; i++ {
+		var pnt Point 
+		for j := 0; j < len(trainData.indepNames); j++ {
+			elemNr := i * nClum + j
+			item := (*float64) (unsafe.Pointer( uintptr(unsafe.Pointer(matrix)) + unsafe.Sizeof(float64(0)) * uintptr(elemNr) ))
+			pnt.indep = append(pnt.indep, *item)
+			
+			if os.Getenv("PGEDEBUG") == "1" {
+				fmt.Printf("Adding independend Test/Train Data (%v,%v): %v\n", i, j, *item)
+			}
+		}
+
+		for j := len(trainData.indepNames); j < (len(trainData.indepNames) + len(trainData.depndNames)); j++ {
+			elemNr := i * nClum + j
+			item := (*float64) (unsafe.Pointer( uintptr(unsafe.Pointer(matrix)) + unsafe.Sizeof(float64(0)) * uintptr(elemNr) ))
+			pnt.depnd = append(pnt.depnd, *item )
+			
+			if os.Getenv("PGEDEBUG") == "1" {
+				fmt.Printf("Adding dependend (right side) Test/Train Data (%v, %v): %v\n", i, j, *item)
+			}
+		}
+
+		if len(pnt.indep) > 0 {
+			trainData.dataPoints = append(trainData.dataPoints, pnt)
+		}
+	}
+	fmt.Printf("Num Points: %v\n", len(trainData.dataPoints))
+	
+	//if os.Getenv("PGEDEBUG") == "2" {
+	//	DebugPrint(trainData)
+	//}
+}
+
+//func (trainData *PointSet) DebugPrint() {
+//	for index, elem in range 
+//}
+
+func (d *PointSet) ReadPointSet(filename string) {
+	ftotal, err := os.OpenFile(filename, os.O_RDONLY, 0)
+	if err != nil {
+		fmt.Printf("err: %v\n", err)
+		return
+	}
+	defer ftotal.Close()
+	file := bufio.NewReader(ftotal)
+
+	var word string
+
+	// get independent variables (x_i...)
+	for i := 0; ; i++ {
+		_, err := fmt.Fscanf(file, "%s", &word)
+		if err != nil {
+			break
+		}
+		d.indepNames = append(d.indepNames, word)
+	}
+	d.numDim = len(d.indepNames)
+
+	// get dependent variables (y_j...)
+	for i := 0; ; i++ {
+		_, err := fmt.Fscanf(file, "%s", &word)
+		if err != nil {
+			break
+		}
+		d.depndNames = append(d.depndNames, word)
+	}
+
+	fmt.Printf("Var Names = %v | %v\n", d.depndNames, d.indepNames)
+
+	for i := 0; ; i++ {
+		var pnt Point
+		var dval, ival float64
+		if err != nil {
+			break
+		}
+
+		for j := 0; j < len(d.indepNames); j++ {
+			_, err = fmt.Fscanf(file, "%f", &ival)
+			if err != nil {
+				break
+			}
+			pnt.indep = append(pnt.indep, ival)
+		}
+
+		for j := 0; j < len(d.depndNames); j++ {
+			_, err = fmt.Fscanf(file, "%f\n", &dval)
+			if err != nil {
+				break
+			}
+			pnt.depnd = append(pnt.depnd, dval)
+		}
+
+		if len(pnt.indep) > 0 {
+			d.dataPoints = append(d.dataPoints, pnt)
+		}
+		if i%100 == 0 {
+			fmt.Println("Point(%d): %v\n", i, pnt)
+		}
+	}
+	fmt.Printf("Num Points: %v\n", len(d.dataPoints))
+}
+
+func ReadBytesPointSet(ftotal []byte) (d *PointSet) {
+	d = new(PointSet)
+	// ftotal, err := os.OpenFile(filename, os.O_RDONLY, 0)
+	// if err != nil {
+	// 	fmt.Printf("err: %v\n", err)
+	// 	return
+	// }
+	// defer ftotal.Close()
+	var err error
+	file := bytes.NewReader(ftotal)
+
+	var word string
+
+	// get independent variables (x_i...)
+	for i := 0; ; i++ {
+		_, err := fmt.Fscanf(file, "%s", &word)
+		if err != nil {
+			break
+		}
+		d.indepNames = append(d.indepNames, word)
+	}
+	d.numDim = len(d.indepNames)
+
+	// get dependent variables (y_j...)
+	for i := 0; ; i++ {
+		_, err := fmt.Fscanf(file, "%s", &word)
+		if err != nil {
+			break
+		}
+		d.depndNames = append(d.depndNames, word)
+	}
+
+	fmt.Printf("Var Names = %v | %v\n", d.depndNames, d.indepNames)
+
+	for i := 0; ; i++ {
+		var pnt Point
+		var dval, ival float64
+		if err != nil {
+			break
+		}
+
+		for j := 0; j < len(d.indepNames); j++ {
+			_, err = fmt.Fscanf(file, "%f", &ival)
+			if err != nil {
+				break
+			}
+			pnt.indep = append(pnt.indep, ival)
+		}
+
+		for j := 0; j < len(d.depndNames); j++ {
+			_, err = fmt.Fscanf(file, "%f\n", &dval)
+			if err != nil {
+				break
+			}
+			pnt.depnd = append(pnt.depnd, dval)
+		}
+
+		if len(pnt.indep) > 0 {
+			d.dataPoints = append(d.dataPoints, pnt)
+		}
+		if i%100 == 0 {
+			fmt.Println("Point(%d): %v\n", i, pnt)
+		}
+	}
+	fmt.Printf("Num Points: %v\n", len(d.dataPoints))
+	return d
+}
+
+func (d *PointSet) WritePointSet(filename string) {
+	fmt.Printf("Writing file: %s\n", filename)
+	ftotal, err := os.Create(filename)
+	if err != nil {
+		fmt.Printf("Error creating file: %s  %v\n", filename, err)
+		return
+	}
+	defer ftotal.Close()
+	file := bufio.NewWriter(ftotal)
+	defer file.Flush()
+
+	// write independent variable names (x_i...)
+	for i := 0; i < d.NumIndep(); i++ {
+		if err != nil {
+			fmt.Errorf("error writing pointset to file: %v\n", err)
+			break
+		}
+	}
+	fmt.Fprintln(file)
+
+	// trite dependent variable names (y_j...)
+	for i := 0; i < d.NumDepnd(); i++ {
+		if err != nil {
+			break
+		}
+	}
+	fmt.Fprintln(file)
+
+	// write points 
+	points := d.Points()
+	for i := 0; i < d.NumPoints(); i++ {
+		indep := points[i].Indeps()
+		depnd := points[i].Depnds()
+		for j := 0; j < len(indep); j++ {
+			if err != nil {
+				break
+			}
+		}
+		for j := 0; j < len(depnd); j++ {
+			if err != nil {
+				break
+			}
+		}
+		fmt.Fprintln(file)
+	}
+}
+
+func SplitPointSetTrainTest(pnts *PointSet, pcnt_train float64, seed int) (train, test *PointSet) {
+
+	train = new(PointSet)
+	test = new(PointSet)
+
+	train.filename, test.filename = pnts.filename, pnts.filename
+	train.id, test.id = pnts.id, pnts.id
+	train.indepNames, test.indepNames = pnts.indepNames, pnts.indepNames
+	train.depndNames, test.depndNames = pnts.depndNames, pnts.depndNames
+	train.sysNames, test.sysNames = pnts.sysNames, pnts.sysNames
+	train.sysVals, test.sysVals = pnts.sysVals, pnts.sysVals
+
+	L := len(pnts.dataPoints)
+	Tst := int(float64(L) * (1.0 - pcnt_train))
+
+	tmp := make([]Point, L)
+	copy(tmp, pnts.dataPoints)
+
+	rand.Seed(int64(seed))
+
+	for i := 0; i < Tst; i++ {
+		p := rand.Intn(L - i)
+		tmp[i], tmp[p] = tmp[p], tmp[i]
+	}
+
+	test.dataPoints = tmp[:Tst]
+	train.dataPoints = tmp[Tst:]
+
+	return
+}
+
+func (d *PointSet) ReadLakeFile(filename string) {
+	ftotal, err := os.OpenFile(filename, os.O_RDONLY, 0)
+	if err != nil {
+		fmt.Printf("err: %v\n", err)
+		return
+	}
+	defer ftotal.Close()
+	file := bufio.NewReader(ftotal)
+
+	var word string
+
+	// get independent variables (x_i...)
+	for i := 0; ; i++ {
+		_, err := fmt.Fscanf(file, "%s", &word)
+		if err != nil {
+			break
+		}
+		d.indepNames = append(d.indepNames, word)
+	}
+	d.numDim = len(d.indepNames)
+
+	// // get dependent variables (y_j...)
+	// for i := 0; ; i++ {
+	// 	_, err := fmt.Fscanf(file, "%s", &word)
+	// 	if err != nil {
+	// 		break
+	// 	}
+	// 	d.depndNames = append(d.depndNames, word)
+	// }
+
+	// remove time names from indepNames
+	d.indepNames = d.indepNames[2:]
+
+	// fmt.Printf("Var Names = %v | %v\n", d.depndNames, d.indepNames)
+
+	for i := 0; ; i++ {
+		var pnt Point
+		var ival float64
+		if err != nil {
+			break
+		}
+
+		// read time values and disgaurd
+		var dummy string
+		for j := 0; j < 2; j++ {
+			_, err = fmt.Fscanf(file, "%s", &dummy)
+			// fmt.Println(i, dummy)
+			if err != nil {
+				// fmt.Println("err:", err)
+				break
+			}
+		}
+
+		// append dummy time value
+		pnt.indep = append(pnt.indep, -0.1)
+
+		// read real data
+		for j := 0; j < len(d.indepNames); j++ {
+			_, err = fmt.Fscanf(file, "%f\n", &ival)
+			if err != nil {
+				// fmt.Println("err:", err)
+				break
+			}
+			// hack for PAR
+			// if j == 1 {
+			// 	ival /= 2000.0 * (math.Pi / 2.0)
+			// }
+
+			pnt.indep = append(pnt.indep, ival)
+		}
+
+		// fmt.Println(i, pnt)
+
+		// for j := 0; j < len(d.depndNames); j++ {
+		// 	_, err = fmt.Fscanf(file, "%f\n", &dval)
+		// 	if err != nil {
+		// 		break
+		// 	}
+		// 	pnt.depnd = append(pnt.depnd, dval)
+		// }
+
+		if len(pnt.indep) > 1 {
+			for p := 0; p < len(pnt.indep); p++ {
+				if math.IsNaN(pnt.indep[p]) {
+					// fmt.Println("NaN @ ", i, p)
+					goto skip
+				}
+			}
+			d.dataPoints = append(d.dataPoints, pnt)
+		}
+	skip:
+	}
+
+	// calculate numerical derivatives
+	calcDerivs(d.dataPoints)
+
+	for i := 0; i < len(d.dataPoints); i++ {
+		p := d.dataPoints[i]
+		if len(p.Indeps()) == 0 || len(p.Depnds()) == 0 {
+			fmt.Println("Bad Point @", i)
+		}
+		// if i%100 == 0 {
+		// 	fmt.Printf("Point(%d): %v\n", i, d.dataPoints[i])
+		// }
+	}
+
+	// fmt.Printf("Num Points: %v\n", len(d.dataPoints))
+}
+
+/* Calculate the first derivative of four points with: h = 0.25
+ * (from: http://www.trentfguidry.net/post/2010/09/04/Numerical-differentiation-formulas.aspx)
+ *
+ * xF0 = ( -3.0*xF4 + 16.0*xF3 - 36.0*xF2 + 48.0*xF1 - 25.0*xF0) / (12.0*h)
+ * xF1 = (      xF4 -  6.0-xF3 + 18.0*xF2 - 10.0*xF1 -  3.0*xF0) / (12.0*h)
+ * xF2 = (     -xF4 +  8.0*xF3           -   8.0*xF1 +      xF0) / (12.0*h)
+ * xF3 = (  3.0*xF4 + 10.0*xF3 - 18.0*xF2 +  6.0*xF1 -      xF0) / (12.0*h)
+ * xF4 = ( 25.0*xF4 - 48.0*xF3 + 36.0*xF2 - 16.0*xF1 +  3.0*xF0) / (12.0*h)
+ */
+func calcDerivs(pts []Point) {
+	h := 24.0 // / (24.0 * 60.0)
+
+	NP := len(pts)
+	ND := pts[0].NumIndep()
+
+	// for summing and averaging on a point/variable~wise basis
+	cnts := make([][]int, NP)
+	vals := make([][]float64, NP)
+	for p := 0; p < NP; p++ {
+		cnts[p] = make([]int, ND)
+		vals[p] = make([]float64, ND)
+	}
+
+	for p := 0; p < NP-5; p++ {
+		for i := 0; i < ND; i++ {
+			var F [5]float64
+			var dF [5]float64
+
+			for j := 0; j < 5; j++ {
+				F[j] = pts[p+j].Indep(i)
+			}
+			dF[0] = (-3.0*F[4] + 16.0*F[3] - 36.0*F[2] + 48.0*F[1] - 25.0*F[0]) / (12.0 * h)
+			dF[1] = (F[4] - 6.0 - F[3] + 18.0*F[2] - 10.0*F[1] - 3.0*F[0]) / (12.0 * h)
+			dF[2] = (-F[4] + 8.0*F[3] - 8.0*F[1] + F[0]) / (12.0 * h)
+			dF[3] = (3.0*F[4] + 10.0*F[3] - 18.0*F[2] + 6.0*F[1] - F[0]) / (12.0 * h)
+			dF[4] = (25.0*F[4] - 48.0*F[3] + 36.0*F[2] - 16.0*F[1] + 3.0*F[0]) / (12.0 * h)
+
+			for j := 0; j < 5; j++ {
+
+				vals[p+j][i] += dF[j]
+				cnts[p+j][i]++
+			}
+		}
+	}
+
+	for p := 0; p < NP; p++ {
+		depnds := make([]float64, ND)
+		for i := 0; i < ND; i++ {
+			depnds[i] = vals[p][i] / float64(cnts[p][i])
+		}
+		pts[p].SetDepnds(depnds)
+	}
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/problems/problem.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/problems/problem.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/problems/problem.go	(revision 16620)
@@ -0,0 +1,174 @@
+package problems
+
+import (
+	"sort"
+	"strconv"
+	"strings"
+
+	expr "go-symexpr"
+)
+
+type ExprProblemType int
+
+const (
+	UnknownPType ExprProblemType = iota
+	ExprBenchmark
+	ExprDiffeq
+	ExprRealData
+)
+
+func (ept ExprProblemType) String() string {
+	switch ept {
+	case ExprBenchmark:
+		return "benchmark"
+	case ExprDiffeq:
+		return "diffeq"
+	case ExprRealData:
+		return "real"
+	default:
+		return "UnknownPType"
+	}
+	return ""
+}
+
+func ProblemTypeFromString(ptype string) ExprProblemType {
+	switch ptype {
+	case "benchmark":
+		return ExprBenchmark
+	case "diffeq":
+		return ExprDiffeq
+	case "real":
+		return ExprRealData
+	default:
+		return UnknownPType
+	}
+	return UnknownPType
+}
+
+type ExprProblem struct {
+	Name     string
+	VarNames []string
+	FuncTree expr.Expr // function as tree
+	MaxIter  int
+
+	// type of evaluation / data
+	SearchType ExprProblemType
+
+	// data
+	TrainFns []string
+	TestFns  []string
+	Train    []*PointSet
+	Test     []*PointSet
+	HitRatio float64
+
+	// variable information
+	SearchVar  int
+	UsableVars []int
+	IndepNames []string
+	DepndNames []string
+	SysNames   []string
+
+	// tree gen/restrict information
+	TreeCfg *TreeParams
+}
+
+type ExprProblemComm struct {
+	// incoming channels
+	Cmds chan int
+
+	// outgoing channels
+	Rpts chan *ExprReportArray
+	Res chan *ExprReportArray
+	Gen  chan [2]int
+}
+
+func ProbConfigParser(field, value string, config interface{}) (err error) {
+
+	EP := config.(*ExprProblem)
+	if EP.TreeCfg == nil {
+		EP.TreeCfg = new(TreeParams)
+	}
+
+	switch strings.ToUpper(field) {
+	case "NAME":
+		EP.Name = value
+	case "PROBLEMTYPE":
+		typ := ProblemTypeFromString(strings.ToLower(value))
+		if typ == UnknownPType {
+		} else {
+			EP.SearchType = typ
+		}
+	case "MAXITER":
+		EP.MaxIter, err = strconv.Atoi(value)
+
+	case "HITRATIO":
+		fval, cerr := strconv.ParseFloat(value, 64)
+		if cerr != nil {
+			return cerr
+		}
+		EP.HitRatio = fval
+
+	case "TRAINDATA":
+		EP.TrainFns = strings.Fields(value)
+	case "TESTDATA":
+		EP.TestFns = strings.Fields(value)
+
+	case "USABLEVARS":
+		usable := strings.Fields(value)
+		for _, v := range usable {
+			ival, cerr := strconv.Atoi(v)
+			if cerr != nil {
+				return cerr
+			}
+			EP.UsableVars = append(EP.UsableVars, ival)
+		}
+		EP.UsableVars = unique(EP.UsableVars)
+		EP.TreeCfg.UsableVars = EP.UsableVars[:]
+		EP.TreeCfg.UsableVars = unique(EP.TreeCfg.UsableVars)
+
+	case "SEARCHVAR":
+		ival, cerr := strconv.Atoi(value)
+		if cerr != nil {
+			return cerr
+		}
+		EP.SearchVar = ival
+
+	default:
+		// check augillary parsable structures [only TreeParams for now]
+		found, ferr := ParseTreeParams(field, value, EP.TreeCfg)
+		if ferr != nil {
+			return ferr
+		}
+		if !found {
+		}
+
+	}
+	return
+}
+
+func unique(list []int) []int {
+	sort.Ints(list)
+	var last int
+	i := 0
+	for _, x := range list {
+		if i == 0 || x != last {
+			last = x
+			list[i] = x
+			i++
+		}
+	}
+	return list[0:i]
+}
+
+
+func (ep *ExprProblem) CreatePS(Name string, MaxIter int, HitRatio float64, SearchVar int, ProblemTypeString string) {	//IndepNames []string, DepndNames []string, SysNames []string
+	ep.SearchType = ProblemTypeFromString(ProblemTypeString)
+	ep.Name = Name
+	
+	ep.TrainFns = append(ep.TrainFns, "dummy")
+	ep.TestFns = append(ep.TestFns, "dummy")
+		
+	ep.MaxIter = MaxIter
+	ep.HitRatio = HitRatio
+	ep.SearchVar = SearchVar
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/problems/report.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/problems/report.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/problems/report.go	(revision 16620)
@@ -0,0 +1,1614 @@
+package problems
+
+import (
+	"container/list"
+	"fmt"
+	expr "go-symexpr"
+	"sort"
+)
+
+var MAX_BBQ_SIZE = 1 << 20
+
+type SortType int
+
+const (
+	SORT_NULL SortType = iota
+
+	GPSORT_SIZE
+
+	GPSORT_PRE_HIT
+	GPSORT_TRN_HIT
+	GPSORT_TST_HIT
+	GPSORT_PRE_ERR
+	GPSORT_TRN_ERR
+	GPSORT_TST_ERR
+
+	GPSORT_SIZE_PRE_HIT
+	GPSORT_SIZE_TRN_HIT
+	GPSORT_SIZE_TST_HIT
+	GPSORT_SIZE_PRE_ERR
+	GPSORT_SIZE_TRN_ERR
+	GPSORT_SIZE_TST_ERR
+
+	GPSORT_PRE_HIT_SIZE
+	GPSORT_TRN_HIT_SIZE
+	GPSORT_TST_HIT_SIZE
+	GPSORT_PRE_ERR_SIZE
+	GPSORT_TRN_ERR_SIZE
+	GPSORT_TST_ERR_SIZE
+
+	GPSORT_PARETO_PRE_ERR
+	GPSORT_PARETO_TRN_ERR
+	GPSORT_PARETO_TST_ERR
+	GPSORT_PARETO_PRE_HIT
+	GPSORT_PARETO_TRN_HIT
+	GPSORT_PARETO_TST_HIT
+
+	PESORT_SIZE
+
+	PESORT_PRE_HIT
+	PESORT_TRN_HIT
+	PESORT_TST_HIT
+	PESORT_PRE_ERR
+	PESORT_TRN_ERR
+	PESORT_TST_ERR
+
+	PESORT_SIZE_PRE_HIT
+	PESORT_SIZE_TRN_HIT
+	PESORT_SIZE_TST_HIT
+	PESORT_SIZE_PRE_ERR
+	PESORT_SIZE_TRN_ERR
+	PESORT_SIZE_TST_ERR
+
+	PESORT_PRE_HIT_SIZE
+	PESORT_TRN_HIT_SIZE
+	PESORT_TST_HIT_SIZE
+	PESORT_PRE_ERR_SIZE
+	PESORT_TRN_ERR_SIZE
+	PESORT_TST_ERR_SIZE
+
+	PESORT_PARETO_PRE_ERR
+	PESORT_PARETO_TRN_ERR
+	PESORT_PARETO_TST_ERR
+	PESORT_PARETO_PRE_HIT
+	PESORT_PARETO_TRN_HIT
+	PESORT_PARETO_TST_HIT
+)
+
+type ExprReport struct {
+	expr  expr.Expr
+	coeff []float64
+
+	// metrics
+	size                             int
+	predError, trainError, testError float64
+	predScore, trainScore, testScore int
+
+	// per data set metrics, if multiple data sets used
+	predErrz  []float64
+	predHitz  []int
+	trainErrz []float64
+	trainHitz []int
+	testErrz  []float64
+	testHitz  []int
+
+	// ids
+	uniqID int // unique ID among all exprs ?
+	procID int // ID of the search process
+	iterID int // iteration of the search
+	unitID int // ID with respect to the search
+	index  int // used internally in containers
+
+	// production information
+	// p1,p2 int  // parent IDs
+	// method int // method that produced this expression
+}
+
+func (r *ExprReport) Size() int {
+	if r.size == 0 {
+		r.size = r.expr.Size()
+	}
+	return r.size
+}
+
+func (r *ExprReport) Clone() *ExprReport {
+	ret := new(ExprReport)
+	ret.expr = r.expr.Clone()
+	ret.expr.CalcExprStats()
+	ret.coeff = make([]float64, len(r.coeff))
+	copy(ret.coeff, r.coeff)
+
+	ret.predError = r.predError
+	ret.trainError = r.trainError
+	ret.testError = r.testError
+	ret.predScore = r.predScore
+	ret.trainScore = r.trainScore
+	ret.testScore = r.testScore
+
+	ret.predErrz = make([]float64, len(r.predErrz))
+	copy(ret.predErrz, r.predErrz)
+	ret.predHitz = make([]int, len(r.predHitz))
+	copy(ret.predHitz, r.predHitz)
+	ret.trainErrz = make([]float64, len(r.trainErrz))
+	copy(ret.trainErrz, r.trainErrz)
+	ret.trainHitz = make([]int, len(r.trainHitz))
+	copy(ret.trainHitz, r.trainHitz)
+	ret.testErrz = make([]float64, len(r.testErrz))
+	copy(ret.testErrz, r.testErrz)
+	ret.testHitz = make([]int, len(r.testHitz))
+	copy(ret.testHitz, r.testHitz)
+
+	ret.uniqID = r.uniqID
+	ret.procID = r.procID
+	ret.iterID = r.iterID
+	ret.unitID = r.unitID
+
+	return ret
+}
+
+var reportFormatString = `%v
+coeff: %v
+size: %4d   depth: %4d   
+uId:  %4d   pId:   %4d
+iId:  %4d   tId:   %4d
+
+train NaNs: %4d
+train L1:   %f
+
+test  NaNs: %4d
+test Evals: %4d   
+test  L1:   %f
+test  L2:   %f
+`
+
+func (r *ExprReport) String() string {
+
+	return fmt.Sprintf(reportFormatString,
+		r.expr, r.Coeff(),
+		r.expr.Size(), r.expr.Height(),
+		r.uniqID, r.procID, r.iterID, r.unitID,
+		r.trainScore, r.trainError,
+		r.predScore, r.testScore, r.testError, r.predError)
+}
+func (r *ExprReport) Latex(dnames, snames []string, cvals []float64) string {
+
+	return fmt.Sprintf(reportFormatString,
+		r.expr.PrettyPrint(dnames, snames, cvals), r.Coeff(),
+		r.expr.Size(), r.expr.Height(),
+		r.uniqID, r.procID, r.iterID, r.unitID,
+		r.trainScore, r.testScore, r.trainError, r.testError, r.predError)
+}
+
+func (r *ExprReport) Expr() expr.Expr     { return r.expr }
+func (r *ExprReport) SetExpr(e expr.Expr) { r.expr = e }
+
+func (r *ExprReport) Coeff() []float64     { return r.coeff }
+func (r *ExprReport) SetCoeff(c []float64) { r.coeff = c }
+
+func (r *ExprReport) PredScore() int     { return r.predScore }
+func (r *ExprReport) SetPredScore(s int) { r.predScore = s }
+
+func (r *ExprReport) PredError() float64     { return r.predError }
+func (r *ExprReport) SetPredError(e float64) { r.predError = e }
+
+func (r *ExprReport) TrainScore() int     { return r.trainScore }
+func (r *ExprReport) SetTrainScore(s int) { r.trainScore = s }
+
+func (r *ExprReport) TrainError() float64     { return r.trainError }
+func (r *ExprReport) SetTrainError(e float64) { r.trainError = e }
+
+func (r *ExprReport) TestScore() int     { return r.testScore }
+func (r *ExprReport) SetTestScore(s int) { r.testScore = s }
+
+func (r *ExprReport) TestError() float64     { return r.testError }
+func (r *ExprReport) SetTestError(e float64) { r.testError = e }
+
+func (r *ExprReport) PredScoreZ() []int     { return r.predHitz }
+func (r *ExprReport) SetPredScoreZ(s []int) { r.predHitz = s }
+
+func (r *ExprReport) PredErrorZ() []float64     { return r.predErrz }
+func (r *ExprReport) SetPredErrorZ(e []float64) { r.predErrz = e }
+
+func (r *ExprReport) TrainScoreZ() []int     { return r.trainHitz }
+func (r *ExprReport) SetTrainScoreZ(s []int) { r.trainHitz = s }
+
+func (r *ExprReport) TrainErrorZ() []float64     { return r.trainErrz }
+func (r *ExprReport) SetTrainErrorZ(e []float64) { r.trainErrz = e }
+
+func (r *ExprReport) TestScoreZ() []int     { return r.testHitz }
+func (r *ExprReport) SetTestScoreZ(s []int) { r.testHitz = s }
+
+func (r *ExprReport) TestErrorZ() []float64     { return r.testErrz }
+func (r *ExprReport) SetTestErrorZ(e []float64) { r.testErrz = e }
+
+func (r *ExprReport) UniqID() int     { return r.uniqID }
+func (r *ExprReport) SetUniqID(i int) { r.uniqID = i }
+
+func (r *ExprReport) ProcID() int     { return r.procID }
+func (r *ExprReport) SetProcID(i int) { r.procID = i }
+
+func (r *ExprReport) IterID() int     { return r.iterID }
+func (r *ExprReport) SetIterID(i int) { r.iterID = i }
+
+func (r *ExprReport) UnitID() int     { return r.unitID }
+func (r *ExprReport) SetUnitID(i int) { r.unitID = i }
+
+// Array of ExprReports
+type ExprReportArray []*ExprReport
+
+func (p ExprReportArray) Len() int      { return len(p) }
+func (p ExprReportArray) Swap(i, j int) { p[i], p[j] = p[j], p[i] }
+func (p ExprReportArray) Less(i, j int) bool {
+	if p[i] == nil || p[i].expr == nil {
+		return false
+	}
+	if p[j] == nil || p[j].expr == nil {
+		return true
+	}
+	return p[i].expr.AmILess(p[j].expr)
+}
+
+type ExprReportArrayPredError struct {
+	Array ExprReportArray
+}
+
+func (p ExprReportArrayPredError) Len() int      { return len(p.Array) }
+func (p ExprReportArrayPredError) Swap(i, j int) { p.Array[i], p.Array[j] = p.Array[j], p.Array[i] }
+func (p ExprReportArrayPredError) Less(i, j int) bool {
+	if p.Array[i] == nil || p.Array[i].expr == nil {
+		return false
+	}
+	if p.Array[j] == nil || p.Array[j].expr == nil {
+		return true
+	}
+	return p.Array[i].predError < p.Array[j].predError
+}
+
+type ReportListNode struct {
+	Rpt      *ExprReport
+	prv, nxt *ReportListNode
+}
+
+func (self *ReportListNode) Next() *ReportListNode {
+	return self.nxt
+}
+func (self *ReportListNode) Prev() *ReportListNode {
+	return self.prv
+}
+
+type ReportList struct {
+	length int
+	Head   *ReportListNode
+	Tail   *ReportListNode
+}
+
+func (self *ReportList) Len() int {
+	return self.length
+}
+
+func (self *ReportList) Front() (node *ReportListNode) {
+	return self.Head
+}
+func (self *ReportList) Back() (node *ReportListNode) {
+	return self.Tail
+}
+
+func (self *ReportList) PushFront(rpt *ExprReport) {
+	tmp := new(ReportListNode)
+	tmp.Rpt = rpt
+	tmp.nxt = self.Head
+	if self.Head != nil {
+		self.Head.prv = tmp
+	}
+	self.Head = tmp
+	if self.Tail == nil {
+		self.Tail = tmp
+	}
+	self.length++
+}
+func (self *ReportList) PushBack(rpt *ExprReport) {
+	tmp := new(ReportListNode)
+	tmp.Rpt = rpt
+	tmp.prv = self.Tail
+	if self.Tail != nil {
+		self.Tail.nxt = tmp
+	}
+	self.Tail = tmp
+	if self.Head == nil {
+		self.Head = tmp
+	}
+	self.length++
+}
+func (self *ReportList) Remove(node *ReportListNode) {
+	if node.prv != nil {
+		node.prv.nxt = node.nxt
+	} else {
+		self.Head = node.nxt
+	}
+	if node.nxt != nil {
+		node.nxt.prv = node.prv
+	} else {
+		self.Tail = node.prv
+	}
+	node.prv = nil
+	node.nxt = nil
+	self.length--
+}
+
+// Enhanced ExprReport Array with variable sorting methods
+// NOTE!!!  the storage is reverse order
+type ReportQueue struct {
+	queue      []*ExprReport
+	less       func(i, j *ExprReport) bool
+	sortmethod SortType
+}
+
+func NewQueueFromArray(era ExprReportArray) *ReportQueue {
+	Q := new(ReportQueue)
+	Q.queue = era
+	return Q
+}
+
+func NewReportQueue() *ReportQueue {
+	B := new(ReportQueue)
+	B.queue = make([]*ExprReport, 0, MAX_BBQ_SIZE)
+	return B
+}
+
+func (bb ReportQueue) Len() int { return len(bb.queue) }
+func (bb ReportQueue) Less(i, j int) bool {
+	if bb.queue[i] == nil {
+		return false
+	}
+	if bb.queue[j] == nil {
+		return true
+	}
+	return bb.less(bb.queue[i], bb.queue[j])
+}
+func (bb ReportQueue) Swap(i, j int) {
+	bb.queue[i], bb.queue[j] = bb.queue[j], bb.queue[i]
+	if bb.queue[i] != nil {
+		bb.queue[i].index = i
+	}
+	if bb.queue[j] != nil {
+		bb.queue[j].index = j
+	}
+}
+func (bb *ReportQueue) Push(x interface{}) {
+	// Push and Pop use pointer receivers because they modify the slice's length,
+	// not just its contents.
+	// To simplify indexing expressions in these methods, we save a copy of the
+	// slice object. We could instead write (*pq)[i].
+	if len(bb.queue) == cap(bb.queue) {
+		B := make([]*ExprReport, 0, len(bb.queue)*2)
+		copy(B[:len(bb.queue)], (bb.queue)[:])
+		bb.queue = B
+	}
+	a := bb.queue[:]
+	n := len(a)
+	a = a[0 : n+1]
+	item := x.(*ExprReport)
+	item.index = n
+	a[n] = item
+	bb.queue = a
+}
+
+func (bb *ReportQueue) Pop() interface{} {
+	a := bb.queue
+	n := len(a)
+	item := a[n-1]
+	item.index = -1 // for safety
+	bb.queue = a[0 : n-1]
+	return item
+}
+
+func (bb *ReportQueue) GetReport(pos int) (er *ExprReport) {
+	return bb.queue[pos]
+}
+func (bb *ReportQueue) SetReport(pos int, er *ExprReport) {
+	bb.queue[pos] = er
+}
+func (bb *ReportQueue) GetQueue() ExprReportArray {
+	return bb.queue
+}
+
+func (bb *ReportQueue) SetSort(sortmethod SortType) {
+	// all of the methods need to be reversed conceptually except for paretos
+	// this is because the queue push/pops from the back
+	bb.sortmethod = sortmethod
+
+	switch sortmethod {
+	case GPSORT_SIZE:
+		bb.less = lessSize
+
+	case GPSORT_PRE_HIT:
+		bb.less = lessPredHits
+	case GPSORT_TRN_HIT:
+		bb.less = lessTrainHits
+	case GPSORT_TST_HIT:
+		bb.less = lessTestHits
+	case GPSORT_PRE_ERR:
+		bb.less = lessPredError
+	case GPSORT_TRN_ERR:
+		bb.less = lessTrainError
+	case GPSORT_TST_ERR:
+		bb.less = lessTestError
+
+	case GPSORT_SIZE_PRE_HIT:
+		bb.less = lessSizePredHits
+	case GPSORT_SIZE_TRN_HIT:
+		bb.less = lessSizeTrainHits
+	case GPSORT_SIZE_TST_HIT:
+		bb.less = lessSizeTestHits
+	case GPSORT_SIZE_PRE_ERR:
+		bb.less = lessSizePredError
+	case GPSORT_SIZE_TRN_ERR:
+		bb.less = lessSizeTrainError
+	case GPSORT_SIZE_TST_ERR:
+		bb.less = lessSizeTestError
+
+	case GPSORT_PRE_HIT_SIZE:
+		bb.less = lessPredHitsSize
+	case GPSORT_TRN_HIT_SIZE:
+		bb.less = lessTrainHitsSize
+	case GPSORT_TST_HIT_SIZE:
+		bb.less = lessTestHitsSize
+	case GPSORT_PRE_ERR_SIZE:
+		bb.less = lessPredErrorSize
+	case GPSORT_TRN_ERR_SIZE:
+		bb.less = lessTrainErrorSize
+	case GPSORT_TST_ERR_SIZE:
+		bb.less = lessTestErrorSize
+
+	// we use more here because of the heap / queue
+	case PESORT_SIZE:
+		bb.less = moreSize
+
+	case PESORT_PRE_HIT:
+		bb.less = morePredHits
+	case PESORT_TRN_HIT:
+		bb.less = moreTrainHits
+	case PESORT_TST_HIT:
+		bb.less = moreTestHits
+	case PESORT_PRE_ERR:
+		bb.less = morePredError
+	case PESORT_TRN_ERR:
+		bb.less = moreTrainError
+	case PESORT_TST_ERR:
+		bb.less = moreTestError
+
+	case PESORT_SIZE_PRE_HIT:
+		bb.less = moreSizePredHits
+	case PESORT_SIZE_TRN_HIT:
+		bb.less = moreSizeTrainHits
+	case PESORT_SIZE_TST_HIT:
+		bb.less = moreSizeTestHits
+	case PESORT_SIZE_PRE_ERR:
+		bb.less = moreSizePredError
+	case PESORT_SIZE_TRN_ERR:
+		bb.less = moreSizeTrainError
+	case PESORT_SIZE_TST_ERR:
+		bb.less = moreSizeTestError
+
+	case PESORT_PRE_HIT_SIZE:
+		bb.less = morePredHitsSize
+	case PESORT_TRN_HIT_SIZE:
+		bb.less = moreTrainHitsSize
+	case PESORT_TST_HIT_SIZE:
+		bb.less = moreTestHitsSize
+	case PESORT_PRE_ERR_SIZE:
+		bb.less = morePredErrorSize
+	case PESORT_TRN_ERR_SIZE:
+		bb.less = moreTrainErrorSize
+	case PESORT_TST_ERR_SIZE:
+		bb.less = moreTestErrorSize
+
+	default:
+		// fmt.Printf("unknown sort method\n")
+	}
+
+}
+
+func (bb *ReportQueue) Sort() {
+	// all of the methods need to be reversed conceptually except for paretos
+	// this is because the queue push/pops from the back
+	switch bb.sortmethod {
+	case GPSORT_PARETO_PRE_ERR:
+		bb.GP_ParetoPredError()
+		bb.reverseQueue()
+	case GPSORT_PARETO_TRN_ERR:
+		bb.GP_ParetoTrainError()
+		bb.reverseQueue()
+	case GPSORT_PARETO_TST_ERR:
+		bb.GP_ParetoTestError()
+		bb.reverseQueue()
+	case GPSORT_PARETO_PRE_HIT:
+		bb.GP_ParetoPredHits()
+		bb.reverseQueue()
+	case GPSORT_PARETO_TRN_HIT:
+		bb.GP_ParetoTrainHits()
+		bb.reverseQueue()
+	case GPSORT_PARETO_TST_HIT:
+		bb.GP_ParetoTestHits()
+		bb.reverseQueue()
+
+	case PESORT_PARETO_PRE_ERR:
+		bb.PE_ParetoPredError()
+	case PESORT_PARETO_TRN_ERR:
+		bb.PE_ParetoTrainError()
+	case PESORT_PARETO_TST_ERR:
+		bb.PE_ParetoTestError()
+	case PESORT_PARETO_PRE_HIT:
+		bb.PE_ParetoPredHits()
+	case PESORT_PARETO_TRN_HIT:
+		bb.PE_ParetoTrainHits()
+	case PESORT_PARETO_TST_HIT:
+		bb.PE_ParetoTestHits()
+
+	default:
+		sort.Sort(bb)
+	}
+
+}
+
+func (self *ReportQueue) Reverse() {
+	self.reverseQueue()
+}
+
+func (bb *ReportQueue) reverseQueue() {
+	i, j := 0, len(bb.queue)-1
+	for i < j {
+		bb.Swap(i, j)
+		i++
+		j--
+	}
+}
+
+func lessSize(l, r *ExprReport) bool {
+	sz := l.Size() - r.Size()
+	if sz < 0 {
+		return true
+	} else if sz > 0 {
+		return false
+	}
+	return l.expr.AmILess(r.expr)
+}
+func moreSize(l, r *ExprReport) bool {
+	sz := l.Size() - r.Size()
+	if sz < 0 {
+		return false
+	} else if sz > 0 {
+		return true
+	}
+	return l.expr.AmILess(r.expr)
+}
+
+func lessPredHits(l, r *ExprReport) bool {
+	sc := l.predScore - r.predScore
+	if sc > 0 {
+		return true
+	} else if sc < 0 {
+		return false
+	}
+	return l.expr.AmILess(r.expr)
+}
+func lessTrainHits(l, r *ExprReport) bool {
+	sc := l.trainScore - r.trainScore
+	if sc > 0 {
+		return true
+	} else if sc < 0 {
+		return false
+	}
+	return l.expr.AmILess(r.expr)
+}
+func lessTestHits(l, r *ExprReport) bool {
+	sc := l.testScore - r.testScore
+	if sc > 0 {
+		return true
+	} else if sc < 0 {
+		return false
+	}
+	return l.expr.AmILess(r.expr)
+}
+
+func lessPredError(l, r *ExprReport) bool {
+	sc := l.predError - r.predError
+	if sc < 0.0 {
+		return true
+	} else if sc > 0.0 {
+		return false
+	}
+	return l.expr.AmILess(r.expr)
+}
+func lessTrainError(l, r *ExprReport) bool {
+	sc := l.trainError - r.trainError
+	if sc < 0.0 {
+		return true
+	} else if sc > 0.0 {
+		return false
+	}
+	return l.expr.AmILess(r.expr)
+}
+func lessTestError(l, r *ExprReport) bool {
+	sc := l.testError - r.testError
+	if sc < 0.0 {
+		return true
+	} else if sc > 0.0 {
+		return false
+	}
+	return l.expr.AmILess(r.expr)
+}
+
+func lessSizePredHits(l, r *ExprReport) bool {
+	sz := l.Size() - r.Size()
+	if sz < 0 {
+		return true
+	} else if sz > 0 {
+		return false
+	}
+	sc := l.predScore - r.predScore
+	if sc > 0 {
+		return true
+	} else if sc < 0 {
+		return false
+	}
+	return l.expr.AmILess(r.expr)
+}
+func lessSizeTrainHits(l, r *ExprReport) bool {
+	sz := l.Size() - r.Size()
+	if sz < 0 {
+		return true
+	} else if sz > 0 {
+		return false
+	}
+	sc := l.trainScore - r.trainScore
+	if sc > 0 {
+		return true
+	} else if sc < 0 {
+		return false
+	}
+	return l.expr.AmILess(r.expr)
+}
+func lessSizeTestHits(l, r *ExprReport) bool {
+	sz := l.Size() - r.Size()
+	if sz < 0 {
+		return true
+	} else if sz > 0 {
+		return false
+	}
+	sc := l.testScore - r.testScore
+	if sc > 0 {
+		return true
+	} else if sc < 0 {
+		return false
+	}
+	return l.expr.AmILess(r.expr)
+}
+
+func lessSizePredError(l, r *ExprReport) bool {
+	sz := l.Size() - r.Size()
+	if sz < 0 {
+		return true
+	} else if sz > 0 {
+		return false
+	}
+	sc := l.predError - r.predError
+	if sc < 0.0 {
+		return true
+	} else if sc > 0.0 {
+		return false
+	}
+	return l.expr.AmILess(r.expr)
+}
+func lessSizeTrainError(l, r *ExprReport) bool {
+	sz := l.Size() - r.Size()
+	if sz < 0 {
+		return true
+	} else if sz > 0 {
+		return false
+	}
+	sc := l.trainError - r.trainError
+	if sc < 0.0 {
+		return true
+	} else if sc > 0.0 {
+		return false
+	}
+	return l.expr.AmILess(r.expr)
+}
+func lessSizeTestError(l, r *ExprReport) bool {
+	sz := l.Size() - r.Size()
+	if sz < 0 {
+		return true
+	} else if sz > 0 {
+		return false
+	}
+	sc := l.testError - r.testError
+	if sc < 0.0 {
+		return true
+	} else if sc > 0.0 {
+		return false
+	}
+	return l.expr.AmILess(r.expr)
+}
+
+func lessPredHitsSize(l, r *ExprReport) bool {
+	sc := l.predScore - r.predScore
+	if sc > 0 {
+		return true
+	} else if sc < 0 {
+		return false
+	}
+	sz := l.Size() - r.Size()
+	if sz < 0 {
+		return true
+	} else if sz > 0 {
+		return false
+	}
+	return l.expr.AmILess(r.expr)
+}
+func lessTrainHitsSize(l, r *ExprReport) bool {
+	sc := l.trainScore - r.trainScore
+	if sc > 0 {
+		return true
+	} else if sc < 0 {
+		return false
+	}
+	sz := l.Size() - r.Size()
+	if sz < 0 {
+		return true
+	} else if sz > 0 {
+		return false
+	}
+	return l.expr.AmILess(r.expr)
+}
+func lessTestHitsSize(l, r *ExprReport) bool {
+	sc := l.testScore - r.testScore
+	if sc > 0 {
+		return true
+	} else if sc < 0 {
+		return false
+	}
+	sz := l.Size() - r.Size()
+	if sz < 0 {
+		return true
+	} else if sz > 0 {
+		return false
+	}
+	return l.expr.AmILess(r.expr)
+}
+
+func lessPredErrorSize(l, r *ExprReport) bool {
+	sc := l.predError - r.predError
+	if sc < 0.0 {
+		return true
+	} else if sc > 0.0 {
+		return false
+	}
+	sz := l.Size() - r.Size()
+	if sz < 0 {
+		return true
+	} else if sz > 0 {
+		return false
+	}
+	return l.expr.AmILess(r.expr)
+}
+func lessTrainErrorSize(l, r *ExprReport) bool {
+	sc := l.trainError - r.trainError
+	if sc < 0.0 {
+		return true
+	} else if sc > 0.0 {
+		return false
+	}
+	sz := l.Size() - r.Size()
+	if sz < 0 {
+		return true
+	} else if sz > 0 {
+		return false
+	}
+	return l.expr.AmILess(r.expr)
+}
+func lessTestErrorSize(l, r *ExprReport) bool {
+	sc := l.testError - r.testError
+	if sc < 0.0 {
+		return true
+	} else if sc > 0.0 {
+		return false
+	}
+	sz := l.Size() - r.Size()
+	if sz < 0 {
+		return true
+	} else if sz > 0 {
+		return false
+	}
+	return l.expr.AmILess(r.expr)
+}
+
+func morePredHits(l, r *ExprReport) bool {
+	sc := l.predScore - r.predScore
+	if sc > 0 {
+		return false
+	} else if sc < 0 {
+		return true
+	}
+	return l.expr.AmILess(r.expr)
+}
+func moreTrainHits(l, r *ExprReport) bool {
+	sc := l.trainScore - r.trainScore
+	if sc > 0 {
+		return false
+	} else if sc < 0 {
+		return true
+	}
+	return l.expr.AmILess(r.expr)
+}
+func moreTestHits(l, r *ExprReport) bool {
+	sc := l.testScore - r.testScore
+	if sc > 0 {
+		return false
+	} else if sc < 0 {
+		return true
+	}
+	return l.expr.AmILess(r.expr)
+}
+func morePredError(l, r *ExprReport) bool {
+	sc := l.predError - r.predError
+	if sc < 0.0 {
+		return false
+	} else if sc > 0.0 {
+		return true
+	}
+	return l.expr.AmILess(r.expr)
+}
+func moreTrainError(l, r *ExprReport) bool {
+	sc := l.trainError - r.trainError
+	if sc < 0.0 {
+		return false
+	} else if sc > 0.0 {
+		return true
+	}
+	return l.expr.AmILess(r.expr)
+}
+func moreTestError(l, r *ExprReport) bool {
+	sc := l.testError - r.testError
+	if sc < 0.0 {
+		return false
+	} else if sc > 0.0 {
+		return true
+	}
+	return l.expr.AmILess(r.expr)
+}
+
+func moreSizePredHits(l, r *ExprReport) bool {
+	sz := l.Size() - r.Size()
+	if sz < 0 {
+		return false
+	} else if sz > 0 {
+		return true
+	}
+	sc := l.predScore - r.predScore
+	if sc > 0 {
+		return false
+	} else if sc < 0 {
+		return true
+	}
+	return l.expr.AmILess(r.expr)
+}
+func moreSizeTrainHits(l, r *ExprReport) bool {
+	sz := l.Size() - r.Size()
+	if sz < 0 {
+		return false
+	} else if sz > 0 {
+		return true
+	}
+	sc := l.trainScore - r.trainScore
+	if sc > 0 {
+		return false
+	} else if sc < 0 {
+		return true
+	}
+	return l.expr.AmILess(r.expr)
+}
+func moreSizeTestHits(l, r *ExprReport) bool {
+	sz := l.Size() - r.Size()
+	if sz < 0 {
+		return false
+	} else if sz > 0 {
+		return true
+	}
+	sc := l.testScore - r.testScore
+	if sc > 0 {
+		return false
+	} else if sc < 0 {
+		return true
+	}
+	return l.expr.AmILess(r.expr)
+}
+
+func moreSizePredError(l, r *ExprReport) bool {
+	sz := l.Size() - r.Size()
+	if sz < 0 {
+		return false
+	} else if sz > 0 {
+		return true
+	}
+	sc := l.predError - r.predError
+	if sc < 0.0 {
+		return false
+	} else if sc > 0.0 {
+		return true
+	}
+	return l.expr.AmILess(r.expr)
+}
+func moreSizeTrainError(l, r *ExprReport) bool {
+	sz := l.Size() - r.Size()
+	if sz < 0 {
+		return false
+	} else if sz > 0 {
+		return true
+	}
+	sc := l.trainError - r.trainError
+	if sc < 0.0 {
+		return false
+	} else if sc > 0.0 {
+		return true
+	}
+	return l.expr.AmILess(r.expr)
+}
+func moreSizeTestError(l, r *ExprReport) bool {
+	sz := l.Size() - r.Size()
+	if sz < 0 {
+		return false
+	} else if sz > 0 {
+		return true
+	}
+	sc := l.testError - r.testError
+	if sc < 0.0 {
+		return false
+	} else if sc > 0.0 {
+		return true
+	}
+	return l.expr.AmILess(r.expr)
+}
+
+func morePredHitsSize(l, r *ExprReport) bool {
+	sc := l.predScore - r.predScore
+	if sc > 0 {
+		return false
+	} else if sc < 0 {
+		return true
+	}
+	sz := l.Size() - r.Size()
+	if sz < 0 {
+		return false
+	} else if sz > 0 {
+		return true
+	}
+	return l.expr.AmILess(r.expr)
+}
+func moreTrainHitsSize(l, r *ExprReport) bool {
+	sc := l.trainScore - r.trainScore
+	if sc > 0 {
+		return false
+	} else if sc < 0 {
+		return true
+	}
+	sz := l.Size() - r.Size()
+	if sz < 0 {
+		return false
+	} else if sz > 0 {
+		return true
+	}
+	return l.expr.AmILess(r.expr)
+}
+func moreTestHitsSize(l, r *ExprReport) bool {
+	sc := l.testScore - r.testScore
+	if sc > 0 {
+		return false
+	} else if sc < 0 {
+		return true
+	}
+	sz := l.Size() - r.Size()
+	if sz < 0 {
+		return false
+	} else if sz > 0 {
+		return true
+	}
+	return l.expr.AmILess(r.expr)
+}
+
+func morePredErrorSize(l, r *ExprReport) bool {
+	sc := l.predError - r.predError
+	if sc < 0.0 {
+		return false
+	} else if sc > 0.0 {
+		return true
+	}
+	sz := l.Size() - r.Size()
+	if sz < 0 {
+		return false
+	} else if sz > 0 {
+		return true
+	}
+	return l.expr.AmILess(r.expr)
+}
+func moreTrainErrorSize(l, r *ExprReport) bool {
+	sc := l.trainError - r.trainError
+	if sc < 0.0 {
+		return false
+	} else if sc > 0.0 {
+		return true
+	}
+	sz := l.Size() - r.Size()
+	if sz < 0 {
+		return false
+	} else if sz > 0 {
+		return true
+	}
+	return l.expr.AmILess(r.expr)
+}
+func moreTestErrorSize(l, r *ExprReport) bool {
+	sc := l.testError - r.testError
+	if sc < 0.0 {
+		return false
+	} else if sc > 0.0 {
+		return true
+	}
+	sz := l.Size() - r.Size()
+	if sz < 0 {
+		return false
+	} else if sz > 0 {
+		return true
+	}
+	return l.expr.AmILess(r.expr)
+}
+
+func (bb *ReportQueue) GP_ParetoPredHits() {
+	bb.less = lessSizePredHits
+	sort.Sort(bb)
+
+	var pareto list.List
+	pareto.Init()
+	for i, _ := range bb.queue {
+		if bb.queue[i] == nil {
+			continue
+		}
+		pareto.PushBack(bb.queue[i])
+	}
+
+	over := len(bb.queue) - 1
+	for pareto.Len() > 0 && over >= 0 {
+		pe := pareto.Front()
+		eLast := pe
+		pb := pe.Value.(*ExprReport)
+		cSize := pb.Size()
+		cScore := pb.predScore
+		pe = pe.Next()
+		for pe != nil && over >= 0 {
+			pb := pe.Value.(*ExprReport)
+			if pb.Size() > cSize {
+				cSize = pb.Size()
+				if pb.predScore < cScore {
+					cScore = pb.predScore
+					bb.queue[over] = eLast.Value.(*ExprReport)
+					over--
+					pareto.Remove(eLast)
+					eLast = pe
+				}
+			}
+			pe = pe.Next()
+		}
+		if over < 0 {
+			break
+		}
+
+		bb.queue[over] = eLast.Value.(*ExprReport)
+		over--
+		pareto.Remove(eLast)
+	}
+}
+
+func (bb *ReportQueue) GP_ParetoTrainHits() {
+	bb.less = lessSizeTrainHits
+	sort.Sort(bb)
+
+	var pareto list.List
+	pareto.Init()
+	for i, _ := range bb.queue {
+		if bb.queue[i] == nil {
+			continue
+		}
+		pareto.PushBack(bb.queue[i])
+	}
+
+	over := len(bb.queue) - 1
+	for pareto.Len() > 0 && over >= 0 {
+		pe := pareto.Front()
+		eLast := pe
+		pb := pe.Value.(*ExprReport)
+		cSize := pb.Size()
+		cScore := pb.trainScore
+		pe = pe.Next()
+		for pe != nil && over >= 0 {
+			pb := pe.Value.(*ExprReport)
+			if pb.Size() > cSize {
+				cSize = pb.Size()
+				if pb.trainScore < cScore {
+					cScore = pb.trainScore
+					bb.queue[over] = eLast.Value.(*ExprReport)
+					over--
+					pareto.Remove(eLast)
+					eLast = pe
+				}
+			}
+			pe = pe.Next()
+		}
+		if over < 0 {
+			break
+		}
+
+		bb.queue[over] = eLast.Value.(*ExprReport)
+		over--
+		pareto.Remove(eLast)
+	}
+}
+
+func (bb *ReportQueue) GP_ParetoTestHits() {
+	bb.less = lessSizeTestHits
+	sort.Sort(bb)
+
+	var pareto list.List
+	pareto.Init()
+	for i, _ := range bb.queue {
+		if bb.queue[i] == nil {
+			continue
+		}
+		pareto.PushBack(bb.queue[i])
+	}
+
+	over := len(bb.queue) - 1
+	for pareto.Len() > 0 && over >= 0 {
+		pe := pareto.Front()
+		eLast := pe
+		pb := pe.Value.(*ExprReport)
+		cSize := pb.Size()
+		cScore := pb.testScore
+		pe = pe.Next()
+		for pe != nil && over >= 0 {
+			pb := pe.Value.(*ExprReport)
+			if pb.Size() > cSize {
+				cSize = pb.Size()
+				if pb.testScore < cScore {
+					cScore = pb.testScore
+					bb.queue[over] = eLast.Value.(*ExprReport)
+					over--
+					pareto.Remove(eLast)
+					eLast = pe
+				}
+			}
+			pe = pe.Next()
+		}
+		if over < 0 {
+			break
+		}
+
+		bb.queue[over] = eLast.Value.(*ExprReport)
+		over--
+		pareto.Remove(eLast)
+	}
+}
+
+func (bb *ReportQueue) GP_ParetoPredError() {
+	bb.less = lessSizePredError
+	sort.Sort(bb)
+
+	// var pareto list.List
+	// pareto.Init()
+	var pareto ReportList
+	for i, _ := range bb.queue {
+		if bb.queue[i] == nil {
+			continue
+		}
+		pareto.PushBack(bb.queue[i])
+	}
+
+	over := len(bb.queue) - 1
+	for pareto.Len() > 0 && over >= 0 {
+		pe := pareto.Front()
+		eLast := pe
+		// pb := pe.Value.(*ExprReport)
+		pb := pe.Rpt
+		cSize := pb.Size()
+		cScore := pb.predError
+		pe = pe.Next()
+		for pe != nil && over >= 0 {
+			// pb := pe.Value.(*ExprReport)
+			pb := pe.Rpt
+			sz := pb.Size()
+			if sz > cSize {
+				cSize = sz
+				if pb.predError < cScore {
+					cScore = pb.predError
+					// bb.queue[over] = eLast.Value.(*ExprReport)
+					bb.queue[over] = eLast.Rpt
+					over--
+					pareto.Remove(eLast)
+					eLast = pe
+				}
+			}
+			pe = pe.Next()
+		}
+		if over < 0 {
+			break
+		}
+
+		// bb.queue[over] = eLast.Value.(*ExprReport)
+		bb.queue[over] = eLast.Rpt
+		over--
+		pareto.Remove(eLast)
+	}
+}
+
+func (bb *ReportQueue) GP_ParetoTrainError() {
+	bb.less = lessSizeTrainError
+	sort.Sort(bb)
+
+	var pareto list.List
+	pareto.Init()
+	for i, _ := range bb.queue {
+		if bb.queue[i] == nil {
+			continue
+		}
+		pareto.PushBack(bb.queue[i])
+	}
+
+	over := len(bb.queue) - 1
+	for pareto.Len() > 0 && over >= 0 {
+		pe := pareto.Front()
+		eLast := pe
+		pb := pe.Value.(*ExprReport)
+		cSize := pb.Size()
+		cScore := pb.trainError
+		pe = pe.Next()
+		for pe != nil && over >= 0 {
+			pb := pe.Value.(*ExprReport)
+			if pb.Size() > cSize {
+				cSize = pb.Size()
+				if pb.trainError < cScore {
+					cScore = pb.trainError
+					bb.queue[over] = eLast.Value.(*ExprReport)
+					over--
+					pareto.Remove(eLast)
+					eLast = pe
+				}
+			}
+			pe = pe.Next()
+		}
+		if over < 0 {
+			break
+		}
+
+		bb.queue[over] = eLast.Value.(*ExprReport)
+		over--
+		pareto.Remove(eLast)
+	}
+}
+
+func (bb *ReportQueue) GP_ParetoTestError() {
+	bb.less = lessSizeTestError
+	sort.Sort(bb)
+
+	var pareto list.List
+	pareto.Init()
+	for i, _ := range bb.queue {
+		if bb.queue[i] == nil {
+			continue
+		}
+		pareto.PushBack(bb.queue[i])
+	}
+
+	over := len(bb.queue) - 1
+	for pareto.Len() > 0 && over >= 0 {
+		pe := pareto.Front()
+		eLast := pe
+		pb := pe.Value.(*ExprReport)
+		cSize := pb.Size()
+		cScore := pb.testError
+		pe = pe.Next()
+		for pe != nil && over >= 0 {
+			pb := pe.Value.(*ExprReport)
+			if pb.Size() > cSize {
+				cSize = pb.Size()
+				if pb.testError < cScore {
+					cScore = pb.testError
+					bb.queue[over] = eLast.Value.(*ExprReport)
+					over--
+					pareto.Remove(eLast)
+					eLast = pe
+				}
+			}
+			pe = pe.Next()
+		}
+		if over < 0 {
+			break
+		}
+
+		bb.queue[over] = eLast.Value.(*ExprReport)
+		over--
+		pareto.Remove(eLast)
+	}
+}
+
+func (bb *ReportQueue) PE_ParetoPredHits() {
+	bb.less = lessSizePredHits
+	sort.Sort(bb)
+
+	var pareto list.List
+	pareto.Init()
+	for i, _ := range bb.queue {
+		if bb.queue[i] == nil {
+			continue
+		}
+		pareto.PushBack(bb.queue[i])
+	}
+
+	over := len(bb.queue) - 1
+	for pareto.Len() > 0 && over >= 0 {
+		pe := pareto.Front()
+		eLast := pe
+		pb := pe.Value.(*ExprReport)
+		cSize := pb.Size()
+		cScore := pb.predScore
+		pe = pe.Next()
+		for pe != nil && over >= 0 {
+			pb := pe.Value.(*ExprReport)
+			if pb.predScore > cScore {
+				cScore = pb.predScore
+				if pb.Size() > cSize {
+					bb.queue[over] = eLast.Value.(*ExprReport)
+					over--
+					pareto.Remove(eLast)
+					cSize = pb.Size()
+					eLast = pe
+				}
+			}
+			pe = pe.Next()
+		}
+		if over < 0 {
+			break
+		}
+
+		bb.queue[over] = eLast.Value.(*ExprReport)
+		over--
+		pareto.Remove(eLast)
+	}
+}
+
+func (bb *ReportQueue) PE_ParetoTrainHits() {
+	bb.less = lessSizeTrainHits
+	sort.Sort(bb)
+
+	var pareto list.List
+	pareto.Init()
+	for i, _ := range bb.queue {
+		if bb.queue[i] == nil {
+			continue
+		}
+		pareto.PushBack(bb.queue[i])
+	}
+
+	over := len(bb.queue) - 1
+	for pareto.Len() > 0 && over >= 0 {
+		pe := pareto.Front()
+		eLast := pe
+		pb := pe.Value.(*ExprReport)
+		cSize := pb.Size()
+		cScore := pb.trainScore
+		pe = pe.Next()
+		for pe != nil && over >= 0 {
+			pb := pe.Value.(*ExprReport)
+			if pb.trainScore > cScore {
+				cScore = pb.trainScore
+				if pb.Size() > cSize {
+					bb.queue[over] = eLast.Value.(*ExprReport)
+					over--
+					pareto.Remove(eLast)
+					cSize = pb.Size()
+					eLast = pe
+				}
+			}
+			pe = pe.Next()
+		}
+		if over < 0 {
+			break
+		}
+
+		bb.queue[over] = eLast.Value.(*ExprReport)
+		over--
+		pareto.Remove(eLast)
+	}
+}
+
+func (bb *ReportQueue) PE_ParetoTestHits() {
+	bb.less = lessSizeTestHits
+	sort.Sort(bb)
+
+	var pareto list.List
+	pareto.Init()
+	for i, _ := range bb.queue {
+		if bb.queue[i] == nil {
+			continue
+		}
+		pareto.PushBack(bb.queue[i])
+	}
+
+	over := len(bb.queue) - 1
+	for pareto.Len() > 0 && over >= 0 {
+		pe := pareto.Front()
+		eLast := pe
+		pb := pe.Value.(*ExprReport)
+		cSize := pb.Size()
+		cScore := pb.testScore
+		pe = pe.Next()
+		for pe != nil && over >= 0 {
+			pb := pe.Value.(*ExprReport)
+			if pb.testScore > cScore {
+				cScore = pb.testScore
+				if pb.Size() > cSize {
+					bb.queue[over] = eLast.Value.(*ExprReport)
+					over--
+					pareto.Remove(eLast)
+					cSize = pb.Size()
+					eLast = pe
+				}
+			}
+			pe = pe.Next()
+		}
+		if over < 0 {
+			break
+		}
+
+		bb.queue[over] = eLast.Value.(*ExprReport)
+		over--
+		pareto.Remove(eLast)
+	}
+}
+
+func (bb *ReportQueue) PE_ParetoPredError() {
+	bb.less = lessSizePredError
+	sort.Sort(bb)
+
+	// var pareto list.List
+	// pareto.Init()
+	var pareto ReportList
+	for i, _ := range bb.queue {
+		if bb.queue[i] == nil {
+			continue
+		}
+		pareto.PushBack(bb.queue[i])
+	}
+
+	over := len(bb.queue) - 1
+	for pareto.Len() > 0 && over >= 0 {
+		pe := pareto.Front()
+		eLast := pe
+		// pb := pe.Value.(*ExprReport)
+		pb := pe.Rpt
+		cSize := pb.Size()
+		cScore := pb.predError
+		pe = pe.Next()
+		for pe != nil && over >= 0 {
+			// pb = pe.Value.(*ExprReport)
+			pb = pe.Rpt
+			if pb.predError < cScore {
+				cScore = pb.predError
+				if pb.Size() > cSize {
+					// bb.queue[over] = eLast.Value.(*ExprReport)
+					bb.queue[over] = eLast.Rpt
+					over--
+					pareto.Remove(eLast)
+					cSize = pb.Size()
+					eLast = pe
+				}
+			}
+			pe = pe.Next()
+		}
+		if over < 0 {
+			break
+		}
+
+		// bb.queue[over] = eLast.Value.(*ExprReport)
+		bb.queue[over] = eLast.Rpt
+		over--
+		pareto.Remove(eLast)
+	}
+}
+
+func (bb *ReportQueue) PE_ParetoTrainError() {
+	bb.less = lessSizeTrainError
+	sort.Sort(bb)
+
+	var pareto list.List
+	pareto.Init()
+	for i, _ := range bb.queue {
+		if bb.queue[i] == nil {
+			continue
+		}
+		pareto.PushBack(bb.queue[i])
+	}
+
+	over := len(bb.queue) - 1
+	for pareto.Len() > 0 && over >= 0 {
+		pe := pareto.Front()
+		eLast := pe
+		pb := pe.Value.(*ExprReport)
+		cSize := pb.Size()
+		cScore := pb.trainError
+		pe = pe.Next()
+		for pe != nil && over >= 0 {
+			pb := pe.Value.(*ExprReport)
+			if pb.trainError < cScore {
+				cScore = pb.trainError
+				if pb.Size() > cSize {
+					bb.queue[over] = eLast.Value.(*ExprReport)
+					over--
+					pareto.Remove(eLast)
+					cSize = pb.Size()
+					eLast = pe
+				}
+			}
+			pe = pe.Next()
+		}
+		if over < 0 {
+			break
+		}
+
+		bb.queue[over] = eLast.Value.(*ExprReport)
+		over--
+		pareto.Remove(eLast)
+	}
+}
+
+func (bb *ReportQueue) PE_ParetoTestError() {
+	bb.less = lessSizeTestError
+	sort.Sort(bb)
+
+	var pareto list.List
+	pareto.Init()
+	for i, _ := range bb.queue {
+		if bb.queue[i] == nil {
+			continue
+		}
+		pareto.PushBack(bb.queue[i])
+	}
+
+	over := len(bb.queue) - 1
+	for pareto.Len() > 0 && over >= 0 {
+		pe := pareto.Front()
+		eLast := pe
+		pb := pe.Value.(*ExprReport)
+		cSize := pb.Size()
+		cScore := pb.testError
+		pe = pe.Next()
+		for pe != nil && over >= 0 {
+			pb := pe.Value.(*ExprReport)
+			if pb.testError < cScore {
+				cScore = pb.testError
+				if pb.Size() > cSize {
+					bb.queue[over] = eLast.Value.(*ExprReport)
+					over--
+					pareto.Remove(eLast)
+					cSize = pb.Size()
+					eLast = pe
+				}
+			}
+			pe = pe.Next()
+		}
+		if over < 0 {
+			break
+		}
+
+		bb.queue[over] = eLast.Value.(*ExprReport)
+		over--
+		pareto.Remove(eLast)
+	}
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/problems/treeparams.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/problems/treeparams.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/problems/treeparams.go	(revision 16620)
@@ -0,0 +1,308 @@
+package problems
+
+import (
+	"bufio"
+	"fmt"
+	"strconv"
+	"strings"
+
+	expr "go-symexpr"
+)
+
+type TreeParams struct {
+
+	// bounds on tree
+	MaxSize, MaxDepth,
+	MinSize, MinDepth int
+
+	// usable terms at each location
+	RootsS, NodesS, LeafsS, NonTrigS []string
+	RootsT, NodesT, LeafsT, NonTrigT []expr.ExprType
+	Roots, Nodes, Leafs, NonTrig     []expr.Expr
+
+	// simplify options
+	DoSimp bool
+	SRules expr.SimpRules
+
+	// bounds on some operands
+	UsableVars               []int
+	NumDim, NumSys, NumCoeff int
+
+	// tpm bounds on tree (for subtree distributions)
+	TmpMaxSize, TmpMaxDepth,
+	TmpMinSize, TmpMinDepth int
+
+	// Current values
+	CurrSize, CurrDepth int
+	InTrig              bool
+	CoeffCount          int
+}
+
+func (t *TreeParams) Clone() *TreeParams {
+	n := new(TreeParams)
+	n.MaxSize = t.MaxSize
+	n.MaxDepth = t.MaxDepth
+	n.MinSize = t.MinSize
+	n.MinDepth = t.MinDepth
+
+	n.RootsS = make([]string, len(t.RootsS))
+	copy(n.RootsS, t.RootsS)
+	n.NodesS = make([]string, len(t.NodesS))
+	copy(n.NodesS, t.NodesS)
+	n.LeafsS = make([]string, len(t.LeafsS))
+	copy(n.LeafsS, t.LeafsS)
+	n.NonTrigS = make([]string, len(t.NonTrigS))
+	copy(n.NonTrigS, t.NonTrigS)
+
+	n.RootsT = make([]expr.ExprType, len(t.RootsT))
+	copy(n.RootsT, t.RootsT)
+	n.NodesT = make([]expr.ExprType, len(t.NodesT))
+	copy(n.NodesT, t.NodesT)
+	n.LeafsT = make([]expr.ExprType, len(t.LeafsT))
+	copy(n.LeafsT, t.LeafsT)
+	n.NonTrigT = make([]expr.ExprType, len(t.NonTrigT))
+	copy(n.NonTrigT, t.NonTrigT)
+
+	n.Roots = make([]expr.Expr, len(t.Roots))
+	copy(n.Roots, t.Roots)
+	n.Nodes = make([]expr.Expr, len(t.Nodes))
+	copy(n.Nodes, t.Nodes)
+	n.Leafs = make([]expr.Expr, len(t.Leafs))
+	copy(n.Leafs, t.Leafs)
+	n.NonTrig = make([]expr.Expr, len(t.NonTrig))
+	copy(n.NonTrig, t.NonTrig)
+
+	n.DoSimp = t.DoSimp
+	n.SRules = t.SRules
+
+	n.UsableVars = make([]int, len(t.UsableVars))
+	copy(n.UsableVars, t.UsableVars)
+
+	n.NumDim = t.NumDim
+	n.NumSys = t.NumSys
+	n.NumCoeff = t.NumCoeff
+
+	return n
+}
+func ParseTreeParams(field, value string, config interface{}) (found bool, err error) {
+
+	TP := config.(*TreeParams)
+	found = true
+
+	switch strings.ToUpper(field) {
+	case "ROOTS":
+		TP.RootsS = strings.Fields(value)
+		TP.RootsT, TP.Roots = fillExprStuff(TP.RootsS)
+	case "NODES":
+		TP.NodesS = strings.Fields(value)
+		TP.NodesT, TP.Nodes = fillExprStuff(TP.NodesS)
+	case "NONTRIG":
+		TP.NonTrigS = strings.Fields(value)
+		TP.NonTrigT, TP.NonTrig = fillExprStuff(TP.NonTrigS)
+	case "LEAFS":
+		TP.LeafsS = strings.Fields(value)
+		TP.LeafsT, TP.Leafs = fillExprStuff(TP.LeafsS)
+
+	case "USABLEVARS":
+		usable := strings.Fields(value)
+		for _, v := range usable {
+			ival, cerr := strconv.Atoi(v)
+			if cerr != nil {
+				return found, cerr
+			}
+			TP.UsableVars = append(TP.UsableVars, ival)
+		}
+
+	case "MAXSIZE":
+		ival, cerr := strconv.Atoi(value)
+		if cerr != nil {
+			return found, cerr
+		}
+		TP.MaxSize = ival
+	case "MINSIZE":
+		ival, cerr := strconv.Atoi(value)
+		if cerr != nil {
+			return found, cerr
+		}
+		TP.MinSize = ival
+	case "MAXDEPTH":
+		ival, cerr := strconv.Atoi(value)
+		if cerr != nil {
+			return found, cerr
+		}
+		TP.MaxDepth = ival
+	case "MINDEPTH":
+		ival, cerr := strconv.Atoi(value)
+		if cerr != nil {
+			return found, cerr
+		}
+		TP.MinDepth = ival
+
+	default:
+		found = false
+
+	}
+	return
+}
+
+func fillExprStuff(names []string) (types []expr.ExprType, exprs []expr.Expr) {
+	types = make([]expr.ExprType, len(names))
+	exprs = make([]expr.Expr, len(names))
+	for i, n := range names {
+		switch strings.ToLower(n) {
+		case "constant":
+			types[i] = expr.CONSTANT
+			exprs[i] = new(expr.Constant)
+		case "constantf":
+			types[i] = expr.CONSTANTF
+			exprs[i] = new(expr.ConstantF)
+		case "time":
+			types[i] = expr.TIME
+			exprs[i] = new(expr.Time)
+		case "system":
+			types[i] = expr.SYSTEM
+			exprs[i] = new(expr.System)
+		case "var":
+			types[i] = expr.VAR
+			exprs[i] = new(expr.Var)
+
+		case "neg":
+			types[i] = expr.NEG
+			exprs[i] = new(expr.Neg)
+		case "abs":
+			types[i] = expr.ABS
+			exprs[i] = new(expr.Abs)
+		case "sqrt":
+			types[i] = expr.SQRT
+			exprs[i] = new(expr.Sqrt)
+		case "sin":
+			types[i] = expr.SIN
+			exprs[i] = new(expr.Sin)
+		case "cos":
+			types[i] = expr.COS
+			exprs[i] = new(expr.Cos)
+		case "tan":
+			types[i] = expr.TAN
+			exprs[i] = new(expr.Tan)
+		case "exp":
+			types[i] = expr.EXP
+			exprs[i] = new(expr.Exp)
+		case "log":
+			types[i] = expr.LOG
+			exprs[i] = new(expr.Log)
+
+		case "powi":
+			types[i] = expr.POWI
+			exprs[i] = new(expr.PowI)
+		case "powf":
+			types[i] = expr.POWF
+			exprs[i] = new(expr.PowF)
+		case "powe":
+			types[i] = expr.POWE
+			exprs[i] = new(expr.PowE)
+
+		case "add":
+			types[i] = expr.ADD
+			exprs[i] = expr.NewAdd()
+		case "mul":
+			types[i] = expr.MUL
+			exprs[i] = expr.NewMul()
+		case "div":
+			types[i] = expr.DIV
+			exprs[i] = new(expr.Div)
+		default:
+		}
+	}
+	return
+}
+
+func (tp *TreeParams) CheckExprTmp(e expr.Expr) bool {
+	if e.Size() < tp.TmpMinSize || e.Size() > tp.TmpMaxSize ||
+		e.Height() < tp.TmpMinDepth || e.Height() > tp.TmpMaxDepth {
+		return false
+	}
+	return true
+}
+func (tp *TreeParams) CheckExpr(e expr.Expr) bool {
+	if e.Size() < tp.MinSize {
+		//    fmt.Printf( "Too SMALL:  e:%v  l:%v\n", e.Size(), tp.TmpMinSize )
+		return false
+	} else if e.Size() > tp.MaxSize {
+		//    fmt.Printf( "Too LARGE:  e:%v  l:%v\n", e.Size(), tp.TmpMaxSize )
+		return false
+	} else if e.Height() < tp.MinDepth {
+		//    fmt.Printf( "Too SHORT:  e:%v  l:%v\n", e.Height(), tp.TmpMinDepth )
+		return false
+	} else if e.Height() > tp.MaxDepth {
+		//    fmt.Printf( "Too TALL:  e:%v  l:%v\n", e.Height(), tp.TmpMaxDepth )
+		return false
+	}
+	return true
+}
+
+func (tp *TreeParams) CheckExprLog(e expr.Expr, log *bufio.Writer) bool {
+	//   if e.Size() < tp.TmpMinSize || e.Size() > tp.TmpMaxSize ||
+	//     e.Height() < tp.TmpMinDepth || e.Height() > tp.TmpMaxDepth {
+	//       return false
+	//     }
+	if e.Size() < tp.MinSize {
+		return false
+	} else if e.Size() > tp.MaxSize {
+		return false
+	} else if e.Height() < tp.MinDepth {
+		return false
+	} else if e.Height() > tp.MaxDepth {
+		return false
+	}
+	return true
+}
+func (tp *TreeParams) CheckExprPrint(e expr.Expr) bool {
+	//   if e.Size() < tp.TmpMinSize || e.Size() > tp.TmpMaxSize ||
+	//     e.Height() < tp.TmpMinDepth || e.Height() > tp.TmpMaxDepth {
+	//       return false
+	//     }
+	if e.Size() < tp.MinSize {
+		fmt.Printf("Too SMALL:  e:%v  l:%v\n", e.Size(), tp.MinSize)
+		return false
+	} else if e.Size() > tp.MaxSize {
+		fmt.Printf("Too LARGE:  e:%v  l:%v\n", e.Size(), tp.MaxSize)
+		return false
+	} else if e.Height() < tp.MinDepth {
+		fmt.Printf("Too SHORT:  e:%v  l:%v\n", e.Height(), tp.MinDepth)
+		return false
+	} else if e.Height() > tp.MaxDepth {
+		fmt.Printf("Too TALL:  e:%v  l:%v\n", e.Height(), tp.MaxDepth)
+		return false
+	}
+	return true
+}
+
+func (tp *TreeParams) ResetCurr() {
+	tp.CurrSize, tp.CurrDepth, tp.InTrig, tp.CoeffCount = 0, 0, false, 0
+}
+func (tp *TreeParams) ResetTemp() {
+	tp.TmpMaxSize, tp.TmpMaxDepth = tp.MaxSize, tp.MaxDepth
+	tp.TmpMinSize, tp.TmpMinDepth = tp.MinSize, tp.MinDepth
+}
+
+
+func (TP *TreeParams) CreateTreeParams(Roots string, Nodes string, NonTrig string, Leafs string, UsableVars []int, MaxSize int, MinSize int, MaxDepth int, MinDepth int) {
+	TP.RootsS = strings.Fields(Roots)
+	TP.RootsT, TP.Roots = fillExprStuff(TP.RootsS)
+	
+	TP.NodesS = strings.Fields(Nodes)
+	TP.NodesT, TP.Nodes = fillExprStuff(TP.NodesS)
+	
+	TP.NonTrigS = strings.Fields(NonTrig)
+	TP.NonTrigT, TP.NonTrig = fillExprStuff(TP.NonTrigS)
+	
+	TP.LeafsS = strings.Fields(Leafs)
+	TP.LeafsT, TP.Leafs = fillExprStuff(TP.LeafsS)
+
+	TP.UsableVars = UsableVars[:]
+
+	TP.MaxSize = MaxSize
+	TP.MinSize = MinSize
+	TP.MaxDepth = MaxDepth
+	TP.MinDepth = MinDepth
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/testmulti.c
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/testmulti.c	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-pge/testmulti.c	(revision 16620)
@@ -0,0 +1,447 @@
+#include <stdio.h>
+#include <string.h>
+#include <stdlib.h>
+#include <ctype.h>
+
+#include "list.c"
+#include "libpge.h"
+
+#define MAX_CHAR 255
+//#define DEBUG
+
+char* trim(char *str)
+{
+  char *end;
+  while(isspace((unsigned char)*str)) {
+    str++;
+  }
+  if(*str == 0) {
+    return "\0";
+  }
+  end = str + strlen(str) - 1;
+  while(end > str && isspace((unsigned char)*end)) {
+    end--;
+  }
+  end[1] = '\0';
+  return str;
+}
+
+GoInt CountCols(char *str) {
+    GoInt res = 0;
+    trim(str);
+    char *partial = strtok(str, " ");
+    while(partial != NULL) {
+        res++;
+        partial = strtok(NULL, " ");
+    }
+    return res;
+}
+
+char* lowerCase(char *str) {
+    int i = 0;
+    while(str[i] && str[i] != '\0'){
+        char c = tolower(str[i]);
+        str[i] = c;
+        i++;
+    }
+    return str;
+}
+
+char *strndup(char *str, int chars)
+{
+    char *buffer;
+    int n;
+
+    buffer = (char *) malloc(chars +1);
+    if (buffer)
+    {
+        for (n = 0; ((n < chars) && (str[n] != 0)) ; n++) buffer[n] = str[n];
+        buffer[n] = 0;
+    }
+
+    return buffer;
+}
+
+//Read train / test data
+GoFloat64* ReadInputData(char *fileName, GoInt* nEntries, GoInt* nCol, char** depHead, char** indHead) {
+    FILE *fp;
+    fp = fopen(fileName, "r");
+    if (fp == NULL) {
+        char msg[MAX_CHAR];
+        strcpy(msg, "Error in ReadInputData, failed to open file: ");
+        perror(strcat(msg, fileName));
+        exit(EXIT_FAILURE);
+    }
+
+    int lineNr = 0;
+    int currentC = 0;
+    char line[MAX_CHAR];
+
+    fgets(line, MAX_CHAR, fp);
+    GoInt nIndCol = CountCols(strdup(line));
+    *indHead = strdup(trim(line)); //, nIndCol * 2 - 1);
+    #ifdef DEBUG
+        printf("Independent Variables %d\n", nIndCol);
+    #endif
+
+    fgets(line, MAX_CHAR, fp);
+    GoInt nDepCol = CountCols(strdup(line));
+    *depHead = strdup(trim(line)); //, nDepCol * 2 - 1);
+    #ifdef DEBUG
+        printf("Dependent Variables %d\n", nDepCol);
+    #endif
+
+    *nCol = nDepCol + nIndCol;
+    if(nDepCol < 0 || nIndCol < 0) {
+        perror("There must be at least one independent and one dependent colum!\n");
+        exit(EXIT_FAILURE);
+    }
+
+    GoFloat64 *values = NULL;
+    while(fgets(line, MAX_CHAR, fp)) {
+        trim(line);
+        currentC = 0;
+        values = (GoFloat64 *) realloc(values, (lineNr + 1) * (*nCol) * sizeof(GoFloat64));        
+        if(values == NULL) {
+            perror("Out of memory!\n");
+        }
+        char *partial = strtok(line, " ");
+        while(partial != NULL) {
+            GoFloat64 value = 0;
+            value = strtod(partial, NULL);
+            int pos = lineNr * (*nCol) + currentC;
+            values[pos] = (GoFloat64) value;
+            #ifdef DEBUG
+                printf("Value (%d, %d) %d: %f\n", lineNr, currentC, pos, values[pos]);
+            #endif        
+            currentC++;
+            partial = strtok(NULL, " ");
+        }
+        lineNr++;
+    }
+    *nEntries = lineNr;
+    fclose(fp);
+    return values;
+}
+
+//Print Test / Train data
+void PrintInputData(double *values, int nEntries, int nCols) {
+    for(int i = 0; i < nEntries; i++) {     //Rows
+        for(int j = 0; j < nCols; j++) {    //Cols
+            int pos = i * nCols + j;
+            printf("Value (%d, %d) %d: %f\n", i, j, pos, values[pos]);
+        }
+    }
+}
+
+GoInt* CreateUseableVars(long n) {
+	GoInt *data = malloc(sizeof(GoInt) * n);
+    for(GoInt i = 0; i < n; i++) {
+        data[i] = i;
+    }
+	return data;
+}
+
+int isTreeSetting(char *key) {
+    if(strcmp(key, "roots") == 0 || strcmp(key, "nodes") == 0 || strcmp(key, "nontrig") == 0 || strcmp(key, "leafs") == 0) {
+        return 1;
+    }
+    return 0;
+}
+
+char* MergeArgs(char **values, int nValues) {
+    char margs[MAX_CHAR] = "\0";
+    for(int i = 0; i < nValues; i++) {
+        strcat(margs, lowerCase(values[i]));
+        if(i + 1 < nValues) {
+            strcat(margs, " ");
+        }
+    }
+    return strdup(margs);
+}
+
+void SetConfValue(char *keySetting, char **values, int nValues) {
+    #ifdef DEBUG
+        for(int i = 0; i < nValues; i++) {
+            printf("Key: %s Nr: %d Value: %s\n", keySetting, i, values[i]);
+        }
+    #endif
+    void *data = NULL;
+    if (strcmp(keySetting, "sorttype") == 0) {
+        data = (GoInt *)malloc(sizeof(GoInt));
+        *((GoInt *)data) = 0;
+        if(strcmp("paretotesterror", lowerCase(values[0])) != 0) {
+            *((GoInt *)data) = 1;
+        }
+    } else if (strcmp(keySetting, "usablevars") == 0) {
+        data = (GoInt *)malloc(sizeof(GoInt));
+        *((GoInt *)data) = nValues;
+    } else if(strcmp(keySetting, "zeroepsilon") == 0 || strcmp(keySetting, "hitratio") == 0) {
+        data = (GoFloat64 *)malloc(sizeof(GoFloat64));
+        *((GoFloat64 *)data) = strtod(values[0], NULL);
+    } else if(isTreeSetting(keySetting) == 1) {
+        data = MergeArgs(values, nValues);
+    } else if(strcmp(keySetting, "problemtype") == 0 || strcmp(keySetting, "name") == 0) {
+        data = strdup(lowerCase(values[0]));
+    } else {    //Integer
+        data = (GoInt *)malloc(sizeof(GoInt));
+        *((GoInt *)data) = strtol(values[0], NULL, 10);
+    }
+    configPrepend(strdup(keySetting), (void *)data);
+}
+
+void ReadConfigFile(char *filePath) {
+    FILE *fp;
+    fp = fopen(filePath, "r");
+    if (fp == NULL) {
+        perror("Error in ReadConfigFile, failed to open file\n");
+        exit(EXIT_FAILURE);
+    }
+    char line[MAX_CHAR];
+    fgets(line, MAX_CHAR, fp);
+
+    while(fgets(line, MAX_CHAR, fp)) {
+        trim(line);
+        char *partial = strtok(line, " ");
+        int currentPart = 0;
+        char keySetting[MAX_CHAR] = "\0";
+        int valid = 0;
+        char **values = NULL;
+        int nValues = 0;
+        while(partial != NULL) {
+            trim(partial);
+            if(strlen(partial) > 0 && partial[0] == '#') {
+                break;
+            }
+            if(strlen(partial) > 0) { 
+                if(currentPart == 0) {                  //Name / Key
+                    sscanf(partial, "%s", keySetting);
+                } else if(currentPart == 1) {           //Eq char
+                    if(strlen(keySetting) > 0) {
+                        valid = 1;
+                    }
+                } else {                                //Value
+                    values = (char **) realloc(values, (nValues + 1) * MAX_CHAR * sizeof(char));
+                    values[nValues] = partial;
+                    nValues++;
+                }
+                currentPart++;
+            }
+            partial = strtok(NULL, " ");
+        }
+        if(valid == 1) {
+            SetConfValue(lowerCase(keySetting), values, nValues);
+        }
+    }
+}
+
+void RunTest(GoFloat64 *TrainData, int nTrainEntries, int nTrainCols, GoFloat64 *TestData, int nTestEntries, int nTestCols, char *depHeadTrain, char *indepHeadTrain, char *depHeadTest, char *indepHeadTest) {
+    putenv("GOGC=off");
+	putenv("GODEBUG=cgocheck=0");
+	putenv("CGO_ENABLED=1");
+    #ifdef DEBUG
+        putenv("PGEDEBUG=1");
+        printf("%s %s %s %s", indepHeadTest, indepHeadTrain, depHeadTest, depHeadTrain);
+    #endif
+    fflush(stdout);
+
+    AddTestData(indepHeadTest, depHeadTest, TestData, nTestEntries);
+	AddTrainData(indepHeadTrain, depHeadTrain, TrainData, nTrainEntries);
+    printf("Added Train- and Testdata\n");
+
+    GoInt MaxGen = *((GoInt *)configGet("maxgen"));
+    GoInt PgeRptEpoch = *((GoInt *)configGet("pgerptepoch")); 
+    GoInt PgeRptCount = *((GoInt *)configGet("pgerptcount"));
+    GoInt PgeArchiveCap = *((GoInt *)configGet("pgearchivecap"));
+    GoInt PeelCnt = *((GoInt *)configGet("peelcnt"));
+    GoInt EvalrCount = *((GoInt *)configGet("evalcnt"));
+    GoInt SortType = *((GoInt *)configGet("sorttype"));
+    GoFloat64 ZeroEpsilon = *((GoFloat64 *)configGet("zeroepsilon"));
+    char *InitMethod = (char *)configGet("initmethod");
+    char *GrowMethod = (char *)configGet("growmethod");
+    
+    #ifdef DEBUG
+        printf("1: %d 2: %d 3: %d 4: %d 5: %d 6: %d 7: %d 8: %lf 9: %s 10: %s\n", 
+        MaxGen, PgeRptEpoch, PgeRptCount, PgeArchiveCap, PeelCnt, EvalrCount, SortType, ZeroEpsilon, InitMethod, GrowMethod);
+    #endif
+
+    InitSearch(MaxGen, PgeRptEpoch, PgeRptCount, PgeArchiveCap, PeelCnt, EvalrCount, ZeroEpsilon, InitMethod, GrowMethod, SortType);
+    printf("Initialized Search\n");
+    fflush(stdout);
+
+    GoInt MaxSize = *((GoInt *)configGet("maxsize"));
+    GoInt MinSize = *((GoInt *)configGet("minsize")); 
+    GoInt MaxDepth = *((GoInt *)configGet("maxdepth"));
+    GoInt MinDepth = *((GoInt *)configGet("mindepth"));
+    char *Roots = (char *)configGet("roots");
+    char *Nodes = (char *)configGet("nodes");
+    char *NonTrig = (char *)configGet("nontrig");
+    char *Leafs = (char *)configGet("leafs");
+    GoInt nUsableVars = *((GoInt *)configGet("usablevars"));
+
+    #ifdef DEBUG
+        printf("1: %d 2: %d 3: %d 4: %d 5: %s 6: %s 7: %s 8: %s 9: %d\n", MaxSize, MinSize, MaxDepth, MinDepth, Roots, Nodes, NonTrig, Leafs, nUsableVars);
+    #endif
+
+    InitTreeParams(Roots, Nodes, NonTrig, Leafs, nUsableVars, MaxSize, MinSize, MaxDepth, MinDepth);
+	printf("Initialized TreeParams\n");
+    fflush(stdout);
+
+    GoInt MaxIter = *((GoInt *)configGet("maxiter"));
+    GoInt SearchVar = *((GoInt *)configGet("searchvar"));
+    GoFloat64 HitRatio = *((GoFloat64 *)configGet("hitratio"));
+    GoInt NumProcs = *((GoInt *)configGet("numprocs"));
+    char *Name = (char *)configGet("name");
+	char *ProblemType = (char *)configGet("problemtype");
+	
+    #ifdef DEBUG
+        printf("1: %d 2: %d 3: %lf 4: %d 5: %s 6: %s\n", MaxIter, SearchVar, HitRatio, NumProcs, Name, ProblemType);
+    #endif
+
+    InitProblem(Name, MaxIter, HitRatio, SearchVar, ProblemType, NumProcs);
+    printf("Initialized Problem\n");
+    fflush(stdout);
+
+    for (int fs1 = 1; fs1 <= MaxIter; fs1++) {		
+		printf("******************************** StepW: %d **********************************\n", fs1);
+		GoInt nresults = StepW();
+
+		for (int ires = 0; ires < nresults; ires++) {
+			GoInt testscore = 0;
+			GoInt ncoeff = 0;
+			
+			char* stepRes = GetStepResult(&testscore, &ncoeff);
+			GoFloat64 *coeff = (GoFloat64 *)malloc(nUsableVars * sizeof(GoFloat64));
+			
+			for(int icoeff = 0; icoeff < nUsableVars; icoeff++) {
+				coeff[icoeff] = 0;
+			}
+			printf("C: push/pop (%d,%d) %s\n", fs1, ires, stepRes);
+            printf("C: TestScore %d\n", testscore);
+			for(int icoeff = 0; icoeff < ncoeff; icoeff++){
+				GoFloat64 coeffVal = GetCoeffResult();
+				printf("C: coeff vals: %f\n", coeffVal);
+			}
+		}
+		fflush(stdout);
+	}
+}
+
+//TODO: Dynamic overwrite
+void ParseArgs(int argc, char *argv[], char** problemName, char **initMethod, char **growMethod, GoInt *nPeel, GoInt *nEvals, GoInt *maxIter) {
+    if(argc < 2 ){
+        printf("Usage: %s ProblemName [-evals=3] [-peel=3] [-iter=200] [-init=method1] [-grow=method1]\n\n", argv[0]);
+        printf("Using default Problem: %s\n", *problemName);
+        perror("Missing required argument 1: ProblemName, eg. Pagie_1, Korns_02\n");
+    } else {
+        *problemName = strdup(argv[1]);
+        for(int i = 2; i < argc; i++) {
+            if(strcmp(argv[i], "--help") == 0 || strcmp(argv[i], "-h") == 0 || strcmp(argv[1], "--help") == 0 || strcmp(argv[1], "-h") == 0) {
+                printf("Usage: %s ProblemName [-evals=3] [-peel=3] [-iter=200] [-init=method1] [-grow=method1]\n\n" , argv[0]);
+                exit(EXIT_SUCCESS);
+            } else if(strncmp(argv[i], "-evals", 6) == 0) {
+                sscanf(argv[i], "-evals=%ld", nEvals);
+            } else if(strncmp(argv[i], "-peel", 5) == 0) {
+                sscanf(argv[i], "-peel=%ld", nPeel);
+            } else if(strncmp(argv[i], "-iter", 5) == 0) {
+                sscanf(argv[i], "-iter=%ld", maxIter);
+            } else if(strncmp(argv[i], "-init", 5) == 0) {
+                sscanf(argv[i], "-init=%s", *initMethod);
+            } else if(strncmp(argv[i], "-grow", 5) == 0) {
+                sscanf(argv[i], "-grow=%s", *growMethod);
+            } else {
+                char msg[MAX_CHAR];
+                strcpy(msg, "Unkown argument: ");
+                perror(strcat(msg, argv[i]));
+            }
+        }
+    }
+}
+
+int main(int argc, char *argv[]) {
+    char *problemName = strdup("Pagie_1");
+    GoInt *nEvals = malloc(sizeof(GoInt));
+    GoInt *nPeel = malloc(sizeof(GoInt));
+    GoInt *maxIter = malloc(sizeof(GoInt));
+    GoInt *numProcs = malloc(sizeof(GoInt));
+    *nEvals = 3;
+    *nPeel = 3;
+    *maxIter = 200;
+    *numProcs = 12;
+    char *initMethod = strdup("method1");
+    char *growMethod = strdup("method1");
+    ParseArgs(argc, argv, &problemName, &initMethod, &growMethod, nPeel, nEvals, maxIter);
+
+    printf("MaxIter: %ld\n", *maxIter);
+    printf("Evals: %ld\n", *nEvals);
+    printf("InitMethod: %s\n", initMethod);
+
+    //* Testdata
+    char tstPath[MAX_CHAR] = "data/benchmark/";
+    strcat(tstPath, problemName);
+    strcat(tstPath, ".tst");
+
+    printf("TestFile %s\n", tstPath);
+    GoInt nTestEntries = 0;
+    GoInt nTestCols = 0;
+    char *TestDepHead, *TestIndHead;
+    GoFloat64 *TestData = ReadInputData(tstPath, &nTestEntries, &nTestCols, &TestDepHead, &TestIndHead);
+    printf("TestData: Entries %ld, Colums %ld\n", nTestEntries, nTestCols);
+    #ifdef DEBUG
+        PrintInputData(TestData, nTestEntries, nTestCols);
+    #endif
+
+    //* Traindata
+    char trnPath[MAX_CHAR] = "data/benchmark/";
+    strcat(trnPath, problemName);
+    strcat(trnPath, ".trn");
+
+    printf("TrainFile %s\n", trnPath);
+    GoInt nTrainEntries = 0;
+    GoInt nTrainCols = 0;
+    char *TrainDepHead, *TrainIndHead;
+    GoFloat64 *TrainData = ReadInputData(trnPath, &nTrainEntries, &nTrainCols, &TrainDepHead, &TrainIndHead);
+    printf("TrainData: Entries %ld, Colums %ld\n", nTrainEntries, nTrainCols);
+    #ifdef DEBUG
+        PrintInputData(TrainData, nTrainEntries, nTrainCols);
+    #endif
+
+    //* Configfiles
+    char defaultConfPath[] = "config/pge/pge_default.cfg";
+    printf("Default Config Path %s\n", defaultConfPath);
+    ReadConfigFile(defaultConfPath);
+
+    char confPath[MAX_CHAR] = "config/prob/bench/";
+    strcat(confPath, problemName);
+    strcat(confPath, ".cfg");
+    printf("Config Path %s\n", confPath);
+    ReadConfigFile(confPath);
+
+    configPrint();
+    #ifdef DEBUG
+        configPrint();
+    #endif
+
+    //Overwrite with args
+    configPrepend(strdup("growmethod"), growMethod);
+    configPrepend(strdup("initmethod"), initMethod);
+    configPrepend(strdup("evalcnt"), nEvals);
+    configPrepend(strdup("peelcnt"), nPeel);
+    configPrepend(strdup("maxiter"), maxIter);
+    configPrepend(strdup("name"), problemName);
+    configPrepend(strdup("numprocs"), numProcs);
+
+    //* RunPGE
+    RunTest(TrainData, nTrainEntries, nTrainCols, TestData, nTestEntries, nTestCols, TrainDepHead, TrainIndHead, TestDepHead, TestIndHead);
+
+    //* Dispose
+    free(TestData);
+    TestData = NULL;
+
+    free(TrainData);
+    TrainData = NULL;
+
+    configDispose();
+
+    return EXIT_SUCCESS;
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/LICENSE.md
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/LICENSE.md	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/LICENSE.md	(revision 16620)
@@ -0,0 +1,27 @@
+Copyright (c) 2013 Tony Worm. All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are
+met:
+
+   * Redistributions of source code must retain the above copyright
+notice, this list of conditions and the following disclaimer.
+   * Redistributions in binary form must reproduce the above
+copyright notice, this list of conditions and the following disclaimer
+in the documentation and/or other materials provided with the
+distribution.
+   * Neither the name of Tony Worm nor the names of its
+contributors may be used to endorse or promote products derived from
+this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/README.md
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/README.md	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/README.md	(revision 16620)
@@ -0,0 +1,132 @@
+
+Symbolic Expressions (just math for now)
+========================================
+ - represetation: as an AST tree
+ - manipulation: add,rm, simplify, derivative
+ - evaluation: explicit, RK4 integration, non-linear regression via levmar->MINPACK
+ - printing: String() print, prettyprint, serialization
+
+``` go
+type exprType int
+
+const (
+	NULL      exprType = iota
+	CONSTANT           // indexed constant, useful for regression tasks
+	CONSTANTF          // floating point constant
+	TIME               // useful when looking at time series and RK4 integration
+	SYSTEM             // i use this like a variable that changes between experiments, but not with time (mass,size,etc.)
+	VAR                // a canonical variable
+
+	NEG
+	ABS
+	SQRT
+	SIN
+	COS
+	TAN
+	EXP
+	LOG
+	POWI // Expr^Integer
+	POWF // Expr^Float
+
+	POWE // Expr^Expr
+	DIV
+
+	ADD // these can have more than two child nodes
+	MUL // this eases simplification
+
+	EXPR_MAX
+	STARTVAR // for serialization reduction of variables
+)
+
+// Expr is the interface to all node types for the AST of mathematical expression
+// 
+
+type Expr interface {
+
+	// types.go (this file)
+	ExprType() exprType
+	Clone() Expr
+
+	// stats.go
+	Size() int
+	Depth() int
+	Height() int
+	NumChildren() int
+	CalcExprStats(currDepth int) (mySize int)
+
+	// compare.go
+	AmILess(rhs Expr) bool
+	AmIEqual(rhs Expr) bool
+	AmISame(rhs Expr) bool       // equality without coefficient values/index
+	AmIAlmostSame(rhs Expr) bool // adds flexibility to mul comparison to AmISame
+	Sort()
+
+	// has.go
+	HasVar() bool
+	HasVarI(i int) bool
+	NumVar() int
+
+	// DFS for a floating point valued ConstantF
+	HasConst() bool
+	// DFS for a indexed valued Constant
+	HasConstI(i int) bool
+	// Counts the number of indexed Constant nodes
+	NumConstants() int
+
+	// convert.go
+
+	// Converts indexed Constant nodes to ConstantF nodes
+	// using the input slice as the values for replacement 
+	ConvertToConstantFs(cs []float64) Expr
+	// DFS converting float valued constants to indexed constants
+	// the input should be an empty slice
+	// the output is an appended slice the size = |ConstantF| in the tree
+	ConvertToConstants(cs []float64) ([]float64, Expr)
+	//   IndexConstants( ci int ) int
+
+	// getset.go   
+	// DFS retrieval of a node by index
+	GetExpr(pos *int) Expr
+	// DFS replacement of a node and it's subtree
+	// replaced is used to discontinue the DFS after replacement
+	// replace_me gets triggered when pos == 0 and informs the parent node to replace the respective child node
+	SetExpr(pos *int, e Expr) (replace_me, replaced bool)
+
+	// print.go
+
+	// prints the AST 
+	String() string
+
+	// creates an integer representation of the AST in ~prefix notation
+	// The input is an empty slice, output is the representation.
+	// The output is generally the ExprType integer value
+	// Associative operators (+ & *) also include the number of children.
+	// The terminal nodes include the index when appropriate.
+	Serial([]int) []int
+
+	// Pretty print acts like String, but replaces the internal indexed
+	// formatting with user specified strings and values
+	PrettyPrint(dnames, snames []string, cvals []float64) string
+	// 	WriteString( buf *bytes.Buffer )
+
+	// eval.go
+	// Evaluates an expression at one point
+	// t is a time value
+	// x are the input Var values
+	// c are the indexed Constant values
+	// s are the indexed System values
+	// the output is the result of DFS evaluation
+	Eval(t float64, x, c, s []float64) float64
+
+	// simp.go
+	Simplify(rules SimpRules) Expr
+
+	// deriv.go
+	// Calculate the derivative w.r.t. Var_i
+	DerivVar(i int) Expr
+	// Calculate the derivative w.r.t. Constant_i
+	DerivConst(i int) Expr
+}
+```
+
+Tony Worm  Sept, 2012
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/compare.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/compare.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/compare.go	(revision 16620)
@@ -0,0 +1,562 @@
+package symexpr
+
+import (
+	"sort"
+
+	// "fmt"
+)
+
+func (n *Time) AmILess(r Expr) bool       { return TIME < r.ExprType() }
+func (n *Time) AmIEqual(r Expr) bool      { return r.ExprType() == TIME }
+func (n *Time) AmISame(r Expr) bool       { return r.ExprType() == TIME }
+func (n *Time) AmIAlmostSame(r Expr) bool { return r.ExprType() == TIME }
+func (n *Time) Sort()                     { return }
+
+func (v *Var) AmILess(r Expr) bool {
+	if VAR < r.ExprType() {
+		return true
+	}
+	if VAR > r.ExprType() {
+		return false
+	}
+	return v.P < r.(*Var).P
+}
+func (v *Var) AmIEqual(r Expr) bool      { return r.ExprType() == VAR && r.(*Var).P == v.P }
+func (v *Var) AmISame(r Expr) bool       { return r.ExprType() == VAR && r.(*Var).P == v.P }
+func (v *Var) AmIAlmostSame(r Expr) bool { return r.ExprType() == VAR && r.(*Var).P == v.P }
+func (v *Var) Sort()                     { return }
+
+func (c *Constant) AmILess(r Expr) bool {
+	if CONSTANT < r.ExprType() {
+		return true
+	}
+	if CONSTANT > r.ExprType() {
+		return false
+	}
+	return c.P < r.(*Constant).P
+}
+func (c *Constant) AmIEqual(r Expr) bool      { return r.ExprType() == CONSTANT && r.(*Constant).P == c.P }
+func (c *Constant) AmISame(r Expr) bool       { return r.ExprType() == CONSTANT }
+func (c *Constant) AmIAlmostSame(r Expr) bool { return r.ExprType() == CONSTANT }
+func (c *Constant) Sort()                     { return }
+
+func (c *ConstantF) AmILess(r Expr) bool {
+	if CONSTANTF < r.ExprType() {
+		return true
+	}
+	if CONSTANTF > r.ExprType() {
+		return false
+	}
+	return c.F < r.(*ConstantF).F
+}
+func (c *ConstantF) AmIEqual(r Expr) bool {
+	return r.ExprType() == CONSTANTF && r.(*ConstantF).F == c.F
+}
+func (c *ConstantF) AmISame(r Expr) bool       { return r.ExprType() == CONSTANTF }
+func (c *ConstantF) AmIAlmostSame(r Expr) bool { return r.ExprType() == CONSTANTF }
+func (c *ConstantF) Sort()                     { return }
+
+func (s *System) AmILess(r Expr) bool {
+	if SYSTEM < r.ExprType() {
+		return true
+	}
+	if SYSTEM > r.ExprType() {
+		return false
+	}
+	return s.P < r.(*System).P
+}
+func (s *System) AmIEqual(r Expr) bool      { return r.ExprType() == SYSTEM && r.(*System).P == s.P }
+func (s *System) AmISame(r Expr) bool       { return r.ExprType() == SYSTEM && r.(*System).P == s.P }
+func (s *System) AmIAlmostSame(r Expr) bool { return r.ExprType() == SYSTEM && r.(*System).P == s.P }
+func (s *System) Sort()                     { return }
+
+func (u *Neg) AmILess(r Expr) bool {
+	if NEG < r.ExprType() {
+		return true
+	}
+	if NEG > r.ExprType() {
+		return false
+	}
+	return u.C.AmILess(r.(*Neg).C)
+}
+func (u *Neg) AmIEqual(r Expr) bool { return r.ExprType() == NEG && u.C.AmIEqual(r.(*Neg).C) }
+func (u *Neg) AmISame(r Expr) bool  { return r.ExprType() == NEG && u.C.AmISame(r.(*Neg).C) }
+func (u *Neg) AmIAlmostSame(r Expr) bool {
+	return r.ExprType() == NEG && u.C.AmIAlmostSame(r.(*Neg).C)
+}
+func (u *Neg) Sort() { u.C.Sort() }
+
+func (u *Abs) AmILess(r Expr) bool {
+	if ABS < r.ExprType() {
+		return true
+	}
+	if ABS > r.ExprType() {
+		return false
+	}
+	return u.C.AmILess(r.(*Abs).C)
+}
+func (u *Abs) AmIEqual(r Expr) bool { return r.ExprType() == ABS && u.C.AmIEqual(r.(*Abs).C) }
+func (u *Abs) AmISame(r Expr) bool  { return r.ExprType() == ABS && u.C.AmISame(r.(*Abs).C) }
+func (u *Abs) AmIAlmostSame(r Expr) bool {
+	return r.ExprType() == ABS && u.C.AmIAlmostSame(r.(*Abs).C)
+}
+func (u *Abs) Sort() { u.C.Sort() }
+
+func (u *Sqrt) AmILess(r Expr) bool {
+	if SQRT < r.ExprType() {
+		return true
+	}
+	if SQRT > r.ExprType() {
+		return false
+	}
+	return u.C.AmILess(r.(*Sqrt).C)
+}
+func (u *Sqrt) AmIEqual(r Expr) bool { return r.ExprType() == SQRT && u.C.AmIEqual(r.(*Sqrt).C) }
+func (u *Sqrt) AmISame(r Expr) bool  { return r.ExprType() == SQRT && u.C.AmISame(r.(*Sqrt).C) }
+func (u *Sqrt) AmIAlmostSame(r Expr) bool {
+	return r.ExprType() == SQRT && u.C.AmIAlmostSame(r.(*Sqrt).C)
+}
+func (u *Sqrt) Sort() { u.C.Sort() }
+
+func (u *Sin) AmILess(r Expr) bool {
+	if SIN < r.ExprType() {
+		return true
+	}
+	if SIN > r.ExprType() {
+		return false
+	}
+	return u.C.AmILess(r.(*Sin).C)
+}
+func (u *Sin) AmIEqual(r Expr) bool { return r.ExprType() == SIN && u.C.AmIEqual(r.(*Sin).C) }
+func (u *Sin) AmISame(r Expr) bool  { return r.ExprType() == SIN && u.C.AmISame(r.(*Sin).C) }
+func (u *Sin) AmIAlmostSame(r Expr) bool {
+	return r.ExprType() == SIN && u.C.AmIAlmostSame(r.(*Sin).C)
+}
+func (u *Sin) Sort() { u.C.Sort() }
+
+func (u *Cos) AmILess(r Expr) bool {
+	if COS < r.ExprType() {
+		return true
+	}
+	if COS > r.ExprType() {
+		return false
+	}
+	return u.C.AmILess(r.(*Cos).C)
+}
+func (u *Cos) AmIEqual(r Expr) bool { return r.ExprType() == COS && u.C.AmIEqual(r.(*Cos).C) }
+func (u *Cos) AmISame(r Expr) bool  { return r.ExprType() == COS && u.C.AmISame(r.(*Cos).C) }
+func (u *Cos) AmIAlmostSame(r Expr) bool {
+	return r.ExprType() == COS && u.C.AmIAlmostSame(r.(*Cos).C)
+}
+func (u *Cos) Sort() { u.C.Sort() }
+
+func (u *Tan) AmILess(r Expr) bool {
+	if TAN < r.ExprType() {
+		return true
+	}
+	if TAN > r.ExprType() {
+		return false
+	}
+	return u.C.AmILess(r.(*Tan).C)
+}
+func (u *Tan) AmIEqual(r Expr) bool { return r.ExprType() == TAN && u.C.AmIEqual(r.(*Tan).C) }
+func (u *Tan) AmISame(r Expr) bool  { return r.ExprType() == TAN && u.C.AmISame(r.(*Tan).C) }
+func (u *Tan) AmIAlmostSame(r Expr) bool {
+	return r.ExprType() == TAN && u.C.AmIAlmostSame(r.(*Tan).C)
+}
+func (u *Tan) Sort() { u.C.Sort() }
+
+func (u *Exp) AmILess(r Expr) bool {
+	if EXP < r.ExprType() {
+		return true
+	}
+	if EXP > r.ExprType() {
+		return false
+	}
+	return u.C.AmILess(r.(*Exp).C)
+}
+func (u *Exp) AmIEqual(r Expr) bool { return r.ExprType() == EXP && u.C.AmIEqual(r.(*Exp).C) }
+func (u *Exp) AmISame(r Expr) bool  { return r.ExprType() == EXP && u.C.AmISame(r.(*Exp).C) }
+func (u *Exp) AmIAlmostSame(r Expr) bool {
+	return r.ExprType() == EXP && u.C.AmIAlmostSame(r.(*Exp).C)
+}
+func (u *Exp) Sort() { u.C.Sort() }
+
+func (u *Log) AmILess(r Expr) bool {
+	if LOG < r.ExprType() {
+		return true
+	}
+	if LOG > r.ExprType() {
+		return false
+	}
+	return u.C.AmILess(r.(*Log).C)
+}
+func (u *Log) AmIEqual(r Expr) bool { return r.ExprType() == LOG && u.C.AmIEqual(r.(*Log).C) }
+func (u *Log) AmISame(r Expr) bool  { return r.ExprType() == LOG && u.C.AmISame(r.(*Log).C) }
+func (u *Log) AmIAlmostSame(r Expr) bool {
+	return r.ExprType() == LOG && u.C.AmIAlmostSame(r.(*Log).C)
+}
+func (u *Log) Sort() { u.C.Sort() }
+
+func (u *PowI) AmILess(r Expr) bool {
+	if POWI < r.ExprType() {
+		return true
+	}
+	if POWI > r.ExprType() {
+		return false
+	}
+	if u.Base.AmILess(r.(*PowI).Base) {
+		return true
+	}
+	if r.(*PowI).Base.AmILess(u.Base) {
+		return false
+	}
+	return u.Power < r.(*PowI).Power
+}
+func (u *PowI) AmIEqual(r Expr) bool {
+	return r.ExprType() == POWI && r.(*PowI).Power == u.Power && u.Base.AmIEqual(r.(*PowI).Base)
+}
+func (u *PowI) AmISame(r Expr) bool {
+	return r.ExprType() == POWI && r.(*PowI).Power == u.Power && u.Base.AmISame(r.(*PowI).Base)
+}
+func (u *PowI) AmIAlmostSame(r Expr) bool {
+	return r.ExprType() == POWI && r.(*PowI).Power == u.Power && u.Base.AmIAlmostSame(r.(*PowI).Base)
+}
+func (u *PowI) Sort() { u.Base.Sort() }
+
+func (u *PowF) AmILess(r Expr) bool {
+	if POWF < r.ExprType() {
+		return true
+	}
+	if POWF > r.ExprType() {
+		return false
+	}
+	if u.Base.AmILess(r.(*PowF).Base) {
+		return true
+	}
+	if r.(*PowF).Base.AmILess(u.Base) {
+		return false
+	}
+	return u.Power < r.(*PowF).Power
+}
+func (u *PowF) AmIEqual(r Expr) bool {
+	return r.ExprType() == POWF && r.(*PowF).Power == u.Power && u.Base.AmIEqual(r.(*PowF).Base)
+}
+func (u *PowF) AmISame(r Expr) bool {
+	return r.ExprType() == POWF && r.(*PowF).Power == u.Power && u.Base.AmISame(r.(*PowF).Base)
+}
+func (u *PowF) AmIAlmostSame(r Expr) bool {
+	return r.ExprType() == POWF && r.(*PowF).Power == u.Power && u.Base.AmIAlmostSame(r.(*PowF).Base)
+}
+func (u *PowF) Sort() { u.Base.Sort() }
+
+func (n *PowE) AmILess(r Expr) bool {
+	if POWE < r.ExprType() {
+		return true
+	}
+	if POWE > r.ExprType() {
+		return false
+	}
+	if n.Base.AmILess(r.(*PowE).Base) {
+		return true
+	}
+	if r.(*PowE).Base.AmILess(n.Base) {
+		return false
+	}
+	return n.Power.AmILess(r.(*PowE).Power)
+}
+func (n *PowE) AmIEqual(r Expr) bool {
+	return r.ExprType() == POWE && n.Base.AmIEqual(r.(*PowE).Base) && n.Power.AmIEqual(r.(*PowE).Power)
+}
+func (n *PowE) AmISame(r Expr) bool {
+	return r.ExprType() == POWE && n.Base.AmISame(r.(*PowE).Base) && n.Power.AmISame(r.(*PowE).Power)
+}
+func (n *PowE) AmIAlmostSame(r Expr) bool {
+	return r.ExprType() == POWE && n.Base.AmIAlmostSame(r.(*PowE).Base) && n.Power.AmIAlmostSame(r.(*PowE).Power)
+}
+func (n *PowE) Sort() { n.Base.Sort(); n.Power.Sort() }
+
+func (n *Div) AmILess(r Expr) bool {
+	if r == nil {
+		return false
+	}
+	if DIV < r.ExprType() {
+		return true
+	}
+	if DIV > r.ExprType() {
+		return false
+	}
+	rp := r.(*Div)
+	if n.Numer.AmILess(rp.Numer) {
+		return true
+	}
+	if rp.Numer.AmILess(n.Numer) {
+		return false
+	}
+	return n.Denom.AmILess(r.(*Div).Denom)
+}
+func (n *Div) AmIEqual(r Expr) bool {
+	if r == nil || r.ExprType() != DIV {
+		return false
+	}
+	rp := r.(*Div)
+	if (n.Numer != nil && rp.Numer == nil) || (n.Numer == nil && rp.Numer != nil) {
+		return false
+	}
+	if (n.Denom != nil && rp.Denom == nil) || (n.Denom == nil && rp.Denom != nil) {
+		return false
+	}
+	return r.ExprType() == DIV && n.Numer.AmIEqual(rp.Numer) && rp.Denom.AmIEqual(rp.Denom)
+}
+func (n *Div) AmISame(r Expr) bool {
+	if r == nil || r.ExprType() != DIV {
+		return false
+	}
+	rp := r.(*Div)
+	if (n.Numer != nil && rp.Numer == nil) || (n.Numer == nil && rp.Numer != nil) {
+		return false
+	}
+	if (n.Denom != nil && rp.Denom == nil) || (n.Denom == nil && rp.Denom != nil) {
+		return false
+	}
+	return r.ExprType() == DIV && n.Numer.AmISame(rp.Numer) && n.Denom.AmISame(rp.Denom)
+}
+func (n *Div) AmIAlmostSame(r Expr) bool {
+	if r == nil || r.ExprType() != DIV {
+		return false
+	}
+	rp := r.(*Div)
+	if (n.Numer != nil && rp.Numer == nil) || (n.Numer == nil && rp.Numer != nil) {
+		return false
+	}
+	if (n.Denom != nil && rp.Denom == nil) || (n.Denom == nil && rp.Denom != nil) {
+		return false
+	}
+	return r.ExprType() == DIV && n.Numer.AmIAlmostSame(rp.Numer) && n.Denom.AmIAlmostSame(rp.Denom)
+}
+func (n *Div) Sort() {
+	if n.Numer != nil {
+		n.Numer.Sort()
+	}
+	if n.Denom != nil {
+		n.Denom.Sort()
+	}
+}
+
+func (n *Add) AmILess(r Expr) bool {
+	if ADD < r.ExprType() {
+		return true
+	}
+	if ADD > r.ExprType() {
+		return false
+	}
+	m := r.(*Add)
+	ln := len(n.CS)
+	lm := len(m.CS)
+	if ln < lm {
+		return true
+	}
+	if lm < ln {
+		return false
+	}
+	for i, C := range n.CS {
+		if C.AmILess(m.CS[i]) {
+			return true
+		}
+		if m.CS[i].AmILess(C) {
+			return false
+		}
+	}
+	return false
+}
+func (n *Add) AmIEqual(r Expr) bool {
+	if r.ExprType() != ADD {
+		return false
+	}
+	m := r.(*Add)
+	if len(n.CS) != len(m.CS) {
+		return false
+	}
+	for i, C := range n.CS {
+		if !C.AmIEqual(m.CS[i]) {
+			return false
+		}
+		//     if m.CS[i].AmILess( C ) { return false }
+	}
+	return true
+}
+func (n *Add) AmISame(r Expr) bool {
+	if r.ExprType() != ADD {
+		return false
+	}
+	m := r.(*Add)
+	if len(n.CS) != len(m.CS) {
+		return false
+	}
+	for i, C := range n.CS {
+		if !C.AmISame(m.CS[i]) {
+			return false
+		}
+		//     if m.CS[i].AmILess( C ) { return false }
+	}
+	return true
+}
+func (n *Add) AmIAlmostSame(r Expr) bool {
+	if r.ExprType() != ADD {
+		return false
+	}
+	m := r.(*Add)
+	if len(n.CS) != len(m.CS) {
+		return false
+	}
+	same := true
+	for i, C := range n.CS {
+		if !C.AmIAlmostSame(m.CS[i]) {
+			return false
+		}
+	}
+	return same
+}
+func (n *Add) Sort() {
+	for _, C := range n.CS {
+		if C != nil {
+			C.Sort()
+		}
+	}
+	sort.Sort(ExprArray(n.CS))
+	i := len(n.CS) - 1
+	for i >= 0 && n.CS[i] == nil {
+		n.CS = n.CS[:i]
+		i = len(n.CS) - 1
+	}
+	return
+}
+
+func (n *Mul) AmILess(r Expr) bool {
+	if r.ExprType() != MUL {
+		if len(n.CS) == 2 {
+			if n.CS[0].ExprType() == CONSTANT && n.CS[1].AmISame(r) {
+				return true
+			}
+			if n.CS[0].ExprType() == CONSTANTF && n.CS[1].AmISame(r) {
+				return true
+			}
+		}
+		return false
+	}
+	m := r.(*Mul)
+	ln, lm := len(n.CS), len(m.CS)
+	sn, sm := 0, 0
+	if n.CS[0].ExprType() == CONSTANT || n.CS[0].ExprType() == CONSTANTF {
+		sn++
+	}
+	if m.CS[0].ExprType() == CONSTANT || m.CS[0].ExprType() == CONSTANTF {
+		sm++
+	}
+
+	if ln-sn != lm-sm {
+		return ln-sn < lm-sm
+	}
+	for i, j := sn, sm; i < ln && j < lm; {
+		if n.CS[i].AmILess(m.CS[j]) {
+			return true
+		}
+		if m.CS[j].AmILess(n.CS[i]) {
+			return false
+		}
+		i++
+		j++
+	}
+	return false
+}
+
+func (n *Mul) AmIEqual(r Expr) bool {
+	if r.ExprType() != MUL {
+		return false
+	}
+	m := r.(*Mul)
+	if len(n.CS) != len(m.CS) {
+		return false
+	}
+	for i, C := range n.CS {
+		if !C.AmIEqual(m.CS[i]) {
+			return false
+		}
+		//     if m.CS[i].AmILess( C ) { return false }
+	}
+	return true
+}
+
+func (n *Mul) AmISame(r Expr) bool {
+	if r.ExprType() != MUL {
+		return false
+	}
+	m := r.(*Mul)
+	if len(n.CS) != len(m.CS) {
+		return false
+	}
+	for i, C := range n.CS {
+		if !C.AmISame(m.CS[i]) {
+			return false
+		}
+		//     if m.CS[i].AmILess( C ) { return false }
+	}
+	return true
+}
+
+func (n *Mul) AmIAlmostSame(r Expr) bool {
+	if r.ExprType() != MUL {
+		// fmt.Printf("~MUL:  %v  %v\n", n, r)
+		if len(n.CS) == 2 {
+			if n.CS[0].ExprType() == CONSTANT && n.CS[1].AmIAlmostSame(r) {
+				return true
+			}
+			if n.CS[0].ExprType() == CONSTANTF && n.CS[1].AmIAlmostSame(r) {
+				return true
+			}
+		}
+		return false
+	}
+	// fmt.Printf("MUL:  %v  %v\n", n, r)
+
+	m := r.(*Mul)
+	ln, lm := len(n.CS), len(m.CS)
+	sn, sm := 0, 0
+	if n.CS[0].ExprType() == CONSTANT || n.CS[0].ExprType() == CONSTANTF {
+		sn++
+	}
+	if m.CS[0].ExprType() == CONSTANT || m.CS[0].ExprType() == CONSTANTF {
+		sm++
+	}
+	// fmt.Printf("lens: %d %d %d %d\n", sn, ln, sm, lm)
+
+	if ln-sn != lm-sm {
+		return false
+	}
+	for i, j := sn, sm; i < ln && j < lm; {
+		// fmt.Printf("COMPARE:  %v   %v", n.CS[i], m.CS[j])
+		if !n.CS[i].AmIAlmostSame(m.CS[j]) {
+			// fmt.Println("SAME")
+			return false
+		}
+		i++
+		j++
+	}
+	// fmt.Printf("\n")
+	return true
+}
+
+func (n *Mul) Sort() {
+	for _, C := range n.CS {
+		if C != nil {
+			C.Sort()
+		}
+	}
+	sort.Sort(ExprArray(n.CS))
+	i := len(n.CS) - 1
+	for i >= 0 && n.CS[i] == nil {
+		n.CS = n.CS[:i]
+		i = len(n.CS) - 1
+	}
+	return
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/convert.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/convert.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/convert.go	(revision 16620)
@@ -0,0 +1,226 @@
+package symexpr
+
+
+
+func (n *Time) ConvertToConstantFs( cs []float64 ) Expr     { return n }
+func (v *Var) ConvertToConstantFs( cs []float64 ) Expr      { return v }
+func (c *Constant) ConvertToConstantFs( cs []float64 ) Expr { return &ConstantF{F: cs[c.P]} }
+func (c *ConstantF) ConvertToConstantFs( cs []float64 ) Expr { return c }
+func (s *System) ConvertToConstantFs( cs []float64 ) Expr   { return s }
+
+func (u *Neg) ConvertToConstantFs( cs []float64 ) Expr     {
+  e := u.C.ConvertToConstantFs(cs)
+  if u.C != e {
+    u.C = e
+  }
+  return u
+}
+func (u *Abs) ConvertToConstantFs( cs []float64 ) Expr     {
+  e := u.C.ConvertToConstantFs(cs)
+  if u.C != e {
+    u.C = e
+  }
+  return u
+}
+func (u *Sqrt) ConvertToConstantFs( cs []float64 ) Expr    {
+  e := u.C.ConvertToConstantFs(cs)
+  if u.C != e {
+    u.C = e
+  }
+  return u
+}
+func (u *Sin) ConvertToConstantFs( cs []float64 ) Expr     {
+  e := u.C.ConvertToConstantFs(cs)
+  if u.C != e {
+    u.C = e
+  }
+  return u
+}
+func (u *Cos) ConvertToConstantFs( cs []float64 ) Expr     {
+  e := u.C.ConvertToConstantFs(cs)
+  if u.C != e {
+    u.C = e
+  }
+  return u
+}
+func (u *Tan) ConvertToConstantFs( cs []float64 ) Expr     {
+  e := u.C.ConvertToConstantFs(cs)
+  if u.C != e {
+    u.C = e
+  }
+  return u
+}
+func (u *Exp) ConvertToConstantFs( cs []float64 ) Expr     {
+  e := u.C.ConvertToConstantFs(cs)
+  if u.C != e {
+    u.C = e
+  }
+  return u
+}
+func (u *Log) ConvertToConstantFs( cs []float64 ) Expr     {
+  e := u.C.ConvertToConstantFs(cs)
+  if u.C != e {
+    u.C = e
+  }
+  return u
+}
+func (u *PowI) ConvertToConstantFs( cs []float64 ) Expr    {
+  e := u.Base.ConvertToConstantFs(cs)
+  if u.Base != e {
+    u.Base = e
+  }
+  return u
+}
+func (u *PowF) ConvertToConstantFs( cs []float64 ) Expr    {
+  e := u.Base.ConvertToConstantFs(cs)
+  if u.Base != e {
+    u.Base = e
+  }
+  return u
+}
+
+func (n *Add) ConvertToConstantFs( cs []float64 ) Expr      {
+  for i,_ := range n.CS {
+    if n.CS[i] != nil {
+      e := n.CS[i].ConvertToConstantFs(cs)
+      if n.CS[i] != e {
+        n.CS[i] = e
+      }
+    }
+  }
+  return n
+}
+
+func (n *Mul) ConvertToConstantFs( cs []float64 ) Expr      {
+  for i,_ := range n.CS {
+    if n.CS[i] != nil {
+      e := n.CS[i].ConvertToConstantFs(cs)
+      if n.CS[i] != e {
+        n.CS[i] = e
+      }
+    }
+  }
+  return n
+}
+
+func (n *Div) ConvertToConstantFs( cs []float64 ) Expr      {
+  e1,e2 := n.Numer.ConvertToConstantFs(cs), n.Denom.ConvertToConstantFs(cs)
+  if n.Numer != e1 { n.Numer = e1 }
+  if n.Denom != e2 { n.Denom = e2 }
+  return n
+
+}
+func (n *PowE) ConvertToConstantFs( cs []float64 ) Expr     {
+  e1,e2 := n.Base.ConvertToConstantFs(cs), n.Power.ConvertToConstantFs(cs)
+  if n.Base != e1 { n.Base = e1 }
+  if n.Power != e2 { n.Power = e2 }
+  return n
+}
+
+
+
+
+
+
+func (n *Time) ConvertToConstants( cs []float64 ) ( []float64, Expr )     { return cs,n }
+func (v *Var) ConvertToConstants( cs []float64 ) ( []float64, Expr )      { return cs,v }
+func (c *Constant) ConvertToConstants( cs []float64 ) ( []float64, Expr ) {
+  c.P = len(cs)
+  return append(cs,float64(c.P)),c
+}
+func (c *ConstantF) ConvertToConstants( cs []float64 ) ( []float64, Expr ) {
+  C := &Constant{P:len(cs)}
+  return append(cs,c.F),C
+}
+func (s *System) ConvertToConstants( cs []float64 ) ( []float64, Expr )   { return cs,s }
+
+func (u *Neg) ConvertToConstants( cs []float64 ) ( []float64, Expr )     {
+  css,e := u.C.ConvertToConstants(cs)
+  if u.C != e { u.C = e }
+  return css,u
+}
+func (u *Abs) ConvertToConstants( cs []float64 ) ( []float64, Expr )     {
+  css,e := u.C.ConvertToConstants(cs)
+  if u.C != e { u.C = e }
+  return css,u
+}
+func (u *Sqrt) ConvertToConstants( cs []float64 ) ( []float64, Expr )    {
+  css,e := u.C.ConvertToConstants(cs)
+  if u.C != e { u.C = e }
+  return css,u
+}
+func (u *Sin) ConvertToConstants( cs []float64 ) ( []float64, Expr )     {
+  css,e := u.C.ConvertToConstants(cs)
+  if u.C != e { u.C = e }
+  return css,u
+}
+func (u *Cos) ConvertToConstants( cs []float64 ) ( []float64, Expr )     {
+  css,e := u.C.ConvertToConstants(cs)
+  if u.C != e { u.C = e }
+  return css,u
+}
+func (u *Tan) ConvertToConstants( cs []float64 ) ( []float64, Expr )     {
+  css,e := u.C.ConvertToConstants(cs)
+  if u.C != e { u.C = e }
+  return css,u
+}
+func (u *Exp) ConvertToConstants( cs []float64 ) ( []float64, Expr )     {
+  css,e := u.C.ConvertToConstants(cs)
+  if u.C != e { u.C = e }
+  return css,u
+}
+func (u *Log) ConvertToConstants( cs []float64 ) ( []float64, Expr )     {
+  css,e := u.C.ConvertToConstants(cs)
+  if u.C != e { u.C = e }
+  return css,u
+}
+func (u *PowI) ConvertToConstants( cs []float64 ) ( []float64, Expr )    {
+  css,e := u.Base.ConvertToConstants(cs)
+  if u.Base != e { u.Base = e }
+  return css,u
+}
+func (u *PowF) ConvertToConstants( cs []float64 ) ( []float64, Expr )    {
+  css,e := u.Base.ConvertToConstants(cs)
+  if u.Base != e { u.Base = e }
+  return css,u
+}
+
+func (n *Add) ConvertToConstants( cs []float64 ) ( []float64, Expr )      {
+  for i,_ := range n.CS {
+    if n.CS[i] != nil {
+      var e Expr
+      cs,e = n.CS[i].ConvertToConstants(cs)
+      if n.CS[i] != e { n.CS[i] = e }
+    }
+  }
+  return cs,n
+}
+
+
+func (n *Mul) ConvertToConstants( cs []float64 ) ( []float64, Expr )      {
+  for i,_ := range n.CS {
+    if n.CS[i] != nil {
+      var e Expr
+      cs,e = n.CS[i].ConvertToConstants(cs)
+      if n.CS[i] != e { n.CS[i] = e }
+    }
+  }
+  return cs,n
+}
+
+func (n *Div) ConvertToConstants( cs []float64 ) ( []float64, Expr )      {
+  var e Expr
+  cs,e = n.Numer.ConvertToConstants(cs)
+  if n.Numer != e { n.Numer = e }
+  cs,e = n.Denom.ConvertToConstants(cs)
+  if n.Denom != e { n.Denom = e }
+  return cs,n
+}
+func (n *PowE) ConvertToConstants( cs []float64 ) ( []float64, Expr )     {
+  var e Expr
+  cs,e = n.Base.ConvertToConstants(cs)
+  if n.Base != e { n.Base = e }
+  cs,e = n.Power.ConvertToConstants(cs)
+  if n.Power != e { n.Power = e }
+  return cs,n
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/deriv.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/deriv.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/deriv.go	(revision 16620)
@@ -0,0 +1,366 @@
+package symexpr
+
+
+
+func (l *Leaf) DerivVar( i int) Expr     { return NewConstantF(0.0) }
+func (l *Leaf) DerivConst( i int) Expr  { return NewConstantF(0.0) }
+
+func (u *Unary) DerivVar( i int ) Expr { return nil }
+func (u *Unary) DerivConst( i int ) Expr { return nil }
+
+func (n *N_ary) DerivVar( i int ) Expr { return nil }
+func (n *N_ary) DerivConst( i int ) Expr { return nil }
+
+
+func (v *Var) DerivVar( i int) Expr      {
+  var f float64
+  if v.P == i { f = 1.0 }
+  return NewConstantF(f)
+}
+
+
+func (u *Neg) DerivVar( i int) Expr    { return NewNeg(u.C.DerivVar(i)) }
+func (u *Abs) DerivVar( i int) Expr    { return NewAbs(u.C.DerivVar(i)) }
+func (u *Sqrt) DerivVar( i int) Expr     { return NewPowF(u.C.Clone(),0.5).DerivVar(i) }
+func (u *Sin) DerivVar( i int) Expr    {
+  if u.C.HasVarI(i) {
+    c := NewCos(u.C.Clone())
+    g := u.C.DerivVar(i)
+    m := NewMul()
+    m.Insert(g)
+    m.Insert(c)
+    return m
+  }
+  return NewConstantF(0.0)
+}
+func (u *Cos) DerivVar( i int) Expr    {
+  if u.C.HasVarI(i) {
+    n := NewNeg(NewSin(u.C.Clone()))
+    g := u.C.DerivVar(i)
+    m := NewMul()
+    m.Insert(g)
+    m.Insert(n)
+    return m
+  }
+  return NewConstantF(0.0)
+}
+func (u *Tan) DerivVar( i int) Expr    {
+  if u.C.HasVarI(i) {
+    n := u.C.DerivVar(i)
+    d := NewPowI(NewCos(u.C.Clone()),2)
+    return NewDiv(n,d)
+  }
+  return NewConstantF(0.0)
+}
+func (u *Exp) DerivVar( i int) Expr    {
+  if u.C.HasVarI(i) {
+    e := u.Clone()
+    g := u.C.DerivVar(i)
+    m := NewMul()
+    m.Insert(g)
+    m.Insert(e)
+    return m
+  }
+  return NewConstantF(0.0)
+}
+func (u *Log) DerivVar( i int) Expr    {
+  if u.C.HasVarI(i) {
+    var d Div
+    d.Numer = u.C.DerivVar(i)
+    d.Denom = u.C.Clone()
+    return &d
+  }
+  return NewConstantF(0.0)
+}
+func (u *PowI) DerivVar( i int) Expr     {
+  if u.Base.HasVarI(i) {
+    p := NewPowI(u.Base.Clone(),u.Power-1.0)
+    c := &ConstantF{F: float64(u.Power)}
+    g := u.Base.DerivVar(i)
+    m := NewMul()
+    m.Insert(c)
+    m.Insert(g)
+    m.Insert(p)
+    return m
+  }
+  return NewConstantF(0.0)
+}
+func (u *PowF) DerivVar( i int) Expr     {
+  if u.Base.HasVarI(i) {
+    p := NewPowF(u.Base.Clone(),u.Power-1.0)
+    c := &ConstantF{F: u.Power}
+    g := u.Base.DerivVar(i)
+    m := NewMul()
+    m.Insert(c)
+    m.Insert(g)
+    m.Insert(p)
+    return m
+  }
+  return NewConstantF(0.0)
+}
+
+func (n *Add) DerivVar( i int) Expr      {
+  if n.HasVarI(i) {
+    a := NewAdd()
+    for _,C := range n.CS {
+      if C == nil { continue }
+      if C.HasVarI(i) {
+        a.Insert( C.DerivVar(i) )
+      }
+    }
+    if len(a.CS) > 0 {
+      return a
+    }
+  }
+  return NewConstantF(0.0)
+}
+func (n *Mul) DerivVar( i int) Expr      {
+  if n.HasVarI(i) {
+    a := NewAdd()
+    for j,J := range n.CS {
+      if J == nil { continue }
+      if J.HasVarI(i) {
+        m := NewMul()
+        for I,C := range n.CS {
+          if C == nil { continue }
+//           fmt.Printf( "%d,%d  %v\n", j,I, C)
+          if j==I {
+            m.Insert( C.DerivVar(i) )
+          } else {
+            m.Insert( C.Clone() )
+          }
+        }
+        a.Insert(m)
+      }
+
+    }
+    if len(a.CS) > 0 {
+      return a
+    }
+  }
+  return NewConstantF(0.0)
+}
+func (n *Div) DerivVar( i int) Expr      {
+  if n.HasVarI(i) {
+    d := new(Div)
+
+    a := NewAdd()
+    m1 := NewMul()
+    m1.Insert(n.Numer.DerivVar(i))
+    m1.Insert(n.Denom.Clone())
+    m2 := NewMul()
+    m2.Insert(NewConstantF(-1.0))
+    m2.Insert(n.Numer.Clone())
+    m2.Insert(n.Denom.DerivVar(i))
+    a.Insert(m1)
+    a.Insert(m2)
+    d.Numer = a
+
+    p2 := NewPowI(n.Denom.Clone(),2)
+    d.Denom = p2
+    return d
+  }
+  return NewConstantF(0.0)
+}
+
+// TODO TODO TODO fix me and the next one
+func (n *PowE) DerivVar( i int) Expr     {
+  if n.HasVarI(i) {
+    a := NewAdd()
+
+    m1 := NewMul()
+    m1.Insert(n.Base.DerivVar(i))
+    m1.Insert(n.Power.Clone())
+
+    // ???
+    p1 := new(PowE)
+    p1.Base = n.Base.Clone()
+    // ???
+    a1 := NewAdd()
+    a1.Insert(n.Power.Clone())
+    a1.Insert(NewConstantF(-1.0))
+
+    m2 := NewMul()
+    m2.Insert(n.Power.DerivVar(i))
+    m2.Insert(n.Clone())
+    m2.Insert(NewLog(n.Base.Clone()))
+
+    a.Insert(m1)
+    a.Insert(m2)
+
+
+  }
+  return NewConstantF(0.0)
+}
+
+
+
+
+
+
+func (c *Constant) DerivConst( i int) Expr {
+  var f float64
+  if c.P == i { f = 1.0 }
+  return NewConstantF(f)
+}
+
+
+func (u *Neg) DerivConst( i int) Expr    { return NewNeg(u.C.DerivConst(i)) }
+func (u *Abs) DerivConst( i int) Expr    { return NewAbs(u.C.DerivConst(i)) }
+func (u *Sqrt) DerivConst( i int) Expr     { return (NewPowF(u.C.Clone(),0.5)).DerivConst(i) }
+func (u *Sin) DerivConst( i int) Expr    {
+  if u.C.HasConstI(i) {
+    c := NewCos(u.C.Clone())
+    g := u.C.DerivConst(i)
+    m := NewMul()
+    m.Insert(g)
+    m.Insert(c)
+    return m
+  }
+  return NewConstantF(0.0)
+}
+func (u *Cos) DerivConst( i int) Expr    {
+  if u.C.HasConstI(i) {
+    n := NewNeg(NewSin(u.C.Clone()))
+    g := u.C.DerivConst(i)
+    m := NewMul()
+    m.Insert(g)
+    m.Insert(n)
+    return m
+  }
+  return NewConstantF(0.0)
+}
+func (u *Exp) DerivConst( i int) Expr    {
+  if u.C.HasConstI(i) {
+    e := u.Clone()
+    g := u.C.DerivConst(i)
+    m := NewMul()
+    m.Insert(g)
+    m.Insert(e)
+    return m
+  }
+  return NewConstantF(0.0)
+}
+func (u *Log) DerivConst( i int) Expr    {
+  if u.C.HasConstI(i) {
+    return NewDiv(u.C.DerivConst(i),u.C.Clone())
+  }
+  return NewConstantF(0.0)
+}
+func (u *PowI) DerivConst( i int) Expr     {
+  if u.Base.HasConstI(i) {
+    p := NewPowI(u.Base.Clone(),u.Power-1)
+    c := &ConstantF{F: float64(u.Power)}
+    g := u.Base.DerivConst(i)
+    m := NewMul()
+    m.Insert(c)
+    m.Insert(g)
+    m.Insert(p)
+    return m
+  }
+  return NewConstantF(0.0)
+}
+func (u *PowF) DerivConst( i int) Expr     {
+  if u.Base.HasVarI(i) {
+    p := NewPowF(u.Base.Clone(),u.Power-1.0)
+    c := NewConstantF(u.Power)
+    g := u.Base.DerivConst(i)
+    m := NewMul()
+    m.Insert(c)
+    m.Insert(g)
+    m.Insert(p)
+    return m
+  }
+  return NewConstantF(0.0)
+}
+
+func (n *Add) DerivConst( i int) Expr      {
+  if n.HasConstI(i) {
+    a := NewAdd()
+    for _,C := range n.CS {
+      if C == nil { continue }
+      if C.HasConstI(i) {
+        a.Insert( C.DerivConst(i) )
+      }
+    }
+    if len(a.CS) > 0 {
+      return a
+    }
+  }
+  return NewConstantF(0.0)
+}
+
+func (n *Mul) DerivConst( i int) Expr      {
+  if n.HasConstI(i) {
+    a := NewAdd()
+    for j,J := range n.CS {
+      if J == nil { continue }
+      if J.HasConstI(i) {
+        m := NewMul()
+        for I,C := range n.CS {
+          if C == nil { continue }
+          if j==I {
+            m.Insert( C.DerivConst(i) )
+          } else {
+            m.Insert( C.Clone() )
+          }
+        }
+        a.Insert(m)
+      }
+
+    }
+    if len(a.CS) > 0 {
+      return a
+    }
+  }
+  return NewConstantF(0.0)
+}
+func (n *Div) DerivConst( i int) Expr      {
+  if n.HasConstI(i) {
+    d := new(Div)
+
+    a := NewAdd()
+    m1 := NewMul()
+    m1.Insert(n.Denom.Clone())
+    m1.Insert(n.Numer.DerivConst(i))
+    a.Insert(m1)
+
+    m2 := NewMul()
+    m2.Insert(n.Numer.Clone())
+    m2.Insert(n.Denom.DerivConst(i))
+    n2 := NewNeg(m2)
+    a.Insert(n2)
+
+    d.Numer = a
+
+    p2 := NewPowI(n.Denom.Clone(),2)
+    d.Denom = p2
+    return d
+  }
+  return NewConstantF(0.0)
+}
+func (n *PowE) DerivConst( i int) Expr     {
+  if n.HasConstI(i) {
+    a := NewAdd()
+
+    m1 := NewMul()
+    m1.Insert(n.Base.DerivConst(i))
+    m1.Insert(n.Power.Clone())
+    p1 := new(PowE)
+    p1.Base = n.Base.Clone()
+    a1 := NewAdd()
+    a1.Insert(n.Power.Clone())
+    a1.Insert( NewConstantF(-1.0))
+
+    m2 := NewMul()
+    m2.Insert(n.Power.DerivConst(i))
+    m2.Insert(n.Clone())
+    m2.Insert( NewLog(n.Base.Clone()) )
+
+    a.Insert(m1)
+    a.Insert(m2)
+
+
+  }
+  return NewConstantF(0.0)
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/eval.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/eval.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/eval.go	(revision 16620)
@@ -0,0 +1,163 @@
+package symexpr
+
+import (
+	"fmt"
+	"math"
+)
+
+func (*Time) Eval(t float64, x, c, s []float64) float64 { return t }
+
+func (v *Var) Eval(t float64, x, c, s []float64) float64 { return x[v.P] }
+
+func (cnst *Constant) Eval(t float64, x, c, s []float64) float64 { return c[cnst.P] }
+
+func (cnst *ConstantF) Eval(t float64, x, c, s []float64) float64 { return cnst.F }
+
+func (sys *System) Eval(t float64, x, c, s []float64) float64 { return s[sys.P] }
+
+func (u *Neg) Eval(t float64, x, c, s []float64) float64 {
+	return -1. * u.C.Eval(t, x, c, s)
+}
+
+func (u *Abs) Eval(t float64, x, c, s []float64) float64 {
+	return math.Abs(u.C.Eval(t, x, c, s))
+}
+
+func (u *Sqrt) Eval(t float64, x, c, s []float64) float64 {
+	return math.Sqrt(u.C.Eval(t, x, c, s))
+}
+
+func (u *Sin) Eval(t float64, x, c, s []float64) float64 {
+	return math.Sin(u.C.Eval(t, x, c, s))
+}
+
+func (u *Cos) Eval(t float64, x, c, s []float64) float64 {
+	return math.Cos(u.C.Eval(t, x, c, s))
+}
+
+func (u *Tan) Eval(t float64, x, c, s []float64) float64 {
+	return math.Tan(u.C.Eval(t, x, c, s))
+}
+
+func (u *Exp) Eval(t float64, x, c, s []float64) float64 {
+	return math.Exp(u.C.Eval(t, x, c, s))
+}
+
+func (u *Log) Eval(t float64, x, c, s []float64) float64 {
+	return math.Log(u.C.Eval(t, x, c, s))
+}
+
+func (u *PowI) Eval(t float64, x, c, s []float64) float64 {
+	return math.Pow(u.Base.Eval(t, x, c, s), float64(u.Power))
+}
+
+func (u *PowF) Eval(t float64, x, c, s []float64) float64 {
+	return math.Pow(u.Base.Eval(t, x, c, s), u.Power)
+}
+
+func (n *PowE) Eval(t float64, x, c, s []float64) float64 {
+	return math.Pow(n.Base.Eval(t, x, c, s), n.Power.Eval(t, x, c, s))
+}
+
+func (n *Div) Eval(t float64, x, c, s []float64) float64 {
+	return n.Numer.Eval(t, x, c, s) / n.Denom.Eval(t, x, c, s)
+}
+
+func (n *Add) Eval(t float64, x, c, s []float64) float64 {
+	ret := 0.0
+	for _, C := range n.CS {
+		if C == nil {
+			continue
+		}
+		ret += C.Eval(t, x, c, s)
+	}
+	return ret
+}
+
+func (n *Mul) Eval(t float64, x, c, s []float64) float64 {
+	ret := 1.0
+	for _, C := range n.CS {
+		if C == nil {
+			continue
+		}
+		ret *= C.Eval(t, x, c, s)
+	}
+	return ret
+}
+
+func RK4(eqn []Expr, ti, tj float64, x_in, x_tmp, c, s []float64) (x_out []float64) {
+	var k [32][4]float64
+	L := len(x_in)
+	h := tj - ti
+	for i := 0; i < L; i++ {
+		k[i][0] = eqn[i].Eval(ti, x_in, c, s)
+	}
+	for i := 0; i < L; i++ {
+		x_tmp[i] = x_in[i] + (h * k[i][0] / 2.0)
+	}
+	for i := 0; i < L; i++ {
+		k[i][1] = eqn[i].Eval(ti, x_tmp, c, s)
+	}
+	for i := 0; i < L; i++ {
+		x_tmp[i] = x_in[i] + (h * k[i][1] / 2.0)
+	}
+	for i := 0; i < L; i++ {
+		k[i][2] = eqn[i].Eval(ti, x_tmp, c, s)
+	}
+	for i := 0; i < L; i++ {
+		x_tmp[i] = x_in[i] + (h * k[i][2])
+	}
+	for i := 0; i < L; i++ {
+		k[i][3] = eqn[i].Eval(ti, x_tmp, c, s)
+	}
+	for i := 0; i < L; i++ {
+		x_out[i] = ((k[i][0] + 2.0*k[i][1] + 2.0*k[i][2] + k[i][3]) * (h / 6.0))
+	}
+
+	return
+}
+
+func PRK4(xn int, eqn Expr, ti, tj float64, x_in, x_out, x_tmp, c, s []float64) float64 {
+	var k [4]float64
+	L := len(x_in)
+	h := tj - ti
+	for i := 0; i < L; i++ {
+		mid := (0.5 * (x_out[i] - x_in[i]))
+		x_tmp[i] = x_in[i] + mid
+	}
+	k[0] = eqn.Eval(ti, x_in, c, s)
+	x_tmp[xn] = x_in[xn] + (h * k[0] / 2.0)
+	k[1] = eqn.Eval(ti, x_tmp, c, s)
+	x_tmp[xn] = x_in[xn] + (h * k[1] / 2.0)
+	k[2] = eqn.Eval(ti, x_tmp, c, s)
+	x_tmp[xn] = x_in[xn] + (h * k[2])
+	k[3] = eqn.Eval(ti, x_tmp, c, s)
+	return ((k[0] + 2.0*k[1] + 2.0*k[2] + k[3]) * (h / 6.0))
+}
+
+func PrintPRK4(xn int, eqn Expr, ti, to float64, x_in, x_out, x_tmp, c, s []float64) float64 {
+	var k [4]float64
+	L := len(x_in)
+	h := to - ti
+	for i := 0; i < L; i++ {
+		x_tmp[i] = x_in[i] + (0.5 * (x_out[i] - x_in[i]))
+	}
+	fmt.Printf("in:   %v\n", x_in)
+	fmt.Printf("out:  %v\n", x_out)
+
+	fmt.Printf("tmp:  %v\n", x_tmp)
+	k[0] = eqn.Eval(ti, x_in, c, s)
+	x_tmp[xn] = x_in[xn] + (h * k[0] / 2.0)
+	fmt.Printf("tmp:  %v\n", x_tmp)
+	k[1] = eqn.Eval(ti, x_tmp, c, s)
+	x_tmp[xn] = x_in[xn] + (h * k[1] / 2.0)
+	fmt.Printf("tmp:  %v\n", x_tmp)
+	k[2] = eqn.Eval(ti, x_tmp, c, s)
+	x_tmp[xn] = x_in[xn] + (h * k[2])
+	fmt.Printf("tmp:  %v\n", x_tmp)
+	k[3] = eqn.Eval(ti, x_tmp, c, s)
+	fmt.Printf("k:    %v\n", k)
+	ans := ((k[0] + 2.0*k[1] + 2.0*k[2] + k[3]) * (h / 6.0))
+	fmt.Printf("ans:  %.4f   =>   %.4f\n\n", ans, x_out[xn]-x_in[xn])
+	return ans
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/expr.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/expr.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/expr.go	(revision 16620)
@@ -0,0 +1,328 @@
+// Package symexpr implements symbolic equations as an AST.
+// It aims to provide ease of dynamic manipulation of the tree.
+//
+// This work comes out of my Masters thesis at Binghamton University
+// and is geared towards Symbolic Regression.
+//
+package symexpr
+
+import (
+	"fmt"
+	"math"
+)
+
+type ExprType int
+
+const (
+	NULL ExprType = iota
+
+	STARTLEAF
+	CONSTANT  // indexed constant, useful for non-linear regression tasks
+	CONSTANTF // floating point constant
+	TIME      // useful when looking at time series and RK4 integration
+	SYSTEM    // i use this like a variable that changes between experiments, but not with time (mass,size,etc.)
+	VAR       // a canonical variable
+	LASTLEAF
+
+	STARTFUNC
+	NEG
+	ABS
+	SQRT
+	SIN
+	COS
+	TAN
+	EXP
+	LOG
+	LASTFUNC
+
+	POWI // Expr^Integer
+	POWF // Expr^Float
+	POWE // Expr^Expr
+	DIV  // Expr/Expr
+
+	ADD // these can have more than two child nodes
+	MUL // this eases sorting and simplification
+
+	EXPR_MAX
+	STARTVAR // for serialization reduction of variables
+)
+
+// Expr is the interface to all node types for the AST of mathematical expression
+//
+type Expr interface {
+
+	// types.go (this file)
+	ExprType() ExprType
+	Clone() Expr
+
+	// stats.go
+	Size() int
+	Depth() int
+	Height() int
+	NumChildren() int
+	CalcExprStats()
+	calcExprStatsR(depth int, pos *int)
+
+	// compare.go
+	AmILess(rhs Expr) bool
+	AmIEqual(rhs Expr) bool
+	AmISame(rhs Expr) bool       // equality without coefficient values/index
+	AmIAlmostSame(rhs Expr) bool // adds flexibility to mul comparison to AmISame
+	Sort()
+
+	// has.go
+	HasVar() bool
+	HasVarI(i int) bool
+	NumVar() int
+
+	// DFS for a floating point valued ConstantF
+	HasConst() bool
+	// DFS for a indexed valued Constant
+	HasConstI(i int) bool
+	// Counts the number of indexed Constant nodes
+	NumConstants() int
+
+	// convert.go
+
+	// Converts indexed Constant nodes to ConstantF nodes
+	// using the input slice as the values for replacement
+	ConvertToConstantFs(cs []float64) Expr
+	// DFS converting float valued constants to indexed constants
+	// the input should be an empty slice
+	// the output is an appended slice the size = |ConstantF| in the tree
+	ConvertToConstants(cs []float64) ([]float64, Expr)
+	//   IndexConstants( ci int ) int
+
+	// getset.go
+	// DFS retrieval of a node by index
+	GetExpr(pos *int) Expr
+	// DFS replacement of a node and it's subtree
+	// replaced is used to discontinue the DFS after replacement
+	// replace_me gets triggered when pos == 0 and informs the parent node to replace the respective child node
+	SetExpr(pos *int, e Expr) (replace_me, replaced bool)
+
+	// print.go
+
+	// prints the AST
+	String() string
+
+	// creates an integer representation of the AST in ~prefix notation
+	// The input is an empty slice, output is the representation.
+	// The output is generally the ExprType integer value
+	// Associative operators (+ & *) also include the number of children.
+	// The terminal nodes include the index when appropriate.
+	Serial([]int) []int
+	StackSerial([]int) []int
+
+	// Pretty print acts like String, but replaces the internal indexed
+	// formatting with user specified strings and values
+	PrettyPrint(dnames, snames []string, cvals []float64) string
+	// 	WriteString( buf *bytes.Buffer )
+
+	// Similar to PrettyPrint, but in latex format
+	Latex(dnames, snames []string, cvals []float64) string
+	Javascript(dnames, snames []string, cvals []float64) string
+
+	// eval.go
+	// Evaluates an expression at one point
+	// t is a time value
+	// x are the input Var values
+	// c are the indexed Constant values
+	// s are the indexed System values
+	// the output is the result of DFS evaluation
+	Eval(t float64, x, c, s []float64) float64
+
+	// simp.go
+	Simplify(rules SimpRules) Expr
+
+	// deriv.go
+	// Calculate the derivative w.r.t. Var_i
+	DerivVar(i int) Expr
+	// Calculate the derivative w.r.t. Constant_i
+	DerivConst(i int) Expr
+}
+
+type ExprArray []Expr
+
+func (p ExprArray) Len() int      { return len(p) }
+func (p ExprArray) Swap(i, j int) { p[i], p[j] = p[j], p[i] }
+func (p ExprArray) Less(i, j int) bool {
+	if p[i] == nil && p[j] == nil {
+		return false
+	}
+	if p[i] == nil {
+		return false
+	}
+	if p[j] == nil {
+		return true
+	}
+	return p[i].AmILess(p[j])
+}
+
+// Null Leaf  (shouldn't really appear)
+// This is a sample for the other node types
+type Null struct {
+	ExprStats
+}
+
+func NewNull() *Null               { return new(Null) }
+func (n *Null) ExprType() ExprType { return NULL }
+func (n *Null) Clone() Expr        { return NewNull() }
+
+func (n *Null) CalcExprStats() {
+	n.depth = 1
+	n.height = 1
+	n.size = 1
+	n.pos = 0
+	n.numchld = 0
+}
+func (n *Null) calcExprStatsR(depth int, pos *int) {
+	n.depth = depth + 1
+	n.height = 1
+	n.size = 1
+	n.pos = *pos
+	(*pos)++
+	n.numchld = 0
+}
+
+func (n *Null) AmILess(r Expr) bool       { return NULL < r.ExprType() }
+func (n *Null) AmIEqual(r Expr) bool      { return r.ExprType() == NULL }
+func (n *Null) AmISame(r Expr) bool       { return r.ExprType() == NULL }
+func (n *Null) AmIAlmostSame(r Expr) bool { return r.ExprType() == NULL }
+func (n *Null) Sort()                     { return }
+
+func (n *Null) HasVar() bool         { return false }
+func (n *Null) HasVarI(i int) bool   { return false }
+func (n *Null) NumVar() int          { return 0 }
+func (n *Null) HasConst() bool       { return false }
+func (n *Null) HasConstI(i int) bool { return false }
+func (n *Null) NumConstants() int    { return 0 }
+
+func (n *Null) ConvertToConstantFs(cs []float64) Expr             { return n }
+func (n *Null) ConvertToConstants(cs []float64) ([]float64, Expr) { return cs, n }
+
+func (n *Null) GetExpr(pos *int) Expr {
+	if (*pos) == 0 {
+		return n
+	}
+	(*pos)--
+	return nil
+}
+func (n *Null) SetExpr(pos *int, e Expr) (replace_me, replaced bool) {
+	if (*pos) == 0 {
+		return true, false
+	}
+	(*pos)--
+	return false, false
+}
+
+func (n *Null) String() string                                              { return "NULL" }
+func (n *Null) Serial(sofar []int) []int                                    { return append(sofar, int(NULL)) }
+func (n *Null) StackSerial(sofar []int) []int                               { return append(sofar, int(NULL)) }
+func (n *Null) PrettyPrint(dnames, snames []string, cvals []float64) string { return "NULL" }
+func (n *Null) Latex(dnames, snames []string, cvals []float64) string       { return "NULL" }
+func (n *Null) Javascript(dnames, snames []string, cvals []float64) string  { return "null" }
+
+func (n *Null) Eval(t float64, x, c, s []float64) float64 { return math.NaN() }
+
+func (n *Null) Simplify(rules SimpRules) Expr { return n }
+
+func (n *Null) DerivConst(i int) Expr { return &ConstantF{F: 0} }
+func (n *Null) DerivVar(i int) Expr   { return &ConstantF{F: 0} }
+
+func DumpExprTypes() {
+	fmt.Printf("ExprTypes:\n")
+	fmt.Printf("---------------\n")
+
+	fmt.Printf("NULL:      %d\n", int(NULL))
+
+	fmt.Printf("STARTLEAF: %d\n", int(STARTLEAF))
+	fmt.Printf("CONSTANT:  %d\n", int(CONSTANT))
+	fmt.Printf("TIME:      %d\n", int(TIME))
+	fmt.Printf("SYSTEM:    %d\n", int(SYSTEM))
+	fmt.Printf("VAR:       %d\n", int(VAR))
+	fmt.Printf("LASTLEAF:  %d\n", int(LASTLEAF))
+
+	fmt.Printf("STARTFUNC: %d\n", int(STARTFUNC))
+	fmt.Printf("NEG:       %d\n", int(NEG))
+	fmt.Printf("ABS:       %d\n", int(ABS))
+	fmt.Printf("SQRT:      %d\n", int(SQRT))
+	fmt.Printf("SIN:       %d\n", int(SIN))
+	fmt.Printf("COS:       %d\n", int(COS))
+	fmt.Printf("TAN:       %d\n", int(TAN))
+	fmt.Printf("EXP:       %d\n", int(EXP))
+	fmt.Printf("LOG:       %d\n", int(LOG))
+	fmt.Printf("LASTFUNC:  %d\n", int(LASTFUNC))
+
+	fmt.Printf("POWI:      %d\n", int(POWI))
+	fmt.Printf("POWF:      %d\n", int(POWF))
+	fmt.Printf("POWE:      %d\n", int(POWE))
+	fmt.Printf("DIV:       %d\n", int(DIV))
+
+	fmt.Printf("ADD:       %d\n", int(ADD))
+	fmt.Printf("MUL:       %d\n", int(MUL))
+
+	fmt.Printf("EXPR_MAX:  %d\n", int(EXPR_MAX))
+	fmt.Printf("STARTVAR:  %d\n", int(STARTVAR))
+
+}
+
+func (e ExprType) String() string {
+	switch e {
+	case NULL:
+		return "NULL"
+	case STARTLEAF:
+		return "STARTLEAF"
+	case CONSTANT:
+		return "CONSTANT"
+	case CONSTANTF:
+		return "CONSTANTF"
+	case TIME:
+		return "TIME"
+	case SYSTEM:
+		return "SYSTEM"
+	case VAR:
+		return "VAR"
+	case LASTLEAF:
+		return "LASTLEAF"
+	case STARTFUNC:
+		return "STARTFUNC"
+	case NEG:
+		return "NEG"
+	case ABS:
+		return "ABS"
+	case SQRT:
+		return "SQRT"
+	case SIN:
+		return "SIN"
+	case COS:
+		return "COS"
+	case TAN:
+		return "TAN"
+	case EXP:
+		return "EXP"
+	case LOG:
+		return "LOG"
+	case LASTFUNC:
+		return "LASTFUNC"
+	case POWI:
+		return "POWI"
+	case POWF:
+		return "POWF"
+	case POWE:
+		return "POWE"
+	case DIV:
+		return "DIV"
+	case ADD:
+		return "ADD"
+	case MUL:
+		return "MUL"
+	case EXPR_MAX:
+		return "EXPR_MAX"
+	case STARTVAR:
+		return "STARTVAR"
+	default:
+		return "Unknown ExprType"
+	}
+	return "Unknown ExprType"
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/expr_test.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/expr_test.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/expr_test.go	(revision 16620)
@@ -0,0 +1,145 @@
+package symexpr
+
+import (
+  "testing"
+  
+  "fmt"
+)
+
+
+func Test_Print(t *testing.T) {
+  fmt.Printf( "Testing: Print                " )
+  
+  c := NewConstantF(1.57)
+  s := NewSin(c)
+  t.Logf( "Hello Me!   %v\n", s )
+
+  c.F = 90.0
+  t.Logf( "Hello Me!   %v\n", c )
+  
+  fmt.Printf( "Passed\n" )
+}
+
+
+
+// func TEST() {
+//   A1 := SE.NewAdd()
+//   A2 := SE.NewAdd()
+//
+//   M1 := SE.NewMul()
+//   M2 := SE.NewMul()
+//   M3 := SE.NewMul()
+//
+//   c1 := new(SE.Constant)
+//   c1.P = 0
+//   c2 := new(SE.Constant)
+//   c2.P = 1
+//   c3 := new(SE.Constant)
+//   c3.P = 1
+//
+//   x1 := new(SE.Var)
+//   x1.P = 0
+//   x2 := new(SE.Var)
+//   x2.P = 0
+//
+//   M1.Insert(c1)
+//   M1.Insert(x1)
+//   M2.Insert(c2)
+//   M2.Insert(x2)
+//   M3.Insert(c3)
+//   M3.Insert(x1)
+//
+//   A1.Insert(M1)
+//   A1.Insert(M2)
+//
+//   A2.Insert(M2)
+//   A2.Insert(M3)
+//
+//
+//   m12 := M1.AmIAlmostSame(M2)
+//   m13 := M1.AmIAlmostSame(M3)
+//   m23 := M2.AmIAlmostSame(M3)
+//
+//   fmt.Printf( "m12: %v\n", m12 )
+//   fmt.Printf( "m12: %v\n", m13 )
+//   fmt.Printf( "m12: %v\n", m23 )
+//   fmt.Printf( "\n" )
+//
+//   fmt.Printf( "A1:  %v\n", A1 )
+//   fmt.Printf( "A2:  %v\n", A2 )
+//   A1.Sort()
+//   A2.Sort()
+//   fmt.Printf( "A1:  %v\n", A1 )
+//   fmt.Printf( "A2:  %v\n", A2 )
+// }
+/*
+
+func TestAmIAlmostSame() {
+	var add1,add2,add3,add4 Add
+	add1.CS[0] = &ConstantF{F: 4.20}
+	add1.CS[1] = &Var{P:1}
+	add2.CS[0] = &ConstantF{F: 4.20}
+	add2.CS[1] = &Var{P:1}
+	add3.CS[0] = &ConstantF{F: 4.20}
+	add3.CS[1] = &Var{P:2}
+	add4.CS[0] = &ConstantF{F: -4.20}
+	add4.CS[1] = &Var{P:1}
+
+	var a1,a2,a3,a4 Expr
+	a1,a2,a3,a4 = &add1,&add2,&add3,&add4
+
+	fmt.Printf( "Testing Almost\n\n" )
+
+	fmt.Printf( "a1: %v\na2: %v\na3: %v\na4: %v\n", a1,a2,a3,a4 )
+
+	fmt.Printf( "a1->a2 = %v (true)\n", a1.AmIAlmostSame(a2) )
+	fmt.Printf( "a1->a3 = %v (false)\n", a1.AmIAlmostSame(a3) )
+	fmt.Printf( "a1->a4 = %v (true)\n", a1.AmIAlmostSame(a4) )
+
+}
+
+func testAddSimp(srules SimpRules) {
+  var add,bdd,cdd Add
+  var mul Mul
+  mul.CS[0] = &ConstantF{F: 4.20}
+  mul.CS[1] = &Var{P:1}
+  add.CS[0] = &ConstantF{F: 4.20}
+  add.CS[1] = &cdd
+  add.CS[2] = &bdd
+  add.CS[3] = &mul
+  bdd.CS[0] = &Var{P:1}
+  bdd.CS[1] = &Var{P:0}
+  cdd.CS[0] = &Var{P:1}
+  cdd.CS[1] = &Var{P:1}
+
+  var e Expr
+  e = &add
+//   f = &cdd
+
+  fmt.Printf( "Orig:  %v\n", e )
+  es := e.Simplify( srules )
+  fmt.Printf( "Simp:  %v\n\n\n", es )
+  es.CalcExprStats(0)
+
+/*  for i:= 0; i < es.Size(); i++ {
+    p,q := i,i
+    fmt.Printf( "%v: %v\n", i, es.GetExpr(&p) )
+    et := es.Clone()
+    fmt.Printf( "Orig:  %v\n", et )
+    f := cdd.Clone()
+    eu := SwapExpr( et, f, q )
+    if eu != nil {
+      et = eu
+    } else {
+      fmt.Printf( "nil\n" )
+    }
+    fmt.Printf( "Swap:  %v\n", et )
+    ev := et.Simplify(srules)
+    fmt.Printf( "Simp:  %v\n\n", ev )
+  }*/
+
+
+
+//}*/
+
+
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/getset.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/getset.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/getset.go	(revision 16620)
@@ -0,0 +1,539 @@
+package symexpr
+
+func (n *Time) GetExpr(pos *int) Expr {
+	if (*pos) == 0 {
+		return n
+	}
+	(*pos)--
+	return nil
+}
+func (n *Time) SetExpr(pos *int, e Expr) (replace_me, replaced bool) {
+	if (*pos) == 0 {
+		return true, false
+	}
+	(*pos)--
+	return false, false
+}
+
+func (v *Var) GetExpr(pos *int) Expr {
+	if (*pos) == 0 {
+		return v
+	}
+	(*pos)--
+	return nil
+}
+func (v *Var) SetExpr(pos *int, e Expr) (replace_me, replaced bool) {
+	if (*pos) == 0 {
+		return true, false
+	}
+	(*pos)--
+	return false, false
+}
+
+func (c *Constant) GetExpr(pos *int) Expr {
+	if (*pos) == 0 {
+		return c
+	}
+	(*pos)--
+	return nil
+}
+func (c *Constant) SetExpr(pos *int, e Expr) (replace_me, replaced bool) {
+	if (*pos) == 0 {
+		return true, false
+	}
+	(*pos)--
+	return false, false
+}
+
+func (c *ConstantF) GetExpr(pos *int) Expr {
+	if (*pos) == 0 {
+		return c
+	}
+	(*pos)--
+	return nil
+}
+func (c *ConstantF) SetExpr(pos *int, e Expr) (replace_me, replaced bool) {
+	if (*pos) == 0 {
+		return true, false
+	}
+	(*pos)--
+	return false, false
+}
+
+func (s *System) GetExpr(pos *int) Expr {
+	if (*pos) == 0 {
+		return s
+	}
+	(*pos)--
+	return nil
+}
+func (s *System) SetExpr(pos *int, e Expr) (replace_me, replaced bool) {
+	if (*pos) == 0 {
+		return true, false
+	}
+	(*pos)--
+	return false, false
+}
+
+func (u *Neg) GetExpr(pos *int) Expr {
+	if (*pos) == 0 {
+		return u
+	}
+	(*pos)--
+	return u.C.GetExpr(pos)
+}
+func (u *Neg) SetExpr(pos *int, e Expr) (replace_me, replaced bool) {
+	if (*pos) == 0 {
+		return true, false
+	}
+	(*pos)--
+	if *pos == 0 {
+		u.C = e
+		return false, true
+	}
+	rme, repd := u.C.SetExpr(pos, e)
+	if repd {
+		return false, true
+	}
+	if rme {
+		u.C = e
+		return false, true
+	}
+	return false, repd
+}
+
+func (u *Abs) GetExpr(pos *int) Expr {
+	if (*pos) == 0 {
+		return u
+	}
+	(*pos)--
+	return u.C.GetExpr(pos)
+}
+func (u *Abs) SetExpr(pos *int, e Expr) (replace_me, replaced bool) {
+	if (*pos) == 0 {
+		return true, false
+	}
+	(*pos)--
+	if *pos == 0 {
+		u.C = e
+		return false, true
+	}
+	rme, repd := u.C.SetExpr(pos, e)
+	if repd {
+		return false, true
+	}
+	if rme {
+		u.C = e
+		return false, true
+	}
+	return false, repd
+}
+
+func (u *Sqrt) GetExpr(pos *int) Expr {
+	if (*pos) == 0 {
+		return u
+	}
+	(*pos)--
+	return u.C.GetExpr(pos)
+}
+func (u *Sqrt) SetExpr(pos *int, e Expr) (replace_me, replaced bool) {
+	if (*pos) == 0 {
+		return true, false
+	}
+	(*pos)--
+	if *pos == 0 {
+		u.C = e
+		return false, true
+	}
+	rme, repd := u.C.SetExpr(pos, e)
+	if repd {
+		return false, true
+	}
+	if rme {
+		u.C = e
+		return false, true
+	}
+	return false, repd
+}
+
+func (u *Sin) GetExpr(pos *int) Expr {
+	if (*pos) == 0 {
+		return u
+	}
+	(*pos)--
+	return u.C.GetExpr(pos)
+}
+func (u *Sin) SetExpr(pos *int, e Expr) (replace_me, replaced bool) {
+	if (*pos) == 0 {
+		return true, false
+	}
+	(*pos)--
+	if *pos == 0 {
+		u.C = e
+		return false, true
+	}
+	rme, repd := u.C.SetExpr(pos, e)
+	if repd {
+		return false, true
+	}
+	if rme {
+		u.C = e
+		return false, true
+	}
+	return false, repd
+}
+
+func (u *Cos) GetExpr(pos *int) Expr {
+	if (*pos) == 0 {
+		return u
+	}
+	(*pos)--
+	return u.C.GetExpr(pos)
+}
+func (u *Cos) SetExpr(pos *int, e Expr) (replace_me, replaced bool) {
+	if (*pos) == 0 {
+		return true, false
+	}
+	(*pos)--
+	if *pos == 0 {
+		u.C = e
+		return false, true
+	}
+	rme, repd := u.C.SetExpr(pos, e)
+	if repd {
+		return false, true
+	}
+	if rme {
+		u.C = e
+		return false, true
+	}
+	return false, repd
+}
+
+func (u *Tan) GetExpr(pos *int) Expr {
+	if (*pos) == 0 {
+		return u
+	}
+	(*pos)--
+	return u.C.GetExpr(pos)
+}
+func (u *Tan) SetExpr(pos *int, e Expr) (replace_me, replaced bool) {
+	if (*pos) == 0 {
+		return true, false
+	}
+	(*pos)--
+	if *pos == 0 {
+		u.C = e
+		return false, true
+	}
+	rme, repd := u.C.SetExpr(pos, e)
+	if repd {
+		return false, true
+	}
+	if rme {
+		u.C = e
+		return false, true
+	}
+	return false, repd
+}
+
+func (u *Exp) GetExpr(pos *int) Expr {
+	if (*pos) == 0 {
+		return u
+	}
+	(*pos)--
+	return u.C.GetExpr(pos)
+}
+
+func (u *Log) GetExpr(pos *int) Expr {
+	if (*pos) == 0 {
+		return u
+	}
+	(*pos)--
+	return u.C.GetExpr(pos)
+}
+
+func (u *PowI) GetExpr(pos *int) Expr {
+	if (*pos) == 0 {
+		return u
+	}
+	(*pos)--
+	return u.Base.GetExpr(pos)
+}
+
+func (u *PowF) GetExpr(pos *int) Expr {
+	if (*pos) == 0 {
+		return u
+	}
+	(*pos)--
+	return u.Base.GetExpr(pos)
+}
+
+func (n *PowE) GetExpr(pos *int) Expr {
+	if (*pos) == 0 {
+		return n
+	}
+	(*pos)--
+	tmp := n.Base.GetExpr(pos)
+	if tmp != nil {
+		return tmp
+	}
+	return n.Power.GetExpr(pos)
+}
+
+func (n *Div) GetExpr(pos *int) Expr {
+	if (*pos) == 0 {
+		return n
+	}
+	(*pos)--
+	tmp := n.Numer.GetExpr(pos)
+	if tmp != nil {
+		return tmp
+	}
+	return n.Denom.GetExpr(pos)
+}
+
+func (n *Add) GetExpr(pos *int) Expr {
+	if (*pos) == 0 {
+		return n
+	}
+	(*pos)--
+	for _, C := range n.CS {
+		if C == nil {
+			continue
+		}
+		tmp := C.GetExpr(pos)
+		if tmp != nil {
+			return tmp
+		}
+		if *pos < 0 {
+			return nil
+		}
+	}
+	return nil
+}
+
+func (n *Mul) GetExpr(pos *int) Expr {
+	if (*pos) == 0 {
+		return n
+	}
+	(*pos)--
+	for _, C := range n.CS {
+		if C == nil {
+			continue
+		}
+		tmp := C.GetExpr(pos)
+		if tmp != nil {
+			return tmp
+		}
+		if *pos < 0 {
+			return nil
+		}
+	}
+	return nil
+}
+
+func SwapExpr(orig, newt Expr, pos int) (ret Expr) {
+	//   fmt.Printf( "SWAP orig  %v\n", orig )
+	p := pos
+	//   oldt := orig.GetExpr(&p)
+	//   fmt.Printf( "SWAP (%d)\n%v\n%v\n", pos, oldt, newt )
+	rme, _ := orig.SetExpr(&p, newt)
+	if rme {
+		ret = newt
+	}
+
+	//   fmt.Printf( "SWAP ret  %v\n", ret )
+	return
+}
+
+func (u *Exp) SetExpr(pos *int, e Expr) (replace_me, replaced bool) {
+	if (*pos) == 0 {
+		return true, false
+	}
+	(*pos)--
+	if *pos == 0 {
+		u.C = e
+		return false, true
+	}
+	rme, repd := u.C.SetExpr(pos, e)
+	if repd {
+		return false, true
+	}
+	if rme {
+		u.C = e
+		return false, true
+	}
+	return false, repd
+}
+func (u *Log) SetExpr(pos *int, e Expr) (replace_me, replaced bool) {
+	if (*pos) == 0 {
+		return true, false
+	}
+	(*pos)--
+	if *pos == 0 {
+		u.C = e
+		return false, true
+	}
+	rme, repd := u.C.SetExpr(pos, e)
+	if repd {
+		return false, true
+	}
+	if rme {
+		u.C = e
+		return false, true
+	}
+	return false, repd
+}
+func (u *PowI) SetExpr(pos *int, e Expr) (replace_me, replaced bool) {
+	if (*pos) == 0 {
+		return true, false
+	}
+	(*pos)--
+	if *pos == 0 {
+		u.Base = e
+		return false, true
+	}
+	rme, repd := u.Base.SetExpr(pos, e)
+	if repd {
+		return false, true
+	}
+	if rme {
+		u.Base = e
+		return false, true
+	}
+	return false, repd
+}
+func (u *PowF) SetExpr(pos *int, e Expr) (replace_me, replaced bool) {
+	if (*pos) == 0 {
+		return true, false
+	}
+	(*pos)--
+	if *pos == 0 {
+		u.Base = e
+		return false, true
+	}
+	rme, repd := u.Base.SetExpr(pos, e)
+	if repd {
+		return false, true
+	}
+	if rme {
+		u.Base = e
+		return false, true
+	}
+	return false, repd
+}
+
+func (n *Add) SetExpr(pos *int, e Expr) (replace_me, replaced bool) {
+	if (*pos) == 0 {
+		return true, false
+	}
+	(*pos)--
+	var rme, repd bool
+	for i, C := range n.CS {
+		if C == nil {
+			continue
+		}
+		rme, repd = C.SetExpr(pos, e)
+		if repd {
+			return false, true
+		}
+		if rme {
+			n.CS[i] = e
+			return false, true
+		}
+	}
+	if *pos == 0 {
+		n.CS = append(n.CS, e)
+		return false, true
+	}
+	return false, repd
+}
+
+func (n *Mul) SetExpr(pos *int, e Expr) (replace_me, replaced bool) {
+	if (*pos) == 0 {
+		return true, false
+	}
+	(*pos)--
+	var rme, repd bool
+	for i, C := range n.CS {
+		if C == nil {
+			continue
+		}
+		rme, repd = C.SetExpr(pos, e)
+		if repd {
+			return false, true
+		}
+		if rme {
+			n.CS[i] = e
+			return false, true
+		}
+	}
+	if *pos == 0 {
+		n.CS = append(n.CS, e)
+		return false, true
+	}
+	return false, repd
+}
+func (n *Div) SetExpr(pos *int, e Expr) (replace_me, replaced bool) {
+	if (*pos) == 0 {
+		return true, false
+	}
+	(*pos)--
+	if *pos == 0 {
+		n.Numer = e
+		return false, true
+	}
+	rme, repd := n.Numer.SetExpr(pos, e)
+	if repd {
+		return false, true
+	}
+	if rme {
+		n.Numer = e
+		return false, true
+	}
+	if *pos == 0 {
+		n.Denom = e
+		return false, true
+	}
+	rme, repd = n.Denom.SetExpr(pos, e)
+	if repd {
+		return false, true
+	}
+	if rme {
+		n.Denom = e
+		return false, true
+	}
+	return false, repd
+}
+func (n *PowE) SetExpr(pos *int, e Expr) (replace_me, replaced bool) {
+	if (*pos) == 0 {
+		return true, false
+	}
+	(*pos)--
+	if *pos == 0 {
+		n.Base = e
+		return false, true
+	}
+	rme, repd := n.Base.SetExpr(pos, e)
+	if repd {
+		return false, true
+	}
+	if rme {
+		n.Power = e
+		return false, true
+	}
+	if *pos == 0 {
+		n.Power = e
+		return false, true
+	}
+	rme, repd = n.Power.SetExpr(pos, e)
+	if repd {
+		return false, true
+	}
+	if rme {
+		n.Power = e
+		return false, true
+	}
+	return false, repd
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/has.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/has.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/has.go	(revision 16620)
@@ -0,0 +1,163 @@
+package symexpr
+
+func (l *Leaf) HasVar() bool         { return false }
+func (l *Leaf) HasVarI(i int) bool   { return false }
+func (l *Leaf) NumVar() int          { return 0 }
+func (l *Leaf) HasConst() bool       { return false }
+func (l *Leaf) HasConstI(i int) bool { return false }
+func (l *Leaf) NumConstants() int    { return 0 }
+
+func (u *Unary) HasVar() bool         { return u.C.HasVar() }
+func (u *Unary) HasVarI(i int) bool   { return u.C.HasVarI(i) }
+func (u *Unary) NumVar() int          { return u.C.NumVar() }
+func (u *Unary) HasConst() bool       { return u.C.HasConst() }
+func (u *Unary) HasConstI(i int) bool { return u.C.HasConstI(i) }
+func (u *Unary) NumConstants() int    { return u.C.NumConstants() }
+
+func (n *N_ary) HasVar() bool {
+	for _, C := range n.CS {
+		if C != nil && C.HasVar() {
+			return true
+		}
+	}
+	return false
+}
+func (n *N_ary) HasVarI(i int) bool {
+	for _, C := range n.CS {
+		if C != nil && C.HasVarI(i) {
+			return true
+		}
+	}
+	return false
+}
+func (n *N_ary) NumVar() int {
+	sum := 0
+	for _, C := range n.CS {
+		if C != nil {
+			sum += C.NumVar()
+		}
+	}
+	return sum
+}
+func (n *N_ary) HasConst() bool {
+	for _, C := range n.CS {
+		if C != nil && C.HasConst() {
+			return true
+		}
+	}
+	return false
+}
+func (n *N_ary) HasConstI(i int) bool {
+	for _, C := range n.CS {
+		if C != nil && C.HasConstI(i) {
+			return true
+		}
+	}
+	return false
+}
+func (n *N_ary) NumConstants() int {
+	sum := 0
+	for _, C := range n.CS {
+		if C != nil {
+			sum += C.NumConstants()
+		}
+	}
+	return sum
+}
+
+// Overload specifics
+
+func (v *Var) HasVar() bool       { return true }
+func (v *Var) HasVarI(i int) bool { return v.P == i }
+func (v *Var) NumVar() int        { return 1 }
+
+func (c *Constant) HasConst() bool       { return true }
+func (c *Constant) HasConstI(i int) bool { return c.P == i }
+func (c *Constant) NumConstants() int    { return 1 }
+
+func (c *ConstantF) HasConst() bool       { return false }
+func (c *ConstantF) HasConstI(i int) bool { return false }
+
+// func (c *ConstantF) NumConstants() int      { return 1 }   NOT COUNTING THESE
+
+func (u *PowI) HasVar() bool         { return u.Base.HasVar() }
+func (u *PowI) HasVarI(i int) bool   { return u.Base.HasVarI(i) }
+func (u *PowI) NumVar() int          { return u.Base.NumVar() }
+func (u *PowI) HasConst() bool       { return u.Base.HasConst() }
+func (u *PowI) HasConstI(i int) bool { return u.Base.HasConstI(i) }
+func (u *PowI) NumConstants() int    { return u.Base.NumConstants() }
+
+func (u *PowF) HasVar() bool         { return u.Base.HasVar() }
+func (u *PowF) HasVarI(i int) bool   { return u.Base.HasVarI(i) }
+func (u *PowF) NumVar() int          { return u.Base.NumVar() }
+func (u *PowF) HasConst() bool       { return u.Base.HasConst() }
+func (u *PowF) HasConstI(i int) bool { return u.Base.HasConstI(i) }
+func (u *PowF) NumConstants() int    { return u.Base.NumConstants() }
+
+func (n *PowE) HasVar() bool         { return n.Base.HasVar() || n.Power.HasVar() }
+func (n *PowE) HasVarI(i int) bool   { return n.Base.HasVarI(i) || n.Power.HasVarI(i) }
+func (n *PowE) NumVar() int          { return n.Base.NumVar() + n.Power.NumVar() }
+func (n *PowE) HasConst() bool       { return n.Base.HasConst() || n.Power.HasConst() }
+func (n *PowE) HasConstI(i int) bool { return n.Base.HasConstI(i) || n.Power.HasConstI(i) }
+func (n *PowE) NumConstants() int    { return n.Base.NumConstants() + n.Power.NumConstants() }
+
+func (n *Div) HasVar() bool {
+	ret := false
+	if n.Numer != nil {
+		ret = ret || n.Numer.HasVar()
+	}
+	if n.Denom != nil {
+		ret = ret || n.Denom.HasVar()
+	}
+	return ret
+}
+func (n *Div) HasVarI(i int) bool {
+	ret := false
+	if n.Numer != nil {
+		ret = ret || n.Numer.HasVarI(i)
+	}
+	if n.Denom != nil {
+		ret = ret || n.Denom.HasVarI(i)
+	}
+	return ret
+}
+func (n *Div) NumVar() int {
+	ret := 0
+	if n.Numer != nil {
+		ret = ret + n.Numer.NumVar()
+	}
+	if n.Denom != nil {
+		ret = ret + n.Denom.NumVar()
+	}
+	return ret
+}
+func (n *Div) HasConst() bool {
+	ret := false
+	if n.Numer != nil {
+		ret = ret || n.Numer.HasConst()
+	}
+	if n.Denom != nil {
+		ret = ret || n.Denom.HasConst()
+	}
+	return ret
+}
+func (n *Div) HasConstI(i int) bool {
+	ret := false
+	if n.Numer != nil {
+		ret = ret || n.Numer.HasConstI(i)
+	}
+	if n.Denom != nil {
+		ret = ret || n.Denom.HasConstI(i)
+	}
+	return ret
+}
+func (n *Div) NumConstants() int {
+	ret := 0
+	if n.Numer != nil {
+		ret = ret + n.Numer.NumConstants()
+	}
+	if n.Denom != nil {
+		ret = ret + n.Denom.NumConstants()
+	}
+	return ret
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/lexer.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/lexer.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/lexer.go	(revision 16620)
@@ -0,0 +1,433 @@
+package symexpr
+
+import (
+	"fmt"
+	"strings"
+	"unicode"
+	"unicode/utf8"
+)
+
+func (l *lexer) run() {
+	for state := lexExpr; state != nil; {
+		state = state(l)
+	}
+	l.items <- item{itemEOF, "eof"}
+	close(l.items) // No more tokens will be delivered.
+}
+
+type item struct {
+	typ itemType
+	val string
+}
+
+func (i item) String() string {
+	switch i.typ {
+	case itemEOF:
+		return "EOF"
+	case itemError:
+		return i.val
+	}
+	if len(i.val) > 10 {
+		return fmt.Sprintf("%.10q...", i.val)
+	}
+	return fmt.Sprintf("%d-'%s'", i.typ, i.val)
+}
+
+type itemType int
+
+const (
+	itemNil itemType = iota
+	itemError
+	itemEOF // EOF
+
+	itemAdd    // +
+	itemMul    // *
+	itemDiv    // /
+	itemDiv2   // {...}//{...}
+	itemNeg    // -
+	itemLParen // (
+	itemRParen // )
+	itemLBrack // {
+	itemRBrack // }
+	itemCarrot // ^
+
+	itemNumber
+	itemIndex
+	itemIdentifier // vars,coeffs,funcs
+
+	itemKeyword // placeholder 
+	itemFrac    // \frac
+	itemCDot    // \cdot  (latex multiplication)
+	itemSin
+	itemCos
+	itemTan
+	itemAbs
+	itemSqrt
+	itemExp
+	itemLog
+)
+
+func isLeaf(it itemType) bool {
+	switch it {
+	case itemNumber, itemIdentifier:
+		return true
+	}
+	return false
+}
+func isUnary(it itemType) bool {
+	// switch it {
+	// case itemNeg:
+	// 	return true
+	// }
+	return false
+}
+func isBinary(it itemType) bool {
+	switch it {
+	case itemAdd, itemNeg, itemMul, itemDiv, itemDiv2, itemCarrot:
+		return true
+	}
+	return false
+}
+
+var itemName = map[itemType]string{
+	itemNil:   "nil",
+	itemError: "error",
+	itemEOF:   "EOF",
+
+	itemAdd:    "add",
+	itemMul:    "mul",
+	itemDiv:    "div",
+	itemDiv2:   "div2",
+	itemNeg:    "neg",
+	itemLParen: "lParen",
+	itemRParen: "rParen",
+	itemLBrack: "lBrack",
+	itemRBrack: "rBrack",
+	itemCarrot: "carrot",
+
+	itemNumber:     "number",
+	itemIndex:      "index",
+	itemIdentifier: "identifier",
+
+	// keywords
+	itemCDot: "cdot",
+	itemFrac: "frac",
+	itemSin:  "sin",
+	itemCos:  "cos",
+	itemTan:  "tan",
+	itemAbs:  "abs",
+	itemSqrt: "sqrt",
+	itemExp:  "exp",
+	itemLog:  "ln",
+}
+
+func (i itemType) String() string {
+	s := itemName[i]
+	if s == "" {
+		return fmt.Sprintf("item%d", int(i))
+	}
+	return s
+}
+
+var key = map[string]itemType{
+	"\\cdot": itemCDot,
+	"\\frac": itemFrac,
+	"sin":    itemSin,
+	"Sin":    itemSin,
+	"cos":    itemCos,
+	"Cos":    itemCos,
+	"tan":    itemTan,
+	"Tan":    itemTan,
+	"abs":    itemAbs,
+	"Abs":    itemAbs,
+	"sqrt":   itemSqrt,
+	"Sqrt":   itemSqrt,
+	"e":      itemExp,
+	"exp":    itemExp,
+	"Exp":    itemExp,
+	"ln":     itemLog,
+}
+
+const eof = -1
+
+// stateFn represents the state of the scanner as a function that returns the next state.
+type stateFn func(*lexer) stateFn
+
+// lexer holds the state of the scanner.
+type lexer struct {
+	name      string    // used only for error reports.
+	input     string    // the string being scanned.
+	vars      []string  // allowable variables
+	state     stateFn   // the next lexing function to enter.
+	start     int       // start position of this item.
+	pos       int       // current position in the input.
+	width     int       // width of last rune read from input.
+	items     chan item // channel of scanned items.
+	nextToken item
+}
+
+// next returns the next rune in the input.
+func (l *lexer) next() (r rune) {
+	if l.pos >= len(l.input) {
+		l.width = 0
+		return eof
+	}
+	r, l.width = utf8.DecodeRuneInString(l.input[l.pos:])
+	l.pos += l.width
+	return r
+}
+
+// peek returns but does not consume the next rune in the input.
+func (l *lexer) peek() rune {
+	r := l.next()
+	l.backup()
+	return r
+}
+
+// backup steps back one rune. Can only be called once per call of next.
+func (l *lexer) backup() {
+	l.pos -= l.width
+}
+
+// emit passes an item back to the client.
+func (l *lexer) emit(t itemType) {
+	l.items <- item{t, l.input[l.start:l.pos]}
+	l.start = l.pos
+}
+
+// ignore skips over the pending input before this point.
+func (l *lexer) ignore() {
+	l.start = l.pos
+}
+
+// accept consumes the next rune if it's from the valid set.
+func (l *lexer) accept(valid string) bool {
+	if strings.IndexRune(valid, l.next()) >= 0 {
+		return true
+	}
+	l.backup()
+	return false
+}
+
+// acceptRun consumes a run of runes from the valid set.
+func (l *lexer) acceptRun(valid string) {
+	for strings.IndexRune(valid, l.next()) >= 0 {
+	}
+	l.backup()
+}
+
+// lineNumber reports which line we're on. Doing it this way
+// means we don't have to worry about peek double counting.
+func (l *lexer) lineNumber() int {
+	return 1 + strings.Count(l.input[:l.pos], "\n")
+}
+
+// error returns an error token and terminates the scan by passing
+// back a nil pointer that will be the next state, terminating l.nextItem.
+func (l *lexer) errorf(format string, args ...interface{}) stateFn {
+	l.items <- item{itemError, fmt.Sprintf(format, args...)}
+	return nil
+}
+
+// nextItem returns the next item from the input.
+func (l *lexer) nextItem() item {
+	for {
+		select {
+		case item := <-l.items:
+			return item
+		default:
+			l.state = l.state(l)
+		}
+	}
+	panic("not reached")
+}
+
+// lex creates a new scanner for the input string.
+func lex(name, input string, vars []string) *lexer {
+	l := &lexer{
+		name:  name,
+		input: input,
+		vars:  vars,
+		state: lexExpr,
+		items: make(chan item, 2), // Two items of buffering is sufficient for all state functions
+	}
+	return l
+}
+
+/*****  State Functions  *****/
+
+// lexExpr is the top level scanner
+func lexExpr(l *lexer) stateFn {
+	switch r := l.next(); {
+	case r == eof || r == '\n':
+		return nil
+	case isSpace(r):
+		l.ignore()
+	case r == '+':
+		l.emit(itemAdd)
+		return lexExpr
+	case r == '*':
+		l.emit(itemMul)
+		return lexExpr
+	case r == '^':
+		l.emit(itemCarrot)
+		return lexExpr
+	case r == '/':
+		if l.peek() == '/' {
+			l.emit(itemDiv2)
+		} else {
+			l.emit(itemDiv)
+		}
+		return lexExpr
+	case r == '-':
+		l.emit(itemNeg)
+		return lexExpr
+	case r == '(':
+		l.emit(itemLParen)
+		return lexExpr
+	case r == ')':
+		l.emit(itemRParen)
+		return lexExpr
+	case r == '{':
+		l.emit(itemLBrack)
+		return lexExpr
+	case r == '}':
+		l.emit(itemRBrack)
+		return lexExpr
+	case r == '\\':
+		// l.backup()
+		return lexIdentifier
+	case r == '_':
+		l.ignore()
+		return lexIndex
+	case '0' <= r && r <= '9':
+		l.backup()
+		return lexNumber
+	case isAlphaNumeric(r):
+		l.backup()
+		return lexIdentifier
+	default:
+		return l.errorf("unrecognized character in action: %#U", r)
+	}
+	return lexExpr
+}
+
+// lexIdentifier scans an alphanumeric or field.
+func lexIdentifier(l *lexer) stateFn {
+Loop:
+	for {
+		switch r := l.next(); {
+		case isAlphaNumeric(r):
+			// absorb.
+		case r == '_':
+			// absorb and scanIndex
+			digits := "0123456789"
+			l.acceptRun(digits)
+			l.emit(itemIdentifier)
+			return lexExpr
+		case r == '.' && (l.input[l.start] == '.' || l.input[l.start] == '$'):
+			// field chaining; absorb into one token.
+		default:
+			l.backup()
+			word := l.input[l.start:l.pos]
+			if !l.atTerminator() {
+				return l.errorf("unexpected character %c", r)
+			}
+			switch {
+			case key[word] > itemKeyword:
+				l.emit(key[word])
+			default:
+				l.emit(itemIdentifier)
+			}
+			break Loop
+		}
+	}
+	return lexExpr
+}
+
+// atTerminator reports whether the input is at valid termination character to
+// appear after an identifier. Mostly to catch cases like "$x+2" not being
+// acceptable without a space, in case we decide one day to implement
+// arithmetic.
+func (l *lexer) atTerminator() bool {
+	r := l.peek()
+	if isSpace(r) {
+		return true
+	}
+	switch r {
+	case eof, '+', '-', '(', ')', '{', '}', '/', '*', '^':
+		return true
+	}
+	return false
+}
+
+// lexNumber scans a number: decimal, octal, hex, float, or imaginary.  This
+// isn't a perfect number scanner - for instance it accepts "." and "0x0.2"
+// and "089" - but when it's wrong the input is invalid and the parser (via
+// strconv) will notice.
+func lexNumber(l *lexer) stateFn {
+	if !l.scanNumber() {
+		return l.errorf("bad number syntax: %q", l.input[l.start:l.pos])
+	} else {
+		l.emit(itemNumber)
+	}
+	return lexExpr
+}
+
+func lexIndex(l *lexer) stateFn {
+	if !l.scanIndex() {
+		return l.errorf("bad index syntax: %q", l.input[l.start:l.pos])
+	} else {
+		l.emit(itemIndex)
+	}
+	return lexExpr
+}
+
+func (l *lexer) scanIndex() bool {
+	// Optional leading sign.
+	digits := "0123456789"
+	l.acceptRun(digits)
+
+	// Next thing mustn't be alphanumeric.
+	// if isAlphaNumeric(l.peek()) {
+	// 	l.next()
+	// 	return false
+	// }
+	return true
+}
+
+func (l *lexer) scanNumber() bool {
+	// Optional leading sign.
+	l.accept("+-")
+	digits := "0123456789"
+	l.acceptRun(digits)
+	if l.accept(".") {
+		l.acceptRun(digits)
+	}
+	if l.accept("eE") {
+		l.accept("+-")
+		l.acceptRun("0123456789")
+	}
+	// Is it imaginary?
+	l.accept("i")
+	// Next thing mustn't be alphanumeric.
+	// if isAlphaNumeric(l.peek()) {
+	// 	l.next()
+	// 	return false
+	// }
+	return true
+}
+
+// isSpace reports whether r is a space character.
+func isSpace(r rune) bool {
+	switch r {
+	case ' ', '\t', '\n', '\r':
+		return true
+	}
+	return false
+}
+
+// isAlphaNumeric reports whether r is an alphabetic or digit
+func isAlphaNumeric(r rune) bool {
+	return unicode.IsLetter(r) || unicode.IsDigit(r)
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/lexer_test.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/lexer_test.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/lexer_test.go	(revision 16620)
@@ -0,0 +1,51 @@
+package symexpr
+
+import (
+	"testing"
+
+	"fmt"
+)
+
+/* still getting errors on:
+ * 'strings of identifiers' :: 23,31,32,33,35
+ * 'unimplemented functions(tan,tanh)' :: 28,29,30
+ * '\\SUM...' :: 36,
+ * 'precedence erro ' :: 47,50
+ * 'other' :: 24,25,41
+ */
+
+func Test_Parser(TEST *testing.T) {
+	fmt.Printf("Testing: Parser\n\n")
+
+	// s, e := 0, len(benchmarks)
+	// for i := s; i < e; i++ {
+
+	// 	fmt.Printf("Benchmark: %d\n", i)
+	// 	b := benchmarks[i]
+	// 	fmt.Printf("Input:     %s\n", b.FuncText)
+
+	// 	varNames := make([]string, 0)
+	// 	for _, v := range b.TrainVars {
+	// 		// fmt.Printf("  %v\n", v)
+	// 		varNames = append(varNames, v.Name)
+	// 	}
+
+	// 	expr := ParseFunc(b.FuncText, varNames)
+	// 	fmt.Printf("Result:    %v\n", expr)
+
+	// 	sort := expr.Clone()
+	// 	rules := DefaultRules()
+	// 	rules.GroupAddTerms = false
+	// 	sort = sort.Simplify(rules)
+
+	// 	fmt.Printf("Sorted:    %v\n\n\n", sort)
+
+	// }
+}
+
+/* latest errors: 
+tan,tanh
+
+SUM
+41
+*/
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/parse.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/parse.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/parse.go	(revision 16620)
@@ -0,0 +1,269 @@
+package symexpr
+
+import (
+	"fmt"
+	"math"
+	"strconv"
+	"strings"
+)
+
+func ParseFunc(text string, varNames []string) Expr {
+	expr := parse(text, varNames)
+	return expr
+}
+
+var itemPrec = map[itemType]int{
+	itemAdd:     3,
+	itemNeg:     4,
+	itemMul:     5,
+	itemDiv:     5,
+	itemDiv2:    5,
+	itemKeyword: 6,
+	itemCarrot:  7,
+}
+
+func parse(input string, variables []string) Expr {
+	L := lex("test", input, variables)
+	go L.run()
+
+	// var rules = DefaultRules()
+
+	// fmt.Printf( "Input:     %s\n",input)
+	expr := parseExpr("", L, 0)
+	// fmt.Printf( "Result:    %v\n\n",expr)
+	// simp := expr.Simplify(rules)
+	// fmt.Printf( "Output:    %v\n\n",simp)
+
+	return expr
+}
+
+func parseExpr(prefix string, L *lexer, p int) Expr {
+	// fmt.Printf("%sin-E(%d)\n", prefix, p)
+	e := parsePiece(prefix+"  ", L)
+	// fmt.Printf("%se(%d): %v\n", prefix, p, e)
+	for i := 0; ; i++ {
+		var next item
+		// fmt.Printf("%sLEX: %v\n", prefix, L.nextToken)
+
+		if L.nextToken.typ == itemNil {
+			next = <-L.items
+		} else {
+			next, L.nextToken.typ = L.nextToken, itemNil
+		}
+		// fmt.Printf("%snext(%d-%d): %v\n", prefix, p, i, next)
+		typ := next.typ
+		// fmt.Printf("%sn(%d): %v\n", prefix, p, next)
+		if isBinary(typ) && itemPrec[typ] >= p {
+			// fmt.Printf("%sbin: %v\n", prefix, next)
+			q := itemPrec[typ]
+			e2 := parseExpr(prefix+"  ", L, q)
+			// fmt.Printf("%se2: %v\n", prefix, e2)
+			// fmt.Printf("%snext2(%d-%d): %v\n", prefix, p, i, next2)
+			switch typ {
+			case itemAdd:
+				add := NewAdd()
+				add.Insert(e)
+				add.Insert(e2)
+				e = add
+			case itemMul:
+				mul := NewMul()
+				mul.Insert(e)
+				mul.Insert(e2)
+				e = mul
+			case itemNeg:
+				if e == nil {
+					neg := NewNeg(e2)
+					e = neg
+				} else {
+					add := NewAdd()
+					add.Insert(e)
+					add.Insert(NewNeg(e2))
+					e = add
+				}
+			case itemDiv, itemDiv2:
+				div := NewDiv(e, e2)
+				e = div
+			case itemCarrot:
+				switch e2.ExprType() {
+				case CONSTANTF:
+					pow := NewPowI(e, int(e2.(*ConstantF).F))
+					e = pow
+				default:
+					pow := NewPowE(e, e2)
+					e = pow
+				}
+			}
+			// fmt.Printf("%snew e: %v\n", prefix, e)
+		} else if typ == itemIdentifier && itemPrec[itemMul] >= p {
+			L.nextToken = next
+			e2 := parseExpr(prefix+"  ", L, itemPrec[itemMul])
+			mul := NewMul()
+			mul.Insert(e)
+			mul.Insert(e2)
+			e = mul
+			// fmt.Printf("%sid-e: %v\ne2: %v\n", prefix, e, e2)
+		} else if typ > itemKeyword && itemPrec[itemKeyword] >= p {
+			// fmt.Printf("%skey-e: %v\n", prefix, e)
+			L.nextToken = next
+			e2 := parseExpr(prefix+"  ", L, itemPrec[itemKeyword])
+			mul := NewMul()
+			mul.Insert(e)
+			mul.Insert(e2)
+			e = mul
+			// fmt.Printf("%se: %v\ne2: %v\n", prefix, e, e2)
+		} else if typ == itemLParen || typ == itemLBrack {
+			// consumed '(' or '{'
+			e2 := parseExpr(prefix+"  ", L, 0)
+			// now consume ')','}'
+			var next2 item
+			if L.nextToken.typ == itemNil {
+				next2 = <-L.items
+			} else {
+				next2, L.nextToken.typ = L.nextToken, itemNil
+			}
+			typ2 := next2.typ
+			if (typ == itemLParen && typ2 != itemRParen) || (typ == itemLBrack && typ2 != itemRBrack) {
+				fmt.Printf("error: expected rhs of %v\n", next2)
+			}
+			// fmt.Printf("%s(): %v  %v\n", prefix, e, e2)
+
+			mul := NewMul()
+			mul.Insert(e)
+			mul.Insert(e2)
+			e = mul
+		} else {
+			// fmt.Printf("%selse(%d-%d): %v   %v\n", prefix, p, itemPrec[typ], e, next)
+			L.nextToken = next
+			break
+		}
+	}
+	// fmt.Printf("%sout-E(%d): %v   %v\n", prefix, p, e, L.nextToken)
+	return e
+}
+
+func parsePiece(prefix string, L *lexer) Expr {
+	// fmt.Printf("%sin-P()\n", prefix)
+	var next item
+	if L.nextToken.typ == itemNil {
+		next = <-L.items
+	} else {
+		next, L.nextToken.typ = L.nextToken, itemNil
+	}
+	typ := next.typ
+	var e Expr
+	// fmt.Printf("%spnxt  %v\n", prefix, next)
+
+	// if isUnary(typ) {
+	// 	e1 := parseExpr(prefix+"  ", L, 0)
+	// 	e = NewNeg(e1)
+	// } else 
+	if typ == itemNeg {
+		e1 := parsePiece(prefix+"  ", L)
+		e = NewNeg(e1)
+	} else if typ == itemLParen || typ == itemLBrack {
+		// consumed '(' or '{'
+		e = parseExpr(prefix+"  ", L, 0)
+		// now consume ')','}'
+		var next2 item
+		if L.nextToken.typ == itemNil {
+			next2 = <-L.items
+		} else {
+			next2, L.nextToken.typ = L.nextToken, itemNil
+		}
+		typ2 := next2.typ
+		if (typ == itemLParen && typ2 != itemRParen) || (typ == itemLBrack && typ2 != itemRBrack) {
+			fmt.Printf("error: expected rhs of %v\n", next2)
+		}
+		return e
+	} else if typ == itemIdentifier { // leaf
+		if next.val[0] == 'C' {
+			// coefficient
+			ipos := strings.Index(next.val, "_") + 1
+			index, err := strconv.ParseInt(next.val[ipos:], 0, 64)
+			if err != nil {
+				fmt.Printf("Error (%v) parsing index in '%s'\n", err, next.val)
+			}
+			e = NewConstant(int(index))
+		} else if next.val[0] == 'X' {
+			// variable
+			ipos := strings.Index(next.val, "_") + 1
+			index, err := strconv.ParseInt(next.val[ipos:], 0, 64)
+			if err != nil {
+				fmt.Printf("Error (%v) parsing index in '%s'\n", err, next.val)
+			}
+			return NewVar(int(index))
+		} else {
+			// is it a named variable ?
+			for p, v := range L.vars {
+				if next.val == v {
+					e = NewVar(p)
+					break
+				}
+			}
+			// is it a named constant ?
+			if strings.ToLower(next.val) == "pi" {
+				e = NewConstantF(math.Pi)
+			}
+
+			if e == nil {
+				fmt.Printf("UNIMPLEMENTED IDENTIFIER:  %v\n", next)
+			}
+		}
+	} else if typ == itemNumber {
+		flt, err := strconv.ParseFloat(next.val, 64)
+		if err != nil {
+			fmt.Printf("Error (%v) parsing number in '%s'\n", err, next.val)
+		}
+		e = NewConstantF(flt)
+
+		// } elsi if { // func name...
+	} else if typ > itemKeyword {
+		// is it a named function
+		switch typ {
+		case itemSin:
+			e2 := parseExpr(prefix+"  ", L, itemPrec[itemKeyword])
+			e = NewSin(e2)
+		case itemCos:
+			e2 := parseExpr(prefix+"  ", L, itemPrec[itemKeyword])
+			e = NewCos(e2)
+		case itemTan:
+			e2 := parseExpr(prefix+"  ", L, itemPrec[itemKeyword])
+			e = NewTan(e2)
+		case itemAbs:
+			e2 := parseExpr(prefix+"  ", L, itemPrec[itemKeyword])
+			e = NewAbs(e2)
+		case itemSqrt:
+			e2 := parseExpr(prefix+"  ", L, itemPrec[itemKeyword])
+			e = NewSqrt(e2)
+		case itemExp:
+			// now consume the '^'
+			var next2 item
+			if L.nextToken.typ == itemNil {
+				next2 = <-L.items
+			} else {
+				next2, L.nextToken.typ = L.nextToken, itemNil
+			}
+			typ2 := next2.typ
+			if next.val == "e" && typ2 != itemCarrot {
+				fmt.Printf("error: expected ^ after 'e', got %v & %v\n", next, next2)
+			}
+			e2 := parseExpr(prefix+"  ", L, itemPrec[itemCarrot])
+			e = NewExp(e2)
+		case itemLog:
+			e2 := parseExpr(prefix+"  ", L, itemPrec[itemKeyword])
+			e = NewLog(e2)
+		}
+
+		if e == nil {
+			fmt.Printf("Unimplemented Function:  %v\n", next)
+		}
+
+	} else { // error
+		L.nextToken = next
+		e = nil
+	}
+	// } else if { is it a user defined function
+
+	// fmt.Printf("%sout-P(): %v\n", prefix, e)
+	return e
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/print.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/print.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/print.go	(revision 16620)
@@ -0,0 +1,580 @@
+package symexpr
+
+import "fmt"
+
+func (n *Time) String() string                                              { return "T" }
+func (t *Time) Serial(sofar []int) []int                                    { return append(sofar, int(TIME)) }
+func (t *Time) StackSerial(sofar []int) []int                               { return append(sofar, int(TIME)) }
+func (t *Time) PrettyPrint(dnames, snames []string, cvals []float64) string { return "T" }
+func (t *Time) Latex(dnames, snames []string, cvals []float64) string       { return "T" }
+func (t *Time) Javascript(dnames, snames []string, cvals []float64) string  { return "T" }
+
+func (v *Var) String() string                { return "X_" + fmt.Sprint(v.P) }
+func (v *Var) Serial(sofar []int) []int      { return append(sofar, int(v.P)+int(STARTVAR)) }
+func (v *Var) StackSerial(sofar []int) []int { return append(sofar, int(v.P)+int(STARTVAR)) }
+func (v *Var) PrettyPrint(dnames, snames []string, cvals []float64) string {
+	if dnames == nil {
+		return v.String()
+	}
+	return dnames[v.P]
+}
+func (v *Var) Latex(dnames, snames []string, cvals []float64) string {
+	return v.PrettyPrint(dnames, snames, cvals)
+}
+func (v *Var) Javascript(dnames, snames []string, cvals []float64) string {
+	return v.PrettyPrint(dnames, snames, cvals)
+}
+
+func (c *Constant) String() string           { return "C_" + fmt.Sprint(c.P) }
+func (c *Constant) Serial(sofar []int) []int { return append(sofar, int(CONSTANT)) }
+func (c *Constant) StackSerial(sofar []int) []int {
+	sofar = append(sofar, int(CONSTANT))
+	return append(sofar, c.P)
+}
+func (c *Constant) PrettyPrint(dnames, snames []string, cvals []float64) string {
+	if cvals == nil {
+		return c.String()
+	}
+	return fmt.Sprintf("%.6f", cvals[c.P])
+}
+func (c *Constant) Latex(dnames, snames []string, cvals []float64) string {
+	return c.PrettyPrint(dnames, snames, cvals)
+}
+func (c *Constant) Javascript(dnames, snames []string, cvals []float64) string {
+	return c.PrettyPrint(dnames, snames, cvals)
+}
+
+func (c *ConstantF) String() string           { return fmt.Sprintf("%.4e", c.F) }
+func (c *ConstantF) Serial(sofar []int) []int { return append(sofar, int(CONSTANTF)) } // hmm floats???
+func (c *ConstantF) StackSerial(sofar []int) []int {
+	sofar = append(sofar, int(CONSTANTF))
+	// fmt.Printf("CF SS: %f\n", c.F)
+	return append(sofar, int(c.F))
+} // hmm floats???
+// ( we don't output the index since it is unimportant and can be altered )
+func (c *ConstantF) PrettyPrint(dnames, snames []string, cvals []float64) string {
+	return c.String()
+}
+func (c *ConstantF) Latex(dnames, snames []string, cvals []float64) string {
+	return fmt.Sprintf("%.2f", c.F)
+}
+func (c *ConstantF) Javascript(dnames, snames []string, cvals []float64) string {
+	return fmt.Sprintf("%.2f", c.F)
+}
+
+func (s *System) String() string { return "S_" + fmt.Sprint(s.P) }
+func (s *System) Serial(sofar []int) []int {
+	sofar = append(sofar, int(SYSTEM))
+	return append(sofar, s.P)
+}
+func (s *System) StackSerial(sofar []int) []int {
+	sofar = append(sofar, int(SYSTEM))
+	return append(sofar, s.P)
+}
+func (s *System) PrettyPrint(dnames, snames []string, cvals []float64) string {
+	if snames == nil {
+		return s.String()
+	}
+	return snames[s.P]
+}
+func (s *System) Latex(dnames, snames []string, cvals []float64) string {
+	return s.PrettyPrint(dnames, snames, cvals)
+}
+func (s *System) Javascript(dnames, snames []string, cvals []float64) string {
+	return s.PrettyPrint(dnames, snames, cvals)
+}
+
+func (u *Neg) String() string {
+	if u.C == nil {
+		return "-(nil)"
+	}
+	return "-(" + u.C.String() + ")"
+}
+func (u *Neg) Serial(sofar []int) []int {
+	sofar = append(sofar, int(NEG))
+	return u.C.Serial(sofar)
+}
+func (u *Neg) StackSerial(sofar []int) []int {
+	sofar = u.C.StackSerial(sofar)
+	return append(sofar, int(NEG))
+}
+func (u *Neg) PrettyPrint(dnames, snames []string, cvals []float64) string {
+	return "-(" + u.C.PrettyPrint(dnames, snames, cvals) + ")"
+}
+func (u *Neg) Latex(dnames, snames []string, cvals []float64) string {
+	return "-(" + u.C.Latex(dnames, snames, cvals) + ")"
+}
+func (u *Neg) Javascript(dnames, snames []string, cvals []float64) string {
+	return "-(" + u.C.Javascript(dnames, snames, cvals) + ")"
+}
+
+func (u *Abs) String() string {
+	if u.C == nil {
+		return "abs(nil)"
+	}
+	return "abs(" + u.C.String() + ")"
+}
+func (u *Abs) Serial(sofar []int) []int {
+	sofar = append(sofar, int(ABS))
+	return u.C.Serial(sofar)
+}
+func (u *Abs) StackSerial(sofar []int) []int {
+	sofar = u.C.StackSerial(sofar)
+	return append(sofar, int(ABS))
+}
+func (u *Abs) PrettyPrint(dnames, snames []string, cvals []float64) string {
+	return "abs(" + u.C.PrettyPrint(dnames, snames, cvals) + ")"
+}
+func (u *Abs) Latex(dnames, snames []string, cvals []float64) string {
+	return "abs(" + u.C.Latex(dnames, snames, cvals) + ")"
+}
+func (u *Abs) Javascript(dnames, snames []string, cvals []float64) string {
+	return "abs(" + u.C.Javascript(dnames, snames, cvals) + ")"
+}
+
+func (u *Sqrt) String() string {
+	if u.C == nil {
+		return "sqrt(nil)"
+	}
+	return "sqrt(" + u.C.String() + ")"
+}
+func (u *Sqrt) Serial(sofar []int) []int {
+	sofar = append(sofar, int(SQRT))
+	return u.C.Serial(sofar)
+}
+func (u *Sqrt) StackSerial(sofar []int) []int {
+	sofar = u.C.StackSerial(sofar)
+	return append(sofar, int(SQRT))
+}
+func (u *Sqrt) PrettyPrint(dnames, snames []string, cvals []float64) string {
+	return "sqrt(" + u.C.PrettyPrint(dnames, snames, cvals) + ")"
+}
+func (u *Sqrt) Latex(dnames, snames []string, cvals []float64) string {
+	return "\\sqrt{" + u.C.Latex(dnames, snames, cvals) + "}"
+}
+func (u *Sqrt) Javascript(dnames, snames []string, cvals []float64) string {
+	return "sqrt(" + u.C.Javascript(dnames, snames, cvals) + ")"
+}
+
+func (u *Sin) String() string {
+	if u.C == nil {
+		return "sin(nil)"
+	}
+	return "sin(" + u.C.String() + ")"
+}
+func (u *Sin) Serial(sofar []int) []int {
+	sofar = u.C.Serial(sofar)
+	return append(sofar, int(SIN))
+}
+func (u *Sin) StackSerial(sofar []int) []int {
+	sofar = u.C.StackSerial(sofar)
+	return append(sofar, int(SIN))
+}
+func (u *Sin) PrettyPrint(dnames, snames []string, cvals []float64) string {
+	return "sin(" + u.C.PrettyPrint(dnames, snames, cvals) + ")"
+}
+func (u *Sin) Latex(dnames, snames []string, cvals []float64) string {
+	return "\\sin(" + u.C.Latex(dnames, snames, cvals) + ")"
+}
+func (u *Sin) Javascript(dnames, snames []string, cvals []float64) string {
+	return "sin(" + u.C.Javascript(dnames, snames, cvals) + ")"
+}
+
+func (u *Cos) String() string {
+	if u.C == nil {
+		return "cos(nil)"
+	}
+	return "cos(" + u.C.String() + ")"
+}
+func (u *Cos) Serial(sofar []int) []int {
+	sofar = append(sofar, int(COS))
+	return u.C.Serial(sofar)
+}
+func (u *Cos) StackSerial(sofar []int) []int {
+	sofar = u.C.StackSerial(sofar)
+	return append(sofar, int(COS))
+}
+func (u *Cos) PrettyPrint(dnames, snames []string, cvals []float64) string {
+	return "cos(" + u.C.PrettyPrint(dnames, snames, cvals) + ")"
+}
+func (u *Cos) Latex(dnames, snames []string, cvals []float64) string {
+	return "\\cos(" + u.C.Latex(dnames, snames, cvals) + ")"
+}
+func (u *Cos) Javascript(dnames, snames []string, cvals []float64) string {
+	return "cos(" + u.C.Javascript(dnames, snames, cvals) + ")"
+}
+
+func (u *Tan) String() string {
+	if u.C == nil {
+		return "tan(nil)"
+	}
+	return "tan(" + u.C.String() + ")"
+}
+func (u *Tan) Serial(sofar []int) []int {
+	sofar = append(sofar, int(TAN))
+	return u.C.Serial(sofar)
+}
+func (u *Tan) StackSerial(sofar []int) []int {
+	sofar = u.C.StackSerial(sofar)
+	return append(sofar, int(TAN))
+}
+func (u *Tan) PrettyPrint(dnames, snames []string, cvals []float64) string {
+	return "tan(" + u.C.PrettyPrint(dnames, snames, cvals) + ")"
+}
+func (u *Tan) Latex(dnames, snames []string, cvals []float64) string {
+	return "\\tan(" + u.C.Latex(dnames, snames, cvals) + ")"
+}
+func (u *Tan) Javascript(dnames, snames []string, cvals []float64) string {
+	return "tan(" + u.C.Javascript(dnames, snames, cvals) + ")"
+}
+
+func (u *Exp) String() string {
+	if u.C == nil {
+		return "exp(nil)"
+	}
+	return "exp(" + u.C.String() + ")"
+}
+func (u *Exp) Serial(sofar []int) []int {
+	sofar = append(sofar, int(EXP))
+	return u.C.Serial(sofar)
+}
+func (u *Exp) StackSerial(sofar []int) []int {
+	sofar = u.C.StackSerial(sofar)
+	return append(sofar, int(EXP))
+}
+func (u *Exp) PrettyPrint(dnames, snames []string, cvals []float64) string {
+	return "exp(" + u.C.PrettyPrint(dnames, snames, cvals) + ")"
+}
+func (u *Exp) Latex(dnames, snames []string, cvals []float64) string {
+	return "\\exp(" + u.C.Latex(dnames, snames, cvals) + ")"
+}
+func (u *Exp) Javascript(dnames, snames []string, cvals []float64) string {
+	return "exp(" + u.C.Javascript(dnames, snames, cvals) + ")"
+}
+
+func (u *Log) String() string {
+	if u.C == nil {
+		return "ln(nil)"
+	}
+	return "ln(" + u.C.String() + ")"
+}
+func (u *Log) Serial(sofar []int) []int {
+	sofar = append(sofar, int(LOG))
+	return u.C.Serial(sofar)
+}
+func (u *Log) StackSerial(sofar []int) []int {
+	sofar = u.C.StackSerial(sofar)
+	return append(sofar, int(LOG))
+}
+func (u *Log) PrettyPrint(dnames, snames []string, cvals []float64) string {
+	return "ln(" + u.C.PrettyPrint(dnames, snames, cvals) + ")"
+}
+func (u *Log) Latex(dnames, snames []string, cvals []float64) string {
+	return "\\log(" + u.C.Latex(dnames, snames, cvals) + ")"
+}
+func (u *Log) Javascript(dnames, snames []string, cvals []float64) string {
+	return "log(" + u.C.Javascript(dnames, snames, cvals) + ")"
+}
+
+func (u *PowI) String() string {
+	if u.Base == nil {
+		return "(nil)^" + fmt.Sprint(u.Power)
+	}
+	return "(" + u.Base.String() + ")^" + fmt.Sprint(u.Power)
+}
+func (u *PowI) Serial(sofar []int) []int {
+	sofar = append(sofar, int(POWI))
+	sofar = u.Base.Serial(sofar)
+	return append(sofar, u.Power)
+}
+func (u *PowI) StackSerial(sofar []int) []int {
+	sofar = u.Base.StackSerial(sofar)
+	sofar = append(sofar, int(POWI))
+	sofar = append(sofar, u.Power)
+	return sofar
+}
+func (u *PowI) PrettyPrint(dnames, snames []string, cvals []float64) string {
+	return "(" + u.Base.PrettyPrint(dnames, snames, cvals) + ")^" + fmt.Sprint(u.Power)
+}
+func (u *PowI) Latex(dnames, snames []string, cvals []float64) string {
+	return "(" + u.Base.Latex(dnames, snames, cvals) + ")^{" + fmt.Sprint(u.Power) + "}"
+}
+func (u *PowI) Javascript(dnames, snames []string, cvals []float64) string {
+	return "Math.pow(" + u.Base.Javascript(dnames, snames, cvals) + "," + fmt.Sprint(u.Power) + ")"
+}
+
+func (u *PowF) String() string {
+	if u.Base == nil {
+		return "(nil)^" + fmt.Sprint(u.Power)
+	}
+	return "(" + u.Base.String() + ")^" + fmt.Sprint(u.Power)
+}
+func (u *PowF) Serial(sofar []int) []int {
+	sofar = append(sofar, int(POWF))
+	return u.Base.Serial(sofar)
+}
+func (u *PowF) StackSerial(sofar []int) []int {
+	sofar = u.Base.StackSerial(sofar)
+	// HACK!!!
+	sofar = append(sofar, int(POWI))
+	sofar = append(sofar, int(u.Power))
+	return sofar
+}
+func (u *PowF) PrettyPrint(dnames, snames []string, cvals []float64) string {
+	return "(" + u.Base.PrettyPrint(dnames, snames, cvals) + ")^" + fmt.Sprint(u.Power)
+}
+func (u *PowF) Latex(dnames, snames []string, cvals []float64) string {
+	return "(" + u.Base.Latex(dnames, snames, cvals) + ")^{" + fmt.Sprint(u.Power) + "}"
+}
+func (u *PowF) Javascript(dnames, snames []string, cvals []float64) string {
+	return "Math.pow(" + u.Base.Javascript(dnames, snames, cvals) + "," + fmt.Sprint(u.Power) + ")"
+}
+
+func (n *PowE) String() string {
+	var str string
+	if n.Base == nil {
+		str += "{nil}^"
+	} else {
+		str += "(" + n.Base.String() + ")^"
+	}
+	if n.Power == nil {
+		str += "(nil)"
+	} else {
+		str += "(" + n.Power.String() + ")"
+	}
+	return str
+}
+func (n *PowE) Serial(sofar []int) []int {
+	sofar = append(sofar, int(POWE))
+	sofar = n.Base.Serial(sofar)
+	return n.Power.Serial(sofar)
+}
+func (n *PowE) StackSerial(sofar []int) []int {
+	sofar = n.Base.StackSerial(sofar)
+	sofar = n.Power.StackSerial(sofar)
+	sofar = append(sofar, int(POWE))
+	return sofar
+}
+func (u *PowE) PrettyPrint(dnames, snames []string, cvals []float64) string {
+	return "(" + u.Base.PrettyPrint(dnames, snames, cvals) + ")^{" + u.Power.PrettyPrint(dnames, snames, cvals) + "}"
+}
+func (u *PowE) Latex(dnames, snames []string, cvals []float64) string {
+	return "(" + u.Base.Latex(dnames, snames, cvals) + ")^{" + u.Power.Latex(dnames, snames, cvals) + "}"
+}
+func (u *PowE) Javascript(dnames, snames []string, cvals []float64) string {
+	return "Math.pow(" + u.Base.Javascript(dnames, snames, cvals) + "," + u.Power.Javascript(dnames, snames, cvals) + ")"
+}
+
+func (n *Div) String() string {
+	nstr, dstr := "nil", "nil"
+	if n.Numer != nil {
+		nstr = n.Numer.String()
+	}
+	if n.Denom != nil {
+		dstr = n.Denom.String()
+	}
+	return "{ " + nstr + " }/{ " + dstr + " }"
+}
+func (n *Div) Serial(sofar []int) []int {
+	sofar = append(sofar, int(DIV))
+	if n.Numer == nil {
+		sofar = append(sofar, 0)
+	}
+	sofar = n.Numer.Serial(sofar)
+	if n.Denom == nil {
+		sofar = append(sofar, 0)
+	}
+	sofar = n.Denom.Serial(sofar)
+	return sofar
+}
+func (n *Div) StackSerial(sofar []int) []int {
+	sofar = n.Numer.StackSerial(sofar)
+	sofar = n.Denom.StackSerial(sofar)
+	sofar = append(sofar, int(DIV))
+	return sofar
+}
+func (n *Div) PrettyPrint(dnames, snames []string, cvals []float64) string {
+	nstr, dstr := "nil", "nil"
+	if n.Numer != nil {
+		nstr = n.Numer.PrettyPrint(dnames, snames, cvals)
+	}
+	if n.Denom != nil {
+		dstr = n.Denom.PrettyPrint(dnames, snames, cvals)
+	}
+	return "{ " + nstr + " }/{ " + dstr + " }"
+}
+func (n *Div) Latex(dnames, snames []string, cvals []float64) string {
+	nstr, dstr := "nil", "nil"
+	if n.Numer != nil {
+		nstr = n.Numer.Latex(dnames, snames, cvals)
+	}
+	if n.Denom != nil {
+		dstr = n.Denom.Latex(dnames, snames, cvals)
+	}
+	return "\\\\frac{ " + nstr + " }{ " + dstr + " }"
+}
+func (n *Div) Javascript(dnames, snames []string, cvals []float64) string {
+	nstr, dstr := "nil", "nil"
+	if n.Numer != nil {
+		nstr = n.Numer.Javascript(dnames, snames, cvals)
+	}
+	if n.Denom != nil {
+		dstr = n.Denom.Javascript(dnames, snames, cvals)
+	}
+	return "( " + nstr + " )/( " + dstr + " )"
+}
+
+func (n *Add) String() string {
+	str := "( "
+	if len(n.CS) == 0 {
+		str += "[a] )"
+		return str
+	}
+	if n.CS[0] == nil {
+		str += "nil"
+	} else {
+		str += n.CS[0].String()
+	}
+	for i := 1; i < len(n.CS); i++ {
+		if n.CS[i] == nil {
+			str += " + nil"
+		} else {
+			str += " + " + n.CS[i].String()
+		}
+	}
+	str += " )"
+	return str
+}
+func (n *Add) Serial(sofar []int) []int {
+	sofar = append(sofar, int(ADD))
+	sofar = append(sofar, len(n.CS))
+	pos := len(sofar) - 1
+	for _, E := range n.CS {
+		if E == nil {
+			sofar[pos]--
+			continue
+		}
+		sofar = E.Serial(sofar)
+	}
+	return sofar
+}
+func (n *Add) StackSerial(sofar []int) []int {
+	sofar = n.CS[0].StackSerial(sofar)
+	for i := 1; i < len(n.CS); i++ {
+		E := n.CS[i]
+		if E == nil {
+			continue
+		}
+		sofar = E.StackSerial(sofar)
+		sofar = append(sofar, int(ADD))
+	}
+	return sofar
+}
+func (n *Add) PrettyPrint(dnames, snames []string, cvals []float64) string {
+	str := "( " + n.CS[0].PrettyPrint(dnames, snames, cvals)
+	for i := 1; i < len(n.CS); i++ {
+		if n.CS[i] == nil {
+			continue
+		}
+		str += " + " + n.CS[i].PrettyPrint(dnames, snames, cvals)
+	}
+	str += " )"
+	return str
+}
+func (n *Add) Latex(dnames, snames []string, cvals []float64) string {
+	str := "( " + n.CS[0].Latex(dnames, snames, cvals)
+	for i := 1; i < len(n.CS); i++ {
+		if n.CS[i] == nil {
+			continue
+		}
+		str += " + " + n.CS[i].Latex(dnames, snames, cvals)
+	}
+	str += " )"
+	return str
+}
+func (n *Add) Javascript(dnames, snames []string, cvals []float64) string {
+	str := "( " + n.CS[0].Javascript(dnames, snames, cvals)
+	for i := 1; i < len(n.CS); i++ {
+		if n.CS[i] == nil {
+			continue
+		}
+		str += " + " + n.CS[i].Javascript(dnames, snames, cvals)
+	}
+	str += " )"
+	return str
+}
+
+func (n *Mul) String() string {
+	var str string
+	if len(n.CS) == 0 {
+		return "[m]"
+	}
+	if n.CS[0] == nil {
+		str += "nil"
+	} else {
+		str += n.CS[0].String()
+	}
+	for i := 1; i < len(n.CS); i++ {
+		if n.CS[i] == nil {
+			str += " + nil"
+		} else {
+			str += "*" + n.CS[i].String()
+		}
+	}
+	return str
+}
+func (n *Mul) Serial(sofar []int) []int {
+	sofar = append(sofar, int(MUL))
+	sofar = append(sofar, len(n.CS))
+	pos := len(sofar) - 1
+	for _, E := range n.CS {
+		if E == nil {
+			sofar[pos]--
+			continue
+		}
+		sofar = E.Serial(sofar)
+	}
+	return sofar
+}
+func (n *Mul) StackSerial(sofar []int) []int {
+	sofar = n.CS[0].StackSerial(sofar)
+	for i := 1; i < len(n.CS); i++ {
+		E := n.CS[i]
+		if E == nil {
+			continue
+		}
+		sofar = E.StackSerial(sofar)
+		sofar = append(sofar, int(MUL))
+	}
+	return sofar
+}
+func (n *Mul) PrettyPrint(dnames, snames []string, cvals []float64) string {
+	str := n.CS[0].PrettyPrint(dnames, snames, cvals)
+	for i := 1; i < len(n.CS); i++ {
+		if n.CS[i] == nil {
+			continue
+		}
+		str += "*" + n.CS[i].PrettyPrint(dnames, snames, cvals)
+	}
+	return str
+}
+func (n *Mul) Latex(dnames, snames []string, cvals []float64) string {
+	str := n.CS[0].Latex(dnames, snames, cvals)
+	for i := 1; i < len(n.CS); i++ {
+		if n.CS[i] == nil {
+			continue
+		}
+		str += "*" + n.CS[i].Latex(dnames, snames, cvals)
+	}
+	return str
+}
+func (n *Mul) Javascript(dnames, snames []string, cvals []float64) string {
+	str := n.CS[0].Javascript(dnames, snames, cvals)
+	for i := 1; i < len(n.CS); i++ {
+		if n.CS[i] == nil {
+			continue
+		}
+		str += "*" + n.CS[i].Javascript(dnames, snames, cvals)
+	}
+	return str
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/simp.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/simp.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/simp.go	(revision 16620)
@@ -0,0 +1,1782 @@
+package symexpr
+
+import (
+	"math"
+
+	// "fmt"
+)
+
+type SimpRules struct {
+	GroupAddTerms bool
+	ConvertConsts bool
+	MulToPow      bool
+	MaxPowPow     int
+
+	MulInCoeff int // add must be >= to size, 0 == No
+
+	// state tracking
+	InTrig bool
+}
+
+func DefaultRules() SimpRules {
+	return SimpRules{true, true, true, 12, 0, false}
+}
+
+func (l *Leaf) Simplify(rules SimpRules) Expr  { return nil }
+func (u *Unary) Simplify(rules SimpRules) Expr { return nil }
+func (n *N_ary) Simplify(rules SimpRules) Expr { return nil }
+
+func (n *Time) Simplify(rules SimpRules) Expr { return n }
+
+func (v *Var) Simplify(rules SimpRules) Expr { return v }
+
+func (c *Constant) Simplify(rules SimpRules) Expr { return c }
+
+func (c *ConstantF) Simplify(rules SimpRules) Expr {
+	if math.IsNaN(c.F) || math.IsInf(c.F, 0) {
+		return nil
+	}
+	// "close" to system value ??? TODO
+
+	return c
+}
+
+func (s *System) Simplify(rules SimpRules) Expr { return s }
+
+func (u *Neg) Simplify(rules SimpRules) (ret Expr) {
+	if u.C == nil {
+		return nil
+	}
+	u.C = u.C.Simplify(rules)
+	if u.C == nil {
+		return nil
+	}
+	switch u.C.ExprType() {
+	case NULL:
+		ret = nil
+		u.C = nil
+	case NEG:
+		ret = u.C
+		u.C = nil
+	case CONSTANT:
+		ret = u.C
+		u.C = nil
+	case CONSTANTF:
+		c := u.C.(*ConstantF)
+		c.F *= -1.0
+		ret = u.C
+		u.C = nil
+	case MUL:
+		m := u.C.(*Mul)
+		if m.CS[0].ExprType() == CONSTANT { // Constants should always be first operand in Mul
+			ret = u.C
+			u.C = nil
+		} else if m.CS[0].ExprType() == CONSTANTF { // Constants should always be first operand in Mul
+			c := m.CS[0].(*ConstantF)
+			c.F *= -1.0
+			ret = u.C
+			u.C = nil
+		}
+	default: // no simplification
+		ret = u
+	}
+	return ret
+}
+
+func (u *Abs) Simplify(rules SimpRules) (ret Expr) {
+	if u.C == nil {
+		return nil
+	}
+	u.C = u.C.Simplify(rules)
+	if u.C == nil {
+		return nil
+	}
+	switch u.C.ExprType() {
+	case NULL:
+		ret = nil
+		u.C = nil
+	case ABS:
+		ret = u.C
+		u.C = nil
+	default: // no simplification
+		ret = u
+	}
+	return ret
+}
+
+func (u *Sqrt) Simplify(rules SimpRules) (ret Expr) {
+	if u.C == nil {
+		return nil
+	}
+	u.C = u.C.Simplify(rules)
+	if u.C == nil {
+		return nil
+	}
+	switch u.C.ExprType() {
+	case NULL:
+		ret = nil
+		u.C = nil
+	case SQRT:
+		s := u.C.(*Sqrt)
+		ret = NewPowF(s.C, 0.25)
+		u.C = nil
+	case CONSTANT:
+		ret = u.C
+		u.C = nil
+	case CONSTANTF:
+		ret = u.C
+		u.C = nil
+		ret.(*ConstantF).F = math.Sqrt(ret.(*ConstantF).F)
+	case POWF:
+		p := u.C.(*PowF)
+		p.Power *= 0.5
+		ret = p
+		u.C = nil
+	case POWI:
+		p := u.C.(*PowI)
+		if p.Power == 2 {
+			ret = p.Base
+			p.Base = nil
+		} else if p.Power%2 == 0 {
+			p.Power /= 2
+			ret = p
+			u.C = nil
+		} else {
+			f := NewPowF(p.Base, float64(p.Power)*0.5)
+			ret = f
+			p.Base = nil
+		}
+
+	default: // no simplification
+		ret = u
+	}
+	return ret
+}
+
+func (u *Sin) Simplify(rules SimpRules) (ret Expr) {
+	// fmt.Printf("Simp Sin:  %v\n", u.C)
+	if !rules.InTrig {
+		rules.InTrig = true
+	} else {
+		tmp := u.C
+		u.C = nil
+		return tmp
+	}
+	if u.C == nil {
+		return nil
+	}
+	u.C = u.C.Simplify(rules)
+	if u.C == nil {
+		return nil
+	}
+	// fmt.Printf("      %v\n", u.C)
+	switch u.C.ExprType() {
+	case NULL, SIN, COS, TAN, CONSTANT:
+		ret = u.C
+		u.C = nil
+	case CONSTANTF:
+		ret = u.C
+		u.C = nil
+		ret.(*ConstantF).F = math.Sin(ret.(*ConstantF).F)
+	default: // no simplification
+		ret = u
+	}
+	return ret
+}
+
+func (u *Cos) Simplify(rules SimpRules) (ret Expr) {
+	if !rules.InTrig {
+		rules.InTrig = true
+	} else {
+		tmp := u.C
+		u.C = nil
+		return tmp
+	}
+	if u.C == nil {
+		return nil
+	}
+	u.C = u.C.Simplify(rules)
+	if u.C == nil {
+		return nil
+	}
+	switch u.C.ExprType() {
+	case NULL, SIN, COS, TAN, CONSTANT:
+		ret = u.C
+		u.C = nil
+	case CONSTANTF:
+		ret = u.C
+		u.C = nil
+		ret.(*ConstantF).F = math.Cos(ret.(*ConstantF).F)
+	default: // no simplification
+		ret = u
+	}
+	return ret
+}
+
+func (u *Tan) Simplify(rules SimpRules) (ret Expr) {
+	if !rules.InTrig {
+		rules.InTrig = true
+	} else {
+		tmp := u.C
+		u.C = nil
+		return tmp
+	}
+	if u.C == nil {
+		return nil
+	}
+	u.C = u.C.Simplify(rules)
+	if u.C == nil {
+		return nil
+	}
+	switch u.C.ExprType() {
+	case NULL, SIN, COS, TAN, CONSTANT:
+		ret = u.C
+		u.C = nil
+	case CONSTANTF:
+		ret = u.C
+		u.C = nil
+		ret.(*ConstantF).F = math.Tan(ret.(*ConstantF).F)
+	default: // no simplification
+		ret = u
+	}
+	return ret
+}
+
+func (u *Exp) Simplify(rules SimpRules) (ret Expr) {
+	if u.C == nil {
+		return nil
+	}
+	u.C = u.C.Simplify(rules)
+	if u.C == nil {
+		return nil
+	}
+	switch u.C.ExprType() {
+	case NULL, CONSTANT:
+		ret = u.C
+		u.C = nil
+	case CONSTANTF:
+		ret = u.C
+		u.C = nil
+		ret.(*ConstantF).F = math.Exp(ret.(*ConstantF).F)
+	default: // no simplification
+		ret = u
+	}
+	return ret
+}
+
+func (u *Log) Simplify(rules SimpRules) (ret Expr) {
+	if u.C == nil {
+		return nil
+	}
+	u.C = u.C.Simplify(rules)
+	if u.C == nil {
+		return nil
+	}
+	switch u.C.ExprType() {
+	case NULL, CONSTANT:
+		ret = u.C
+		u.C = nil
+	case CONSTANTF:
+		ret = u.C
+		u.C = nil
+		ret.(*ConstantF).F = math.Log(ret.(*ConstantF).F)
+	default: // no simplification
+		ret = u
+	}
+	return ret
+}
+
+func (u *PowI) Simplify(rules SimpRules) Expr {
+	var (
+		ret Expr     = u
+		t   ExprType = NULL
+	)
+	if u.Base != nil {
+		// serial := make([]int, 0, 64)
+		// serial = u.Base.Serial(serial)
+		// fmt.Printf("PowI-presort:  %v   %v\n", u.Base, serial)
+
+		u.Base = u.Base.Simplify(rules)
+		if u.Base == nil {
+			return nil
+		}
+
+		// serial2 := make([]int, 0, 64)
+		// serial2 = u.Base.Serial(serial2)
+		// fmt.Printf("PowI-postsort:  %v   %v\n", u.Base, serial2)
+		t = u.Base.ExprType()
+	}
+
+	if u.Power > rules.MaxPowPow {
+		u.Power = rules.MaxPowPow
+	} else if u.Power < -rules.MaxPowPow {
+		u.Power = -rules.MaxPowPow
+	}
+
+	if u.Power == 0 {
+		ret = &ConstantF{F: 1}
+	} else if u.Power == 1 {
+		ret = u.Base
+		u.Base = nil
+	} else {
+		switch t {
+		case NULL, CONSTANT:
+			ret = u.Base
+			u.Base = nil
+		case CONSTANTF:
+			ret = u.Base
+			u.Base = nil
+			ret.(*ConstantF).F = math.Pow(ret.(*ConstantF).F, float64(u.Power))
+		case MUL:
+			if u.Base.HasConst() {
+				m := u.Base.(*Mul)
+				mret := NewMul()
+				mret.Insert(m.CS[0])
+				m.CS[0] = nil
+				u.Base = m.Simplify(rules)
+				tmp := NewPowF(u.Base, float64(u.Power))
+				mret.Insert(tmp)
+				ret = mret
+			}
+		case POWI:
+			p := u.Base.(*PowI)
+			u.Base = p.Base
+			u.Power = u.Power * p.Power
+			if u.Power > rules.MaxPowPow {
+				u.Power = rules.MaxPowPow
+			} else if u.Power < -rules.MaxPowPow {
+				u.Power = -rules.MaxPowPow
+			}
+			// ret = NewPowF(u.Base, float64(u.Power))
+			ret = u
+		default: // no simplification
+			// ret = NewPowF(u.Base, float64(u.Power))
+			ret = u
+		}
+	}
+	// serial := make([]int, 0, 64)
+	// serial = ret.Serial(serial)
+	// fmt.Printf("PowI-ret:  %v  %v\n", ret, serial)
+	return ret
+}
+
+func (u *PowF) Simplify(rules SimpRules) Expr {
+	var (
+		ret Expr     = u
+		t   ExprType = NULL
+	)
+	if u.Base != nil {
+		u.Base = u.Base.Simplify(rules)
+		if u.Base == nil {
+			return nil
+		}
+		t = u.Base.ExprType()
+	}
+
+	if u.Power == 0 {
+		ret = &ConstantF{F: 1}
+	} else if u.Power == 1 {
+		ret = u.Base
+		u.Base = nil
+	} else {
+		switch t {
+		case NULL, CONSTANT:
+			ret = u.Base
+			u.Base = nil
+		case CONSTANTF:
+			ret = u.Base
+			u.Base = nil
+			ret.(*ConstantF).F = math.Pow(ret.(*ConstantF).F, float64(u.Power))
+		default: // no simplification
+			ret = NewPowI(u.Base, int(u.Power))
+		}
+	}
+	return ret
+}
+
+func (n *PowE) Simplify(rules SimpRules) Expr {
+	var (
+		ret    Expr     = n
+		t1, t2 ExprType = NULL, NULL
+	)
+	if n.Base != nil {
+		n.Base = n.Base.Simplify(rules)
+		t1 = n.Base.ExprType()
+	}
+	if n.Power != nil {
+		n.Power = n.Power.Simplify(rules)
+		t2 = n.Power.ExprType()
+	}
+	if t1 == NULL && t2 == NULL {
+		return &Null{}
+	} else if t1 == NULL {
+		ret = n.Power
+		n.Base = nil
+		n.Power = nil
+	} else if t2 == NULL {
+		ret = n.Base
+		n.Base = nil
+		n.Power = nil
+	} else if n.Base.ExprType() == n.Power.ExprType() &&
+		n.Base.ExprType() == CONSTANTF {
+		ret = n.Base
+		ret.(*ConstantF).F = math.Pow(ret.(*ConstantF).F, n.Power.(*ConstantF).F)
+		n.Base = nil
+		n.Power = nil
+	}
+	return ret
+}
+
+func (n *Div) Simplify(rules SimpRules) Expr {
+	var (
+		ret    Expr     = n
+		t1, t2 ExprType = NULL, NULL
+	)
+	if n.Numer != nil {
+		n.Numer = n.Numer.Simplify(rules)
+		if n.Numer != nil {
+			t1 = n.Numer.ExprType()
+		}
+	}
+	if n.Denom != nil {
+		n.Denom = n.Denom.Simplify(rules)
+		if n.Denom != nil {
+			t2 = n.Denom.ExprType()
+		}
+	}
+
+	// check to see if nulls/nils
+	if t1 == NULL && t2 == NULL {
+		ret = nil
+	} else if t1 == NULL {
+		ret = n.Denom
+		n.Numer = nil
+		n.Denom = nil
+		return ret
+	} else if t2 == NULL {
+		ret = n.Numer
+		n.Numer = nil
+		n.Denom = nil
+		return ret
+	}
+
+	// check to see if divs
+	if t1 == DIV && t2 == DIV {
+		//  a/b // c/d => ad/bc
+		ndiv := n.Numer.(*Div)
+		ddiv := n.Denom.(*Div)
+		nmul := NewMul()
+		nmul.Insert(ndiv.Numer)
+		nmul.Insert(ddiv.Denom)
+		dmul := NewMul()
+		dmul.Insert(ndiv.Denom)
+		dmul.Insert(ddiv.Numer)
+		ndiv.Numer = nil
+		ndiv.Denom = nil
+		ddiv.Numer = nil
+		ddiv.Denom = nil
+		n.Numer = nmul.Simplify(rules)
+		n.Denom = dmul.Simplify(rules)
+		t1 = n.Numer.ExprType()
+		t2 = n.Denom.ExprType()
+
+	} else if t1 == DIV {
+		//  a/b // c   => a/bc
+		div := n.Numer.(*Div)
+		n.Numer = div.Numer
+		mul := NewMul()
+		mul.Insert(div.Denom)
+		mul.Insert(n.Denom)
+		div.Numer = nil
+		div.Denom = nil
+		n.Denom = mul.Simplify(rules)
+		t1 = n.Numer.ExprType()
+		t2 = n.Denom.ExprType()
+
+	} else if t2 == DIV {
+		//  a // c/d   => ad/c
+		div := n.Denom.(*Div)
+		n.Denom = div.Numer
+		mul := NewMul()
+		mul.Insert(n.Numer)
+		mul.Insert(div.Denom)
+		div.Numer = nil
+		div.Denom = nil
+		n.Numer = mul.Simplify(rules)
+		t1 = n.Numer.ExprType()
+		t2 = n.Denom.ExprType()
+	}
+
+	// cancel / simp like terms
+	if t1 == t2 && t1 == CONSTANT {
+		ret = n.Numer
+		n.Numer = nil
+		n.Denom = nil
+		return ret
+	} else if t1 == CONSTANT && t2 == MUL {
+		d := n.Denom.(*Mul)
+		if d.CS[0].ExprType() == CONSTANT {
+			d.CS[0] = nil
+			n.Denom = d.Simplify(rules)
+		}
+		return ret
+	} else if t2 == CONSTANT && t1 == MUL {
+		d := n.Numer.(*Mul)
+		if d.CS[0].ExprType() != CONSTANT {
+			d.Insert(NewConstant(-1))
+		}
+		ret = n.Numer
+		n.Numer = nil
+		n.Denom = nil
+		return ret
+	} else if t1 == t2 && t1 == CONSTANTF {
+		c := n.Numer.(*ConstantF)
+		c.F /= n.Denom.(*ConstantF).F
+		ret = n.Numer
+		n.Numer = nil
+		n.Denom = nil
+		return ret
+	} else if t1 == CONSTANTF && t2 == MUL {
+		d := n.Denom.(*Mul)
+		if d.CS[0].ExprType() == CONSTANTF {
+			c := n.Numer.(*ConstantF)
+			c.F /= d.CS[0].(*ConstantF).F
+			d.CS[0] = nil
+			n.Denom = d.Simplify(rules)
+		}
+		return ret
+	} else if t2 == CONSTANTF && t1 == MUL {
+		d := n.Numer.(*Mul)
+		if d.CS[0].ExprType() != CONSTANTF {
+			c := NewConstantF(1.0)
+			c.F /= n.Denom.(*ConstantF).F
+			d.Insert(c)
+		} else {
+			c := d.CS[0].(*ConstantF)
+			c.F /= n.Denom.(*ConstantF).F
+		}
+		ret = n.Numer
+		n.Numer = nil
+		n.Denom = nil
+		return ret
+	} else {
+		ret = n.cancelLikeTerms(rules)
+	}
+
+	return ret
+}
+
+func (D *Div) cancelLikeTerms(rules SimpRules) Expr {
+
+	t1 := D.Numer.ExprType()
+	t2 := D.Denom.ExprType()
+	var ret Expr = D
+
+	// fmt.Println("cancel", t1, t2)
+
+	if D.Numer.AmISame(D.Denom) {
+		return NewConstantF(1.0)
+	}
+
+	changed := false
+	if t1 == t2 && t1 == MUL {
+		mn := D.Numer.(*Mul)
+		md := D.Denom.(*Mul)
+		for i, n := range mn.CS {
+			if n == nil {
+				continue
+			}
+			for j, d := range md.CS {
+				if d == nil {
+					continue
+				}
+				// fmt.Println("cancel", i, n.ExprType(), j, d.ExprType())
+
+				if n.AmISame(d) {
+					mn.CS[i] = nil
+					md.CS[j] = nil
+					changed = true
+					break
+				}
+				if n.ExprType() == POWI && d.ExprType() == POWI {
+					np, dp := n.(*PowI), d.(*PowI)
+					if np.Base.AmISame(dp.Base) {
+						if np.Power > dp.Power {
+							np.Power -= dp.Power
+							md.CS[j] = nil
+							changed = true
+							continue
+						} else if np.Power < dp.Power {
+							dp.Power -= np.Power
+							mn.CS[i] = nil
+							changed = true
+							break
+						} else { // same and should cancel
+							mn.CS[i] = nil
+							md.CS[j] = nil
+							changed = true
+							break
+						}
+					}
+				} else if n.ExprType() == POWI {
+					np := n.(*PowI)
+					if np.Base.AmISame(d) {
+						np.Power -= 1
+						md.CS[j] = nil
+						changed = true
+						continue
+					}
+				} else if d.ExprType() == POWI {
+					nd := d.(*PowI)
+					if nd.Base.AmISame(n) {
+						nd.Power -= 1
+						mn.CS[i] = nil
+						changed = true
+						break
+					}
+				}
+
+			}
+
+		}
+	} else if t1 == MUL {
+		if D.Numer.AmIAlmostSame(D.Denom) {
+			return NewConstantF(1.0)
+		}
+		mn := D.Numer.(*Mul)
+		d := D.Denom
+		for i, n := range mn.CS {
+			if n.AmISame(d) {
+				mn.CS[i] = nil
+				D.Denom = nil
+				changed = true
+				break
+			}
+			if n.ExprType() == POWI && d.ExprType() == POWI {
+				np, dp := n.(*PowI), d.(*PowI)
+				if np.Base.AmISame(dp.Base) {
+					if np.Power > dp.Power {
+						np.Power -= dp.Power
+						D.Denom = nil
+						changed = true
+						break
+					} else if np.Power < dp.Power {
+						dp.Power -= np.Power
+						mn.CS[i] = nil
+						changed = true
+						break
+					} else { // same and should cancel
+						// will we even get here?
+						mn.CS[i] = nil
+						D.Denom = nil
+						changed = true
+						break
+					}
+				}
+			} else if n.ExprType() == POWI {
+				np := n.(*PowI)
+				if np.Base.AmISame(d) {
+					np.Power -= 1
+					D.Denom = nil
+					changed = true
+					break
+				}
+			} else if d.ExprType() == POWI {
+				nd := d.(*PowI)
+				if nd.Base.AmISame(n) {
+					nd.Power -= 1
+					mn.CS[i] = nil
+					changed = true
+					break
+				}
+			}
+		}
+	} else if t2 == MUL {
+		if D.Denom.AmIAlmostSame(D.Numer) {
+			return NewConstantF(1.0)
+		}
+		n := D.Numer
+		md := D.Denom.(*Mul)
+		for i, d := range md.CS {
+			if n.AmISame(d) {
+				D.Numer = NewConstantF(1.0)
+				md.CS[i] = nil
+				changed = true
+				break
+			}
+			if n.ExprType() == POWI && d.ExprType() == POWI {
+				np, dp := n.(*PowI), d.(*PowI)
+				if np.Base.AmISame(dp.Base) {
+					if np.Power > dp.Power {
+						np.Power -= dp.Power
+						md.CS[i] = nil
+						changed = true
+						break
+					} else if np.Power < dp.Power {
+						dp.Power -= np.Power
+						D.Numer = NewConstantF(1.0)
+						changed = true
+						break
+					} else { // same and should cancel
+						// will we even get here?
+						D.Numer = nil
+						md.CS[i] = nil
+						changed = true
+						break
+					}
+				}
+			} else if n.ExprType() == POWI {
+				np := n.(*PowI)
+				if np.Base.AmISame(d) {
+					np.Power -= 1
+					md.CS[i] = nil
+					changed = true
+					break
+				}
+			} else if d.ExprType() == POWI {
+				nd := d.(*PowI)
+				if nd.Base.AmISame(n) {
+					nd.Power -= 1
+					D.Numer = NewConstantF(1.0)
+					changed = true
+					break
+				}
+			}
+		}
+	} else {
+		n, d := D.Numer, D.Denom
+		if n.AmISame(d) {
+			D.Numer = NewConstantF(1.0)
+			D.Denom = nil
+			changed = true
+		} else if n.ExprType() == POWI && d.ExprType() == POWI {
+			// fmt.Println("Got Here 1")
+			np, dp := n.(*PowI), d.(*PowI)
+			if np.Base.AmISame(dp.Base) {
+				if np.Power > dp.Power {
+					np.Power -= dp.Power
+					D.Denom = nil
+					changed = true
+				} else if np.Power < dp.Power {
+					dp.Power -= np.Power
+					D.Numer = NewConstantF(1.0)
+					changed = true
+				} else { // same and should cancel
+					// will we even get here?
+					D.Numer = NewConstantF(1.0)
+					D.Denom = nil
+					changed = true
+				}
+			}
+		} else if n.ExprType() == POWI {
+			// fmt.Println("Got Here 2")
+			np := n.(*PowI)
+			if np.Base.AmISame(d) {
+				np.Power -= 1
+				D.Denom = nil
+				changed = true
+			}
+		} else if d.ExprType() == POWI {
+			// fmt.Println("Got Here 3")
+			nd := d.(*PowI)
+			if nd.Base.AmISame(n) {
+				nd.Power -= 1
+				D.Numer = NewConstantF(1.0)
+				changed = true
+			}
+		}
+	}
+
+	if changed {
+		t1, t2 = NULL, NULL
+		if D.Numer != nil {
+			D.Numer = D.Numer.Simplify(rules)
+			if D.Numer != nil {
+				t1 = D.Numer.ExprType()
+			}
+		}
+		if D.Denom != nil {
+			D.Denom = D.Denom.Simplify(rules)
+			if D.Denom != nil {
+				t2 = D.Denom.ExprType()
+			}
+		}
+
+		// check to see if nulls/nils
+		if t1 == NULL && t2 == NULL {
+			ret = nil
+		} else if t1 == NULL {
+			D.Numer = NewConstantF(1.0)
+			ret = D
+			return ret
+		} else if t2 == NULL {
+			ret = D.Numer
+			D.Numer = nil
+			D.Denom = nil
+			return ret
+		}
+	}
+
+	return ret
+}
+
+func (n *Add) Simplify(rules SimpRules) Expr {
+	var ret Expr = n
+	hasSome := false
+	// fmt.Printf("n.CS = %v\n",n.CS)
+	for i, C := range n.CS {
+		if C != nil {
+			n.CS[i] = C.Simplify(rules)
+			if n.CS[i] == nil {
+				continue
+			}
+			if n.CS[i].ExprType() == NULL {
+				n.CS[i] = nil
+			} else {
+				hasSome = true
+			}
+		}
+	}
+
+	if !hasSome {
+		return nil
+	}
+
+	changed := true
+	for changed {
+		// fmt.Printf("iter = %v\n",n.CS)
+		// fmt.Printf("ADD:  %v\n", n)
+		changed = false
+		if rules.ConvertConsts {
+			changed = changed || gatherAddTerms(n)
+			// fmt.Printf("GTH:  %v\n", n)
+			changed = changed || groupAddTerms(n)
+			// fmt.Printf("GRP:  %v\n", n)
+		} else {
+			changed = changed || gatherAddTerms(n)
+			// fmt.Printf("GTH:  %v\n", n)
+			changed = changed || groupAddTermsF(n)
+			// fmt.Printf("GRP:  %v\n", n)
+		}
+		n.Sort()
+		// fmt.Printf("SRT:  %v\n", n)
+	}
+	// fmt.Printf("POST:  %v\n\n\n", n)
+
+	cnt := countTerms(n.CS)
+	if cnt == 0 {
+		ret = nil
+	}
+	if cnt == 1 {
+		ret = n.CS[0]
+		n.CS[0] = nil
+	}
+	// fmt.Printf("exit = %v\n",n.CS)
+
+	return ret
+}
+
+func (n *Mul) Simplify(rules SimpRules) Expr {
+
+	var ret Expr = n
+
+	changed := true
+	for changed {
+		for i, C := range n.CS {
+			if C != nil {
+				n.CS[i] = C.Simplify(rules)
+				if n.CS[i] == nil {
+					continue
+				}
+				if n.CS[i].ExprType() == NULL {
+					n.CS[i] = nil
+				}
+			}
+		}
+
+		// fmt.Printf("MUL:  %v\n", n)
+		changed = false
+		if rules.ConvertConsts {
+			changed = changed || gatherMulTerms(n)
+			// fmt.Printf("GTH:  %v\n", n)
+			changed = changed || groupMulTerms(n)
+			// fmt.Printf("GRP:  %v\n", n)
+		} else {
+			changed = changed || gatherMulTermsF(n)
+			// fmt.Printf("GTH:  %v\n", n)
+			changed = changed || groupMulTermsF(n)
+			// fmt.Printf("GRP:  %v\n", n)
+		}
+		n.Sort()
+		// fmt.Printf("SRT:  %v\n", n)
+	}
+	// fmt.Printf("POST:  %v\n\n\n", n)
+
+	cnt := countTerms(n.CS)
+	if cnt == 0 {
+		ret = nil
+	}
+	if cnt == 1 {
+		// fmt.Printf("ARRRRGGGGG   %v\n", n.CS)
+		ret = n.CS[0]
+		n.CS[0] = nil
+	}
+	return ret
+}
+
+func countTerms(terms []Expr) int {
+	cnt := 0
+	for _, e := range terms {
+		if e != nil {
+			cnt++
+		}
+	}
+	return cnt
+}
+
+// this function left aligns children terms ( ie move nils to end of terms[] )
+// and returns the number of children
+func leftAlignTerms(terms []Expr) int {
+	cnt, nilp := 0, -1
+	for i, e := range terms {
+		if e != nil {
+			// fmt.Printf( "TERMS(%d/%d): %v\n", i,nilp, terms )
+			cnt++
+			if nilp >= 0 {
+				terms[nilp], terms[i] = terms[i], nil
+				nilp++
+				// find next nil spot
+				for nilp < len(terms) {
+					if terms[nilp] == nil {
+						break
+					} else {
+						nilp++
+					}
+				}
+				if nilp >= len(terms) {
+					break
+				} // the outer loop
+			}
+		} else if nilp < 0 {
+			nilp = i
+		}
+	}
+	return cnt
+}
+
+// pulls recursive adds into the current add
+func gatherAddTerms(n *Add) (changed bool) {
+	terms := make([]Expr, 0)
+	// terms := n.CS
+	// fmt.Printf("n.CS: %v\n", n.CS[:])
+	for i, e := range n.CS {
+		if e == nil {
+			continue
+		}
+		if e.ExprType() == ADD {
+			// fmt.Printf("got here\n")
+			changed = true
+			a := e.(*Add)
+			for j, E := range a.CS {
+				if E == nil {
+					continue
+				}
+				terms = append(terms, E)
+				a.CS[j] = nil
+			}
+			// rem := leftAlignTerms(a.CS[:])
+			// if rem == 0 {
+			n.CS[i] = nil
+			// }
+			// leftAlignTerms(terms)
+		} else {
+			terms = append(terms, e)
+		}
+	}
+	// fmt.Printf("terms: %v\n", terms)
+	n.CS = terms
+	return changed
+}
+
+// pulls recursive muls into the current mul
+func gatherMulTerms(n *Mul) (changed bool) {
+	terms := make([]Expr, 0)
+	hasCoeff := false
+	var coeff *ConstantF = nil
+	hasDiv := -1
+	for i, e := range n.CS {
+		if e == nil {
+			continue
+		}
+		switch e.ExprType() {
+
+		case CONSTANT:
+			if !hasCoeff {
+				terms = append(terms, e)
+				hasCoeff = true
+			} else {
+				changed = true
+			}
+
+		case CONSTANTF:
+			// changed = true
+			if coeff == nil {
+				// hasCoeff = true
+				coeff = e.(*ConstantF)
+				terms = append(terms, e)
+				// terms = append(terms, NewConstant(-1))
+			} else {
+				coeff.F *= e.(*ConstantF).F
+			}
+			n.CS[i] = nil
+
+		case NEG:
+			changed = true
+			neg := e.(*Neg)
+			if !hasCoeff {
+				mul := NewMul()
+				mul.Insert(NewConstantF(-1))
+				mul.Insert(neg.C)
+				neg.C = nil
+				terms = append(terms, mul)
+				hasCoeff = true
+			} else {
+				terms = append(terms, neg.C)
+				neg.C = nil
+			}
+
+		case DIV:
+			if hasDiv == -1 {
+				hasDiv = i // store the first div occurance
+			}
+			terms = append(terms, e)
+		case MUL:
+			changed = true
+			a := e.(*Mul)
+			leftAlignTerms(a.CS[:])
+			for j, E := range a.CS {
+				if E == nil {
+					continue
+				}
+				if e.ExprType() == CONSTANT {
+					if !hasCoeff {
+						hasCoeff = true
+						terms = append(terms, E)
+					}
+					a.CS[i] = nil
+				} else {
+					terms = append(terms, E)
+					a.CS[j] = nil
+				}
+			}
+			rem := leftAlignTerms(a.CS[:])
+			if rem == 0 {
+				n.CS[i] = nil
+			}
+			leftAlignTerms(terms)
+
+		default:
+			terms = append(terms, e)
+		}
+	}
+	n.CS = terms
+
+	if hasDiv > -1 && len(n.CS) > 1 {
+		changed = true
+		numer := NewMul()
+		denom := NewMul()
+		for i, e := range n.CS {
+			if e == nil {
+				continue
+			}
+			switch e.ExprType() {
+			case DIV:
+				d := e.(*Div)
+				numer.Insert(d.Numer)
+				denom.Insert(d.Denom)
+			// case POWI:
+			// case POWF:
+			default:
+				numer.Insert(e)
+			}
+			n.CS[i] = nil
+		}
+		n.Insert(NewDiv(numer, denom))
+	}
+	return changed
+}
+
+// group like terms in an addition
+func groupAddTerms(n *Add) (changed bool) {
+	terms := n.CS
+	for i, x := range terms {
+		// fmt.Printf("TERMS:  %v\n", terms)
+		if x == nil {
+			continue
+		}
+		xT := x.ExprType()
+		same := false
+		for j := i + 1; j < len(terms); j++ {
+			y := terms[j]
+			// fmt.Printf("%d-%d  %v  %v\n", i, j, x, y)
+			if y == nil {
+				continue
+			}
+
+			//  F(x) +  F(x)
+			// cF(x) + dF(x)
+			// cF(x) +  F(x)
+			//  F(x) + cF(x)
+			if x.AmIAlmostSame(y) || y.AmIAlmostSame(x) { // both directions ensures Mul.AmIAlmostSame()... with only one FAIL on F(x) + cF(x)
+				same = true
+				terms[j] = nil
+			}
+
+			//  F(x) -  F(x)
+			// cF(x) - dF(x)
+			// cF(x) -  F(x)
+			//  F(x) - cF(x)
+			if xT == NEG {
+				c := x.(*Neg).C
+				if y.AmIAlmostSame(c) {
+					same = true
+					terms[j] = nil
+				}
+			}
+			yT := y.ExprType()
+			if yT == NEG {
+				c := y.(*Neg).C
+				if x.AmIAlmostSame(c) {
+					same = true
+					terms[j] = nil
+				}
+			}
+
+		}
+		if same {
+			changed = true
+			// fmt.Printf("groupAddTerms: %v\n", terms)
+			// extract x.C if neg
+			if xT == NEG {
+				x = x.(*Neg).C
+				xT = x.ExprType()
+			}
+			if xT == MUL {
+				mul := x.(*Mul)
+				if !(mul.CS[0].ExprType() == CONSTANT) {
+					mul.Insert(NewConstantF(1.0))
+				}
+			} else {
+				mul := NewMul()
+				mul.Insert(NewConstantF(1.0))
+				mul.Insert(x)
+				terms[i] = mul
+			}
+		}
+
+	}
+	return
+}
+
+// group like terms in a multiplication
+func groupMulTerms(m *Mul) (changed bool) {
+	terms := m.CS
+	L := len(terms)
+	hasConst := false
+	var coeff *ConstantF = nil
+
+	for i, x := range terms {
+		if x == nil {
+			continue
+		}
+
+		// setting up current term
+		powSum := 1.0
+
+		xT := x.ExprType()
+		if xT == CONSTANT && !hasConst {
+			hasConst = true
+		}
+
+		if xT == CONSTANTF {
+			if coeff == nil {
+				coeff = x.(*ConstantF)
+			} else {
+				coeff.F *= x.(*ConstantF).F
+				terms[i] = nil
+				continue
+			}
+		}
+
+		var xC Expr
+		xTb := NULL
+		switch xT {
+		case NEG:
+			xC = x.(*Neg).C
+			xTb = xC.ExprType()
+		case POWI:
+			p := x.(*PowI)
+			xC = p.Base
+			xTb = p.Base.ExprType()
+			powSum = float64(p.Power)
+		case POWF:
+			p := x.(*PowF)
+			xC = p.Base
+			xTb = p.Base.ExprType()
+			powSum = p.Power
+		case POWE:
+			p := x.(*PowE)
+			if p.Power.ExprType() == CONSTANTF {
+				xC = p.Base
+				xTb = p.Base.ExprType()
+				powSum = p.Power.(*ConstantF).F
+			}
+		}
+
+		for j := i + 1; j < L; j++ {
+			y := terms[j]
+			if y == nil {
+				continue
+			}
+
+			// setting up following term(s)
+			powY := 1.0
+			yT := y.ExprType()
+			if yT == CONSTANT && !hasConst {
+				hasConst = true
+			}
+
+			if yT == CONSTANTF {
+				if coeff == nil {
+					coeff = y.(*ConstantF)
+				} else {
+					coeff.F *= y.(*ConstantF).F
+					terms[j] = nil
+					continue
+				}
+			}
+
+			var yC Expr
+			yTb := NULL
+			switch yT {
+			case NEG:
+				yC = y.(*Neg).C
+				yTb = yC.ExprType()
+			case POWI:
+				p := y.(*PowI)
+				yC = p.Base
+				yTb = p.Base.ExprType()
+				powY = float64(p.Power)
+			case POWF:
+				p := y.(*PowF)
+				yC = p.Base
+				yTb = p.Base.ExprType()
+				powY = p.Power
+			case POWE:
+				p := y.(*PowE)
+				if p.Power.ExprType() == CONSTANTF {
+					yC = p.Base
+					yTb = p.Base.ExprType()
+					powY = p.Power.(*ConstantF).F
+				}
+			}
+
+			// fmt.Println("Types: ", xT, xTb, yT, yTb)
+
+			// This is the actual comparison Code
+			same := false
+			if xT == yT {
+				if x.AmISame(y) {
+					same = true
+					powSum += powY
+				}
+				if xTb == yTb && xTb != NULL {
+					if xC.AmISame(yC) {
+						same = true
+						powSum += powY
+					}
+				}
+			} else if xTb == yT {
+				if xC.AmISame(y) {
+					same = true
+					powSum += powY
+				}
+			} else if xT == yTb {
+				if x.AmISame(yC) {
+					same = true
+					powSum += powY
+				}
+			} else if xTb == yTb && xTb != NULL {
+				if xC.AmISame(yC) {
+					same = true
+					powSum += powY
+				}
+			}
+
+			// Check the results of camparison update the terms
+			if same {
+				// fmt.Printf("GotHERE\n")
+				terms[j] = nil
+				changed = true
+				if powSum == 0 {
+					terms[i] = nil // remove the lhs term
+				} else if powSum == 1 {
+					// what is lhs?
+					// if PowI || Neg || ? :: then extract Base
+					if xTb != NULL {
+						switch xT {
+						case NEG:
+							terms[i] = x.(*Neg).C
+						case POWI:
+							terms[i] = x.(*PowI).Base
+						case POWF:
+							terms[i] = x.(*PowF).Base
+						}
+					}
+				} else {
+					// whole or fractional power?
+					flr := math.Floor(powSum)
+					dim := math.Dim(powSum, flr)
+					if dim == 0 {
+						// whole power
+						base := x
+						if xT != POWI {
+							if xTb != NULL {
+								switch xT {
+								case NEG:
+									base = x.(*Neg).C
+								case POWF:
+									base = x.(*PowF).Base
+								}
+							}
+							base = NewPowI(base, int(powSum))
+						} else {
+							base.(*PowI).Power = int(powSum)
+						}
+						terms[i] = base
+					} else {
+						// fractional power
+						base := x
+						if xT != POWF {
+							if xTb != NULL {
+								switch xT {
+								case NEG:
+									base = x.(*Neg).C
+								case POWI:
+									base = x.(*PowI).Base
+								}
+							}
+							base = NewPowF(base, powSum)
+						} else {
+							base.(*PowF).Power = powSum
+						}
+					}
+				}
+			}
+		}
+
+	}
+	return
+}
+
+// pulls recursive muls into the current mul
+func gatherMulTermsF(n *Mul) (changed bool) {
+	terms := make([]Expr, 0)
+	hasCoeff := false
+	var coeff *ConstantF = nil
+	hasDiv := -1
+	for i, e := range n.CS {
+		if e == nil {
+			continue
+		}
+		switch e.ExprType() {
+
+		case CONSTANT:
+			if !hasCoeff {
+				terms = append(terms, e)
+				hasCoeff = true
+			} else {
+				changed = true
+			}
+
+		case CONSTANTF:
+			// changed = true
+			if coeff == nil {
+				// hasCoeff = true
+				coeff = e.(*ConstantF)
+				terms = append(terms, e)
+				// terms = append(terms, NewConstant(-1))
+			} else {
+				coeff.F *= e.(*ConstantF).F
+			}
+			n.CS[i] = nil
+
+		case NEG:
+			changed = true
+			neg := e.(*Neg)
+			if !hasCoeff {
+				mul := NewMul()
+				mul.Insert(NewConstantF(-1))
+				mul.Insert(neg.C)
+				neg.C = nil
+				terms = append(terms, mul)
+				hasCoeff = true
+			} else {
+				terms = append(terms, neg.C)
+				neg.C = nil
+			}
+
+		case DIV:
+			if hasDiv == -1 {
+				hasDiv = i // store the first div occurance
+			}
+			terms = append(terms, e)
+		case MUL:
+			changed = true
+			a := e.(*Mul)
+			leftAlignTerms(a.CS[:])
+			for j, E := range a.CS {
+				if E == nil {
+					continue
+				}
+				if e.ExprType() == CONSTANT || e.ExprType() == CONSTANTF {
+					if !hasCoeff {
+						hasCoeff = true
+						terms = append(terms, E)
+					}
+					a.CS[i] = nil
+				} else {
+					terms = append(terms, E)
+					a.CS[j] = nil
+				}
+			}
+			rem := leftAlignTerms(a.CS[:])
+			if rem == 0 {
+				n.CS[i] = nil
+			}
+			leftAlignTerms(terms)
+
+		default:
+			terms = append(terms, e)
+		}
+	}
+	n.CS = terms
+
+	if hasDiv > -1 && len(n.CS) > 1 {
+		changed = true
+		numer := NewMul()
+		denom := NewMul()
+		for i, e := range n.CS {
+			if e == nil {
+				continue
+			}
+			switch e.ExprType() {
+			case DIV:
+				d := e.(*Div)
+				numer.Insert(d.Numer)
+				denom.Insert(d.Denom)
+			// case POWI:
+			// case POWF:
+			default:
+				numer.Insert(e)
+			}
+			n.CS[i] = nil
+		}
+		n.Insert(NewDiv(numer, denom))
+	}
+	return changed
+}
+
+// group like terms in an addition
+func groupAddTermsF(n *Add) (changed bool) {
+	terms := n.CS
+	for i, x := range terms {
+		// fmt.Printf("TERMS:  %v\n", terms)
+		if x == nil {
+			continue
+		}
+		xT := x.ExprType()
+		same := false
+		sum := 1.0
+		if xT == MUL && x.(*Mul).CS[0].ExprType() == CONSTANTF {
+			sum = x.(*Mul).CS[0].(*ConstantF).F
+		} else if xT == NEG {
+			sum = -1.0
+		}
+		for j := i + 1; j < len(terms); j++ {
+			y := terms[j]
+			// fmt.Printf("%d-%d  %v  %v\n", i, j, x, y)
+			if y == nil {
+				continue
+			}
+			yT := y.ExprType()
+
+			//  F(x) +  F(x)
+			// cF(x) + dF(x)
+			// cF(x) +  F(x)
+			//  F(x) + cF(x)
+			if x.AmIAlmostSame(y) || y.AmIAlmostSame(x) { // both directions ensures Mul.AmIAlmostSame()... with only one FAIL on F(x) + cF(x)
+				if yT == MUL && y.(*Mul).CS[0].ExprType() == CONSTANTF {
+					sum += y.(*Mul).CS[0].(*ConstantF).F
+				} else {
+					sum += 1.0
+				}
+				same = true
+				terms[j] = nil
+			}
+
+			//  F(x) -  F(x)
+			// cF(x) - dF(x)
+			// cF(x) -  F(x)
+			//  F(x) - cF(x)
+			if xT == NEG {
+				// fmt.Printf("GOT HERE xT NEG\n")
+				c := x.(*Neg).C
+				if y.AmIAlmostSame(c) {
+					// fmt.Printf("GOT HERE xT NEG y almostSame\n")
+					if yT == MUL && y.(*Mul).CS[0].ExprType() == CONSTANTF {
+						sum += y.(*Mul).CS[0].(*ConstantF).F
+					} else {
+						sum += 1.0
+					}
+					same = true
+					terms[j] = nil
+				}
+			}
+			if yT == NEG {
+				c := y.(*Neg).C
+				if x.AmIAlmostSame(c) {
+					if c.ExprType() == MUL && c.(*Mul).CS[0].ExprType() == CONSTANTF {
+						sum -= c.(*Mul).CS[0].(*ConstantF).F
+					} else {
+						sum -= 1.0
+					}
+					same = true
+					terms[j] = nil
+				}
+			}
+
+		}
+		if same {
+			changed = true
+			// fmt.Printf("sum = %v\n", sum)
+			// fmt.Printf("groupAddTerms: %v\n", terms)
+			if sum == 0.0 {
+				terms[i] = NewConstantF(sum)
+				continue
+			} else if sum == 1.0 {
+				if xT == NEG {
+					terms[i] = x.(*Neg).C
+				}
+				continue
+			} else if sum == -1.0 {
+				if xT != NEG {
+					terms[i] = NewNeg(x)
+				}
+				continue
+			} else {
+
+				// extract x.C if neg
+				if xT == NEG {
+					// fmt.Printf("xT is NEG\n")
+					x = x.(*Neg).C
+					xT = x.ExprType()
+				}
+				if xT == MUL {
+					// fmt.Printf("xT is MUL\n")
+					mul := x.(*Mul)
+					if !(mul.CS[0].ExprType() == CONSTANTF) {
+						mul.Insert(NewConstantF(sum))
+					} else {
+						mul.CS[0].(*ConstantF).F = sum
+					}
+				} else {
+					mul := NewMul()
+					mul.Insert(NewConstantF(sum))
+					mul.Insert(x)
+					terms[i] = mul
+				}
+			}
+		}
+
+	}
+	return
+}
+
+// group like terms in a multiplication
+func groupMulTermsF(m *Mul) (changed bool) {
+	terms := m.CS
+	L := len(terms)
+	hasConst := false
+	var coeff *ConstantF = nil
+
+	for i, x := range terms {
+		if x == nil {
+			continue
+		}
+
+		// setting up current term
+		powSum := 1.0
+
+		xT := x.ExprType()
+		if xT == CONSTANT && !hasConst {
+			hasConst = true
+		}
+
+		if xT == CONSTANTF {
+			if coeff == nil {
+				coeff = x.(*ConstantF)
+			} else {
+				coeff.F *= x.(*ConstantF).F
+				terms[i] = nil
+				continue
+			}
+		}
+
+		var xC Expr
+		xTb := NULL
+		switch xT {
+		case NEG:
+			xC = x.(*Neg).C
+			xTb = xC.ExprType()
+		case POWI:
+			p := x.(*PowI)
+			xC = p.Base
+			xTb = p.Base.ExprType()
+			powSum = float64(p.Power)
+		case POWF:
+			p := x.(*PowF)
+			xC = p.Base
+			xTb = p.Base.ExprType()
+			powSum = p.Power
+		}
+
+		for j := i + 1; j < L; j++ {
+			y := terms[j]
+			if y == nil {
+				continue
+			}
+
+			// setting up following term(s)
+			powY := 1.0
+			yT := y.ExprType()
+			if yT == CONSTANT && !hasConst {
+				hasConst = true
+			}
+
+			if yT == CONSTANTF {
+				if coeff == nil {
+					coeff = y.(*ConstantF)
+				} else {
+					coeff.F *= y.(*ConstantF).F
+					terms[j] = nil
+					continue
+				}
+			}
+
+			var yC Expr
+			yTb := NULL
+			switch yT {
+			case NEG:
+				yC = y.(*Neg).C
+				yTb = yC.ExprType()
+			case POWI:
+				p := y.(*PowI)
+				yC = p.Base
+				yTb = p.Base.ExprType()
+				powY = float64(p.Power)
+			case POWF:
+				p := y.(*PowF)
+				yC = p.Base
+				yTb = p.Base.ExprType()
+				powY = p.Power
+			}
+
+			// This is the actual comparison Code
+			same := false
+			if xT == yT {
+				if x.AmISame(y) {
+					same = true
+					powSum += powY
+				}
+			} else if xTb == yT {
+				if xC.AmISame(y) {
+					same = true
+					powSum += powY
+				}
+			} else if xT == yTb {
+				if x.AmISame(yC) {
+					same = true
+					powSum += powY
+				}
+			} else if xTb == yTb && xTb != NULL {
+				if xC.AmISame(yC) {
+					same = true
+					powSum += powY
+				}
+			}
+
+			// Check the results of camparison update the terms
+			if same {
+				terms[j] = nil
+				changed = true
+				if powSum == 0 {
+					terms[i] = nil // remove the lhs term
+				} else if powSum == 1 {
+					// what is lhs?
+					// if PowI || Neg || ? :: then extract Base
+					if xTb != NULL {
+						switch xT {
+						case NEG:
+							terms[i] = x.(*Neg).C
+						case POWI:
+							terms[i] = x.(*PowI).Base
+						case POWF:
+							terms[i] = x.(*PowF).Base
+						}
+					}
+				} else {
+					// // whole or fractional power?
+					// flr := math.Floor(powSum)
+					// dim := math.Dim(powSum, flr)
+					// if dim == 0 {
+					// 	// whole power
+					// 	base := x
+					// 	if xT != POWI {
+					// 		if xTb != NULL {
+					// 			switch xT {
+					// 			case NEG:
+					// 				base = x.(*Neg).C
+					// 			case POWF:
+					// 				base = x.(*PowF).Base
+					// 			}
+					// 		}
+					// 		base = NewPowI(base, int(powSum))
+					// 	} else {
+					// 		base.(*PowI).Power = int(powSum)
+					// 	}
+					// 	terms[i] = base
+					// } else {
+					// fractional power
+					base := x
+					if xT != POWF {
+						if xTb != NULL {
+							switch xT {
+							case NEG:
+								base = x.(*Neg).C
+							case POWI:
+								base = x.(*PowI).Base
+							}
+						}
+						base = NewPowF(base, powSum)
+					} else {
+						base.(*PowF).Power = powSum
+					}
+					// }
+				}
+			}
+		}
+
+	}
+	return
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/simp_test.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/simp_test.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/simp_test.go	(revision 16620)
@@ -0,0 +1,1290 @@
+package symexpr
+
+import (
+	"testing"
+
+	"fmt"
+	"math"
+)
+
+func Test_SimpLeafs(TEST *testing.T) {
+	fmt.Printf("Testing: Simplifying Leafs    ")
+	var rules = DefaultRules()
+
+	t := NewTime()
+	t_simp := t.Simplify(rules)
+	if t != t_simp {
+		TEST.Fatalf("FAIL Time: t != t_simp  ~  %v -> %v", t, t_simp)
+	} else {
+		TEST.Logf("Time Simp:  %v -> %v", t, t_simp)
+	}
+
+	v := NewVar(0)
+	v_simp := v.Simplify(rules)
+	if v != v_simp {
+		TEST.Fatalf("FAIL Var: v != v_simp ~  %v ->%v", v, v_simp)
+	} else {
+		TEST.Logf("Var Simp:  %v -> %v", v, v_simp)
+	}
+
+	c := NewConstant(0)
+	c_simp := c.Simplify(rules)
+	if c != c_simp {
+		TEST.Fatalf("FAIL Constant: c != c_simp  ~  %v -> %v", c, c_simp)
+	} else {
+		TEST.Logf("Constant Simp  %v -> %v", c, c_simp)
+	}
+
+	s := NewSystem(0)
+	s_simp := s.Simplify(rules)
+	if s != s_simp {
+		TEST.Fatalf("FAIL System: s != s_simp  ~  %v -> %v", s, s_simp)
+	} else {
+		TEST.Logf("System Simp:  %v -> %v", s, s_simp)
+	}
+
+	f := NewConstantF(3.141529)
+	f_simp := f.Simplify(rules)
+	if f != f_simp {
+		TEST.Fatalf("FAIL ConstantF: f != f_simp  ~  %v -> %v", f, f_simp)
+	} else {
+		TEST.Logf("ConstantF Simp:  %v -> %v", f, f_simp)
+	}
+
+	n := NewConstantF(math.NaN())
+	n_simp := n.Simplify(rules)
+	if n_simp != nil {
+		TEST.Fatalf("FAIL NaN: n_simp != nil  ~  %v -> %v", n, n_simp)
+	} else {
+		TEST.Logf("NaN Simp:  %v -> %v", n, n_simp)
+	}
+
+	i := NewConstantF(math.Inf(1))
+	i_simp := i.Simplify(rules)
+	if i_simp != nil {
+		TEST.Fatalf("FAIL Inf: i == i_simp  ~  %v -> %v", i, i_simp)
+	} else {
+		TEST.Logf("Inf Simp:  %v -> %v", i, i_simp)
+	}
+
+	fmt.Printf("Passed\n")
+}
+
+func Test_SimpNeg(TEST *testing.T) {
+	fmt.Printf("Testing: Simplifying Neg      ")
+	var rules = DefaultRules()
+
+	nn := NewNeg(nil)
+	nn_simp := nn.Simplify(rules)
+	if nn_simp != nil {
+		TEST.Fatalf("FAIL NegNil: nn_simp != nil  ~  %v -> %v", nn, nn_simp)
+	} else {
+		TEST.Logf("NegNil:  %v -> %v", nn, nn_simp)
+	}
+
+	nl := NewNeg(NewNull())
+	nl_simp := nl.Clone().Simplify(rules)
+	if nl_simp != nil {
+		TEST.Fatalf("FAIL NegNull: nn_simp != Null  ~  %v -> %v", nl, nl_simp)
+	} else {
+		TEST.Logf("NegNull:  %v -> %v", nl, nl_simp)
+	}
+
+	nv := NewNeg(NewVar(0))
+	nv_simp := nv.Simplify(rules)
+	if nv != nv_simp {
+		TEST.Fatalf("FAIL NegVar: nv != nv_simp  ~  %v -> %v", nv, nv_simp)
+	} else {
+		TEST.Logf("NegVar:  %v -> %v", nv, nv_simp)
+	}
+
+	c := NewConstant(0)
+	nc := NewNeg(c)
+	nc_simp := nc.Clone().Simplify(rules)
+	if !c.AmISame(nc_simp) {
+		TEST.Fatalf("FAIL NegConst: c != nc_simp  ~  %v -> %v", nc, nc_simp)
+	} else {
+		TEST.Logf("NegConst:  %v -> %v", nc, nc_simp)
+	}
+
+	m := NewMul()
+	m.Insert(NewVar(0))
+	m.Insert(NewConstant(0))
+	nm := NewNeg(m)
+	nm_simp := nm.Clone().Simplify(rules)
+	if !nm_simp.AmISame(m) {
+		TEST.Fatalf("FAIL NegMul: m != nm_simp  ~  %v -> %v", nm, nm_simp)
+	} else {
+		TEST.Logf("NegMul:  %v -> %v", nm, nm_simp)
+	}
+
+	fmt.Printf("Passed\n")
+}
+
+func Test_SimpAbs(TEST *testing.T) {
+	fmt.Printf("Testing: Simplifying Abs      ")
+	var rules = DefaultRules()
+
+	nn := NewAbs(nil)
+	nn_simp := nn.Clone().Simplify(rules)
+	if nn_simp != nil {
+		TEST.Fatalf("FAIL AbsNil: nn_simp != nil  ~  %v -> %v", nn, nn_simp)
+	} else {
+		TEST.Logf("AbsNil:  %v -> %v", nn, nn_simp)
+	}
+
+	nl := NewAbs(NewNull())
+	nl_simp := nl.Clone().Simplify(rules)
+	if nl_simp != nil {
+		TEST.Fatalf("FAIL AbsNull: nn_simp != Null  ~  %v -> %v", nl, nl_simp)
+	} else {
+		TEST.Logf("AbsNull:  %v -> %v", nl, nl_simp)
+	}
+
+	nv := NewAbs(NewVar(0))
+	nv_simp := nv.Simplify(rules)
+	if !nv.AmISame(nv_simp) {
+		TEST.Fatalf("FAIL AbsVar: nv != nv_simp  ~  %v -> %v", nv, nv_simp)
+	} else {
+		TEST.Logf("AbsVar:  %v -> %v", nv, nv_simp)
+	}
+
+	c := NewConstant(0)
+	nc := NewAbs(c)
+	nc_simp := nc.Simplify(rules)
+	if !nc.AmISame(nc_simp) {
+		TEST.Fatalf("FAIL AbsConst: c != nc_simp  ~  %v -> %v", nc, nc_simp)
+	} else {
+		TEST.Logf("AbsConst:  %v -> %v", nc, nc_simp)
+	}
+
+	m := NewMul()
+	m.Insert(NewVar(0))
+	m.Insert(NewConstant(0))
+	nm := NewAbs(m)
+	nm_simp := nm.Simplify(rules)
+	if !nm_simp.AmISame(nm) {
+		TEST.Fatalf("FAIL AbsMul: m != nm_simp  ~  %v -> %v", nm, nm_simp)
+	} else {
+		TEST.Logf("AbsMul:  %v -> %v", nm, nm_simp)
+	}
+
+	fmt.Printf("Passed\n")
+}
+
+func Test_SimpSqrt(TEST *testing.T) {
+	fmt.Printf("Testing: Simplifying Sqrt     ")
+	var rules = DefaultRules()
+
+	nn := NewSqrt(nil)
+	nn_simp := nn.Clone().Simplify(rules)
+	if nn_simp != nil {
+		TEST.Fatalf("FAIL SqrtNil: nn_simp != nil  ~  %v -> %v", nn, nn_simp)
+	} else {
+		TEST.Logf("SqrtNil:  %v -> %v", nn, nn_simp)
+	}
+
+	nl := NewSqrt(NewNull())
+	nl_simp := nl.Clone().Simplify(rules)
+	if nl_simp != nil {
+		TEST.Fatalf("FAIL SqrtNull: nn_simp != Null  ~  %v -> %v", nl, nl_simp)
+	} else {
+		TEST.Logf("SqrtNull:  %v -> %v", nl, nl_simp)
+	}
+
+	ns := NewSqrt(NewSqrt(NewVar(0)))
+	ns_simp := ns.Clone().Simplify(rules)
+	ns_corr := NewPowF(NewVar(0), 0.25)
+	if !ns_simp.AmISame(ns_corr) {
+		TEST.Fatalf("FAIL SqrtSqrt: ns_simp != ns_corr  ~  %v -> %v  ==  %v", ns, ns_simp, ns_corr)
+	} else {
+		TEST.Logf("SqrtSqrt:  %v -> %v", ns, ns_simp)
+	}
+
+	c := NewConstant(0)
+	nc := NewSqrt(c)
+	nc_simp := nc.Clone().Simplify(rules)
+	if !c.AmISame(nc_simp) {
+		TEST.Fatalf("FAIL SqrtConst: c != nc_simp  ~  %v -> %v", nc, nc_simp)
+	} else {
+		TEST.Logf("SqrtConst:  %v -> %v", nc, nc_simp)
+	}
+
+	nf := NewSqrt(NewPowF(NewVar(0), 3.14))
+	nf_simp := nf.Clone().Simplify(rules)
+	nf_corr := NewPowF(NewVar(0), 3.14/2.0)
+	if !nf_simp.AmISame(nf_corr) {
+		TEST.Fatalf("FAIL SqrtPowF: nf_simp != nf_corr  ~  %v -> %v  ==  %v", nf, nf_simp, nf_corr)
+	} else {
+		TEST.Logf("SqrtPowF:  %v -> %v", nf, nf_simp)
+	}
+
+	ni1 := NewSqrt(NewPowI(NewVar(0), 1))
+	ni1_simp := ni1.Clone().Simplify(rules)
+	ni1_corr := NewSqrt(NewVar(0))
+	if !ni1_simp.AmISame(ni1_corr) {
+		TEST.Fatalf("FAIL SqrtPowI(ni1): ni1_simp != ni1_corr  ~  %v -> %v  ==  %v", ni1, ni1_simp, ni1_corr)
+	} else {
+		TEST.Logf("SqrtPowI(ni1):  %v -> %v", ni1, ni1_simp)
+	}
+
+	//   ni1n := NewSqrt(NewPowI(NewVar(0),-1))
+	//   ni1n_simp := ni1n.Clone().Simplify(rules)
+	//   ni1n_corr := NewSqrt(NewVar(0))
+	//   if !ni1n_simp.AmISame(ni1n_corr) {
+	// 	TEST.Fatalf( "FAIL SqrtPowI(ni1n): ni1n_simp != ni1n_corr  ~  %v -> %v  ==  %v", ni1n,ni1n_simp, ni1n_corr )
+	//   } else {
+	// 	TEST.Logf( "SqrtPowI(ni1n):  %v -> %v", ni1n,ni1n_simp )
+	//   }
+	//
+	//   ni2 := NewSqrt(NewPowI(NewVar(0),2))
+	//   ni2_simp := ni2.Clone().Simplify(rules)
+	//   ni2_corr := NewSqrt(NewVar(0))
+	//   if !ni2_simp.AmISame(ni2_corr) {
+	// 	TEST.Fatalf( "FAIL SqrtPowI(ni2): ni2_simp != ni2_corr  ~  %v -> %v  ==  %v", ni2,ni2_simp, ni2_corr )
+	//   } else {
+	// 	TEST.Logf( "SqrtPowI(ni2):  %v -> %v", ni2,ni2_simp )
+	//   }
+	//
+	//   ni2n := NewSqrt(NewPowI(NewVar(0),-2))
+	//   ni2n_simp := ni2n.Clone().Simplify(rules)
+	//   ni2n_corr := NewSqrt(NewVar(0))
+	//   if !ni2n_simp.AmISame(ni2n_corr) {
+	// 	TEST.Fatalf( "FAIL SqrtPowI(ni2n): ni2n_simp != ni2n_corr  ~  %v -> %v  ==  %v", ni2n,ni2n_simp, ni2n_corr )
+	//   } else {
+	// 	TEST.Logf( "SqrtPowI(ni2n):  %v -> %v", ni2n,ni2n_simp )
+	//   }
+	//
+	//   niOdd := NewSqrt(NewPowI(NewVar(0),3))
+	//   niOdd_simp := niOdd.Clone().Simplify(rules)
+	//   niOdd_corr := NewSqrt(NewVar(0))
+	//   if !niOdd_simp.AmISame(niOdd_corr) {
+	// 	TEST.Fatalf( "FAIL SqrtPowI(niOdd): niOdd_simp != niOdd_corr  ~  %v -> %v  ==  %v", niOdd,niOdd_simp, niOdd_corr )
+	//   } else {
+	// 	TEST.Logf( "SqrtPowI(niOdd):  %v -> %v", niOdd,niOdd_simp )
+	//   }
+	//
+	//   niOddn := NewSqrt(NewPowI(NewVar(0),-3))
+	//   niOddn_simp := niOddn.Clone().Simplify(rules)
+	//   niOddn_corr := NewSqrt(NewVar(0))
+	//   if !niOddn_simp.AmISame(niOddn_corr) {
+	// 	TEST.Fatalf( "FAIL SqrtPowI(niOddn): niOddn_simp != niOddn_corr  ~  %v -> %v  ==  %v", niOddn,niOddn_simp, niOddn_corr )
+	//   } else {
+	// 	TEST.Logf( "SqrtPowI(niOddn):  %v -> %v", niOddn,niOddn_simp )
+	//   }
+	//
+	//   ni2N := NewSqrt(NewPowI(NewVar(0),4))
+	//   ni2N_simp := ni2N.Clone().Simplify(rules)
+	//   ni2N_corr := NewSqrt(NewVar(0))
+	//   if !ni2N_simp.AmISame(ni2N_corr) {
+	// 	TEST.Fatalf( "FAIL SqrtPowI(ni2N): ni2N_simp != ni2N_corr  ~  %v -> %v  ==  %v", ni2N,ni2N_simp, ni2N_corr )
+	//   } else {
+	// 	TEST.Logf( "SqrtPowI(ni2N):  %v -> %v", ni2N,ni2N_simp )
+	//   }
+	//
+	//   ni2Nn := NewSqrt(NewPowI(NewVar(0),-4))
+	//   ni2Nn_simp := ni2Nn.Clone().Simplify(rules)
+	//   ni2Nn_corr := NewSqrt(NewVar(0))
+	//   if !ni2Nn_simp.AmISame(ni2Nn_corr) {
+	// 	TEST.Fatalf( "FAIL SqrtPowI(ni2Nn): ni2Nn_simp != ni2Nn_corr  ~  %v -> %v  ==  %v", ni2Nn,ni2Nn_simp, ni2Nn_corr )
+	//   } else {
+	// 	TEST.Logf( "SqrtPowI(ni2Nn):  %v -> %v", ni2Nn,ni2Nn_simp )
+	//   }
+	//
+	//
+
+	// the following should not change
+
+	nv := NewSqrt(NewVar(0))
+	nv_simp := nv.Simplify(rules)
+	if nv != nv_simp {
+		TEST.Fatalf("FAIL SqrtVar: nv != nv_simp  ~  %v -> %v", nv, nv_simp)
+	} else {
+		TEST.Logf("SqrtVar:  %v -> %v", nv, nv_simp)
+	}
+
+	m := NewMul()
+	m.Insert(NewVar(0))
+	m.Insert(NewConstant(0))
+	nm := NewSqrt(m)
+	nm_simp := nm.Simplify(rules)
+	if nm_simp != nm {
+		TEST.Fatalf("FAIL SqrtMul: nm != nm_simp  ~  %v -> %v", nm, nm_simp)
+	} else {
+		TEST.Logf("SqrtMul:  %v -> %v", nm, nm_simp)
+	}
+
+	fmt.Printf("Passed\n")
+}
+
+func Test_SimpAdd(TEST *testing.T) {
+	fmt.Printf("Testing: Simplifying Add     ")
+	var rules = DefaultRules()
+
+	an := NewAdd()
+	an.Insert(nil)
+	an_simp := an.Clone().Simplify(rules)
+	if an_simp != nil {
+		TEST.Fatalf("FAIL AddNil: an_simp != nil  ~  %v -> %v", an, an_simp)
+	} else {
+		TEST.Logf("AddNil:  %v -> %v", an, an_simp)
+	}
+
+	al := NewAdd()
+	al.Insert(NewNull())
+	al_simp := al.Clone().Simplify(rules)
+	if al_simp != nil {
+		TEST.Fatalf("FAIL AddNull: nn_simp != Null  ~  %v -> %v", al, al_simp)
+	} else {
+		TEST.Logf("AddNull:  %v -> %v", al, al_simp)
+	}
+
+	as := NewAdd()
+	as.Insert(NewVar(0))
+	as_simp := as.Clone().Simplify(rules)
+	as_corr := NewVar(0)
+	if !as_simp.AmISame(as_corr) {
+		TEST.Fatalf("FAIL AddVar: as_simp != as_corr  ~  %v -> %v  ==  %v", as, as_simp, as_corr)
+	} else {
+		TEST.Logf("AddVar:  %v -> %v", as, as_simp)
+	}
+
+	c := NewConstant(0)
+	ac := NewAdd()
+	ac.Insert(c)
+	ac_simp := ac.Clone().Simplify(rules)
+	if !c.AmISame(ac_simp) {
+		TEST.Fatalf("FAIL AddConst: c != ac_simp  ~  %v -> %v", ac, ac_simp)
+	} else {
+		TEST.Logf("AddConst:  %v -> %v", ac, ac_simp)
+	}
+
+	// x + y
+	A1 := NewAdd()
+	A1.Insert(NewVar(0))
+	A1.Insert(NewVar(1))
+	// A1.CS[0], A1.CS[1] = A1.CS[1], A1.CS[0]
+	A1_simp := A1.Clone().Simplify(rules)
+	A1_corr := A1.Clone()
+	if !A1_simp.AmISame(A1_corr) {
+		TEST.Fatalf("FAIL Add_A1: A1_simp != A1_corr  ~  %v -> %v  ==  %v", A1, A1_simp, A1_corr)
+	} else {
+		TEST.Logf("AddVar:  %v -> %v", A1, A1_simp)
+	}
+
+	// x + x
+	A2 := NewAdd()
+	A2.Insert(NewVar(0))
+	A2.Insert(NewVar(0))
+	A2_simp := A2.Clone().Simplify(rules)
+	A2_corr := NewMul()
+	A2_corr.Insert(NewConstant(0))
+	A2_corr.Insert(NewVar(0))
+
+	if !A2_simp.AmISame(A2_corr) {
+		TEST.Fatalf("FAIL Add_A2: A2_simp != A2_corr  ~  %v -> %v  ==  %v", A2, A2_simp, A2_corr)
+	} else {
+		TEST.Logf("AddVar:  %v -> %v", A2, A2_simp)
+	}
+
+	// x + x + y
+	A3 := NewAdd()
+	A3.Insert(NewVar(0))
+	A3.Insert(NewVar(0))
+	A3.Insert(NewVar(1))
+	A3_simp := A3.Clone().Simplify(rules)
+	A3_corr := NewAdd()
+	A3m := NewMul()
+	A3m.Insert(NewConstant(0))
+	A3m.Insert(NewVar(0))
+	A3_corr.Insert(A3m)
+	A3_corr.Insert(NewVar(1))
+	if !A3_simp.AmISame(A3_corr) {
+		TEST.Fatalf("FAIL Add_A3: A3_simp != A3_corr  ~  %v -> %v  ==  %v", A3, A3_simp, A3_corr)
+	} else {
+		TEST.Logf("AddVar:  %v -> %v", A3, A3_simp)
+	}
+
+	// x + ( x + y )
+	A4 := NewAdd()
+	A4.Insert(NewVar(0))
+	A4b := NewAdd()
+	A4b.Insert(NewVar(0))
+	A4b.Insert(NewVar(1))
+	A4.Insert(A4b)
+	A4_simp := A4.Clone().Simplify(rules)
+	A4_corr := NewAdd()
+	A4m := NewMul()
+	A4m.Insert(NewConstant(0))
+	A4m.Insert(NewVar(0))
+	A4_corr.Insert(A4m)
+	A4_corr.Insert(NewVar(1))
+	if !A4_simp.AmISame(A4_corr) {
+		TEST.Fatalf("FAIL Add_A4: A4_simp != A4_corr  ~  %v -> %v  ==  %v", A4, A4_simp, A4_corr)
+	} else {
+		TEST.Logf("AddVar:  %v -> %v", A4, A4_simp)
+	}
+
+	//  F(x) +  F(x)
+	// x^2 + x^2
+	A5 := NewAdd()
+	A5.Insert(NewPowI(NewVar(0), 2))
+	A5.Insert(NewPowI(NewVar(0), 2))
+	A5_simp := A5.Clone().Simplify(rules)
+	A5_corr := NewMul()
+	A5_corr.Insert(NewConstant(0))
+	A5_corr.Insert(NewPowI(NewVar(0), 2))
+	if !A5_simp.AmISame(A5_corr) {
+		TEST.Fatalf("FAIL Add_A5: A5_simp != A5_corr  ~  %v -> %v  ==  %v", A5, A5_simp, A5_corr)
+	} else {
+		TEST.Logf("AddVar:  %v -> %v", A5, A5_simp)
+	}
+
+	// cF(x) + dF(x)
+	// cx^3.14 + dx^3.15
+	A6 := NewAdd()
+	A6m1 := NewMul()
+	A6m2 := NewMul()
+	A6m1.Insert(NewConstant(0))
+	A6m1.Insert(NewPowF(NewVar(0), 3.14))
+	A6m2.Insert(NewConstant(0))
+	A6m2.Insert(NewPowF(NewVar(0), 3.14))
+	A6.Insert(A6m1)
+	A6.Insert(A6m2)
+	A6_simp := A6.Clone().Simplify(rules)
+	A6_corr := NewMul()
+	A6_corr.Insert(NewConstant(0))
+	A6_corr.Insert(NewPowF(NewVar(0), 3.14))
+	if !A6_simp.AmISame(A6_corr) {
+		TEST.Fatalf("FAIL Add_A6: A6_simp != A6_corr  ~  %v -> %v  ==  %v", A6, A6_simp, A6_corr)
+	} else {
+		TEST.Logf("AddVar:  %v -> %v", A6, A6_simp)
+	}
+
+	// cF(x) +  F(x)
+	// cExp(x) + Exp(x)
+	A7 := NewAdd()
+	A7m1 := NewMul()
+	A7m1.Insert(NewConstant(0))
+	A7m1.Insert(NewExp(NewVar(0)))
+	A7.Insert(A7m1)
+	A7.Insert(NewExp(NewVar(0)))
+	A7_simp := A7.Clone().Simplify(rules)
+	A7_corr := NewMul()
+	A7_corr.Insert(NewConstant(0))
+	A7_corr.Insert(NewExp(NewVar(0)))
+	if !A7_simp.AmISame(A7_corr) {
+		TEST.Fatalf("FAIL Add_A7: A7_simp != A7_corr  ~  %v -> %v  ==  %v", A7, A7_simp, A7_corr)
+	} else {
+		TEST.Logf("AddVar:  %v -> %v", A7, A7_simp)
+	}
+
+	//  F(x) + cF(x)
+	//  sin(x) + csin(x)
+	A8 := NewAdd()
+	A8m2 := NewMul()
+	A8m2.Insert(NewConstant(0))
+	A8m2.Insert(NewSin(NewVar(0)))
+	A8.Insert(NewSin(NewVar(0)))
+	A8.Insert(A8m2)
+	A8_simp := A8.Clone().Simplify(rules)
+	A8_corr := NewMul()
+	A8_corr.Insert(NewConstant(0))
+	A8_corr.Insert(NewSin(NewVar(0)))
+	if !A8_simp.AmISame(A8_corr) {
+		TEST.Fatalf("FAIL Add_A8: A8_simp != A8_corr  ~  %v -> %v  ==  %v", A8, A8_simp, A8_corr)
+	} else {
+		TEST.Logf("AddVar:  %v -> %v", A8, A8_simp)
+	}
+
+	//  F(x) -  F(x)
+	// x - x
+	A9 := NewAdd()
+	A9.Insert(NewVar(0))
+	A9.Insert(NewNeg(NewVar(0)))
+	A9_simp := A9.Clone().Simplify(rules)
+	A9_corr := NewMul()
+	A9_corr.Insert(NewConstant(0))
+	A9_corr.Insert(NewVar(0))
+
+	if !A9_simp.AmISame(A9_corr) {
+		TEST.Fatalf("FAIL Add_A9: A9_simp != A9_corr  ~  %v -> %v  ==  %v", A9, A9_simp, A9_corr)
+	} else {
+		TEST.Logf("AddVar:  %v -> %v", A9, A9_simp)
+	}
+	// x + (-x+y)
+	A10 := NewAdd()
+	A10.Insert(NewVar(0))
+	A10b := NewAdd()
+	A10b.Insert(NewNeg(NewVar(0)))
+	A10b.Insert(NewVar(1))
+	A10.Insert(A10b)
+	A10_simp := A10.Clone().Simplify(rules)
+	A10_corr := NewAdd()
+	A10m := NewMul()
+	A10m.Insert(NewConstant(0))
+	A10m.Insert(NewVar(0))
+	A10_corr.Insert(A10m)
+	A10_corr.Insert(NewVar(1))
+	if !A10_simp.AmISame(A10_corr) {
+		TEST.Fatalf("FAIL Add_A10: A10_simp != A10_corr  ~  %v -> %v  ==  %v", A10, A10_simp, A10_corr)
+	} else {
+		TEST.Logf("AddVar:  %v -> %v", A10, A10_simp)
+	}
+	// x^2 - x^2
+	A11 := NewAdd()
+	A11.Insert(NewPowI(NewVar(0), 2))
+	A11.Insert(NewNeg(NewPowI(NewVar(0), 2)))
+	A11_simp := A11.Clone().Simplify(rules)
+	A11_corr := NewMul()
+	A11_corr.Insert(NewConstant(0))
+	A11_corr.Insert(NewPowI(NewVar(0), 2))
+	if !A11_simp.AmISame(A11_corr) {
+		TEST.Fatalf("FAIL Add_A11: A11_simp != A11_corr  ~  %v -> %v  ==  %v", A11, A11_simp, A11_corr)
+	} else {
+		TEST.Logf("AddVar:  %v -> %v", A11, A11_simp)
+	}
+
+	// cF(x) - dF(x)
+	// cx^3.14 - dx^3.15
+	A12 := NewAdd()
+	A12m1 := NewMul()
+	A12m2 := NewMul()
+	A12m1.Insert(NewConstant(0))
+	A12m1.Insert(NewPowF(NewVar(0), 3.14))
+	A12m2.Insert(NewConstant(0))
+	A12m2.Insert(NewPowF(NewVar(0), 3.14))
+	A12.Insert(A12m1)
+	A12.Insert(NewNeg(A12m2))
+	A12_simp := A12.Clone().Simplify(rules)
+	A12_corr := NewMul()
+	A12_corr.Insert(NewConstant(0))
+	A12_corr.Insert(NewPowF(NewVar(0), 3.14))
+	if !A12_simp.AmISame(A12_corr) {
+		TEST.Fatalf("FAIL Add_A12: A12_simp != A12_corr  ~  %v -> %v  ==  %v", A12, A12_simp, A12_corr)
+	} else {
+		TEST.Logf("AddVar:  %v -> %v", A12, A12_simp)
+	}
+
+	// cF(x) -  F(x)
+	// cExp(x) - Exp(x)
+	A13 := NewAdd()
+	A13m1 := NewMul()
+	A13m1.Insert(NewConstant(0))
+	A13m1.Insert(NewExp(NewVar(0)))
+	A13.Insert(A13m1)
+	A13.Insert(NewNeg(NewExp(NewVar(0))))
+	A13_simp := A13.Clone().Simplify(rules)
+	A13_corr := NewMul()
+	A13_corr.Insert(NewConstant(0))
+	A13_corr.Insert(NewExp(NewVar(0)))
+	if !A13_simp.AmISame(A13_corr) {
+		TEST.Fatalf("FAIL Add_A13: A13_simp != A13_corr  ~  %v -> %v  ==  %v", A13, A13_simp, A13_corr)
+	} else {
+		TEST.Logf("AddVar:  %v -> %v", A13, A13_simp)
+	}
+
+	//  F(x) - cF(x)
+	//  sin(x) - csin(x)
+	A14 := NewAdd()
+	A14m2 := NewMul()
+	A14m2.Insert(NewConstant(0))
+	A14m2.Insert(NewSin(NewVar(0)))
+	A14.Insert(NewSin(NewVar(0)))
+	A14.Insert(NewNeg(A14m2))
+	A14_simp := A14.Clone().Simplify(rules)
+	A14_corr := NewMul()
+	A14_corr.Insert(NewConstant(0))
+	A14_corr.Insert(NewSin(NewVar(0)))
+	if !A14_simp.AmISame(A14_corr) {
+		TEST.Fatalf("FAIL Add_A14: A14_simp != A14_corr  ~  %v -> %v  ==  %v", A14, A14_simp, A14_corr)
+	} else {
+		TEST.Logf("AddVar:  %v -> %v", A14, A14_simp)
+	}
+
+	// c0 + c1*x + c2*x*x*x
+	A15 := NewAdd()
+	A15.Insert(NewConstant(0))
+	A15m1 := NewMul()
+	A15m1.Insert(NewConstant(1))
+	A15m1.Insert(NewVar(0))
+	A15.Insert(A15m1)
+	A15m2 := NewMul()
+	A15m2.Insert(NewConstant(2))
+	A15m2.Insert(NewVar(0))
+	A15m2.Insert(NewVar(0))
+	A15m2.Insert(NewVar(0))
+	A15.Insert(A15m2)
+	A15_simp := A15.Clone().Simplify(rules)
+	A15_corr := NewAdd()
+	A15_corr.Insert(NewConstant(0))
+	A15_corrm1 := NewMul()
+	A15_corrm1.Insert(NewConstant(1))
+	A15_corrm1.Insert(NewVar(0))
+	A15_corr.Insert(A15_corrm1)
+	A15_corrm2 := NewMul()
+	A15_corrm2.Insert(NewConstant(2))
+	A15_corrm2.Insert(NewPowI(NewVar(0), 3))
+	A15_corr.Insert(A15_corrm2)
+	if !A15_simp.AmISame(A15_corr) {
+		TEST.Fatalf("FAIL Add_A15: A15_simp != A15_corr  ~  %v -> %v  ==  %v", A15, A15_simp, A15_corr)
+	} else {
+		TEST.Logf("AddVar:  %v -> %v", A15, A15_simp)
+	}
+
+	// X - (X+Y) ???
+
+}
+
+func Test_SimpMul(TEST *testing.T) {
+	fmt.Printf("Testing: Simplifying Mul      ")
+	var rules = DefaultRules()
+
+	mn := NewMul()
+	mn.Insert(nil)
+	mn_simp := mn.Clone().Simplify(rules)
+	if mn_simp != nil {
+		TEST.Fatalf("FAIL MulNil: mn_simp != nil  ~  %v -> %v", mn, mn_simp)
+	} else {
+		TEST.Logf("MulNil:  %v -> %v", mn, mn_simp)
+	}
+
+	ml := NewMul()
+	ml.Insert(NewNull())
+	ml_simp := ml.Clone().Simplify(rules)
+	if ml_simp != nil {
+		TEST.Fatalf("FAIL MulNull: nn_simp != Null  ~  %v -> %v", ml, ml_simp)
+	} else {
+		TEST.Logf("MulNull:  %v -> %v", ml, ml_simp)
+	}
+
+	mv := NewMul()
+	mv.Insert(NewVar(0))
+	mv_simp := mv.Clone().Simplify(rules)
+	mv_corr := NewVar(0)
+	if !mv_simp.AmISame(mv_corr) {
+		TEST.Fatalf("FAIL MulVar: mv_simp != mv_corr  ~  %v -> %v  ==  %v", mv, mv_simp, mv_corr)
+	} else {
+		TEST.Logf("MulVar:  %v -> %v", mv, mv_simp)
+	}
+
+	c := NewConstant(0)
+	mc := NewMul()
+	mc.Insert(c)
+	mc_simp := mc.Clone().Simplify(rules)
+	if !c.AmISame(mc_simp) {
+		TEST.Fatalf("FAIL MulConst: c != mc_simp  ~  %v -> %v", mc, mc_simp)
+	} else {
+		TEST.Logf("MulConst:  %v -> %v", mc, mc_simp)
+	}
+
+	cN := NewConstant(0)
+	mcN := NewMul()
+	mcN.Insert(cN)
+	mcN.Insert(NewConstant(1))
+	mcN.Insert(NewConstant(2))
+	mcN_simp := mcN.Clone().Simplify(rules)
+	if !cN.AmISame(mcN_simp) {
+		TEST.Fatalf("FAIL MulConst: c != mcN_simp  ~  %v -> %v", mcN, mcN_simp)
+	} else {
+		TEST.Logf("MulConst:  %v -> %v", mcN, mcN_simp)
+	}
+
+	mvN := NewMul()
+	mvN.Insert(NewVar(0))
+	mvN.Insert(NewVar(0))
+	mvN.Insert(NewVar(0))
+	mvN_simp := mvN.Clone().Simplify(rules)
+	mvN_corr := NewPowI(NewVar(0), 3)
+	if !mvN_simp.AmISame(mvN_corr) {
+		TEST.Fatalf("FAIL MulVar: mvN_simp != mvN_corr  ~  %v -> %v  ==  %v", mvN, mvN_simp, mvN_corr)
+	} else {
+		TEST.Logf("MulVar:  %v -> %v", mvN, mvN_simp)
+	}
+
+	mcvN := NewMul()
+	mcvN.Insert(NewConstant(0))
+	mcvN.Insert(NewConstant(1))
+	mcvN.Insert(NewConstant(2))
+	mcvN.Insert(NewVar(0))
+	mcvN.Insert(NewVar(0))
+	mcvN.Insert(NewVar(0))
+	mcvN_simp := mcvN.Clone().Simplify(rules)
+	mcvN_corr := NewMul()
+	mcvN_corr.Insert(NewConstant(0))
+	mcvN_corr.Insert(NewPowI(NewVar(0), 3))
+	if !mcvN_simp.AmISame(mcvN_corr) {
+		TEST.Fatalf("FAIL MulVar: mvN_simp != mvN_corr  ~  %v -> %v  ==  %v", mcvN, mcvN_simp, mcvN_corr)
+	} else {
+		TEST.Logf("MulVar:  %v -> %v", mcvN, mcvN_simp)
+	}
+
+	mcvNb := NewMul()
+	mcvNb.Insert(NewConstant(0))
+	mcvNb.Insert(NewConstant(1))
+	mcvNb.Insert(NewVar(0))
+	mcvNb.Insert(NewVar(0))
+	mcvNb.Insert(NewVar(0))
+	mcvNba := NewAdd()
+	mcvNba.Insert(NewVar(0))
+	mcvNbm := NewMul()
+	mcvNbm.Insert(NewConstant(-1))
+	mcvNbm.Insert(NewVar(0))
+	mcvNba.Insert(mcvNbm)
+	mcvNb.Insert(mcvNba)
+	mcvNb_simp := mcvNb.Clone().Simplify(rules)
+	mcvNb_corr := NewMul()
+	mcvNb_corr.Insert(NewConstant(0))
+	mcvNb_corr.Insert(NewPowI(NewVar(0), 4))
+	if !mcvNb_simp.AmISame(mcvNb_corr) {
+		TEST.Fatalf("FAIL MulVar: mvN_simp != mvN_corr  ~  %v -> %v  ==  %v", mcvNb, mcvNb_simp, mcvNb_corr)
+	} else {
+		TEST.Logf("MulVar:  %v -> %v", mcvNb, mcvNb_simp)
+	}
+
+	md := NewMul()
+	md.Insert(NewConstant(0))
+	mdiv := NewDiv(NewConstant(1), NewVar(0))
+	md.Insert(mdiv)
+	md_simp := md.Clone().Simplify(rules)
+	md_corr := NewDiv(NewConstant(0), NewVar(0))
+	if !md_simp.AmISame(md_corr) {
+		TEST.Fatalf("FAIL MulVar: md_simp != md_corr  ~  %v -> %v  ==  %v", md, md_simp, md_corr)
+	} else {
+		TEST.Logf("MulVar:  %v -> %v", md, md_simp)
+	}
+
+	md2 := NewMul()
+	md2.Insert(NewConstant(0))
+	md2m := NewMul()
+	md2m.Insert(NewConstant(1))
+	md2m.Insert(NewVar(0))
+	md2div := NewDiv(md2m, NewVar(0))
+	md2.Insert(md2div)
+	md2_corr := NewConstant(0)
+	md2_simp := md2div.Clone().Simplify(rules)
+	if !md2_simp.AmISame(md2_corr) {
+		TEST.Fatalf("FAIL MulVar: md2_simp != md2_corr  ~  %v -> %v  ==  %v", md2, md2_simp, md2_corr)
+	} else {
+		TEST.Logf("MulVar:  %v -> %v", md2, md2_simp)
+	}
+
+}
+
+func Test_Damd(TEST *testing.T) {
+	fmt.Printf("Testing: Damd Simps      \n")
+	var rules = DefaultRules()
+	vnames := []string{"x", "y", "z"}
+
+	f1 := parse("2*x^2* x^3", vnames)
+	fmt.Printf("f1 orig: %v\n", f1)
+	f1s := f1.Clone().Simplify(rules)
+	fmt.Printf("f1 simp: %v\n\n", f1s)
+
+	f2 := parse("2*x^-3 * x^2", vnames)
+	fmt.Printf("f2 orig: %v\n", f2)
+	f2s := f2.Clone().Simplify(rules)
+	fmt.Printf("f2 simp: %v\n\n", f2s)
+
+}
+
+func Test_ConstantF(TEST *testing.T) {
+	fmt.Printf("Testing: ConstantF Simps\n---------------------\n\n")
+	var rules = DefaultRules()
+	rules.ConvertConsts = false
+
+	vnames := []string{"x", "y", "z"}
+
+	f1 := parse("x + x", vnames)
+	fmt.Printf("f1 orig: %v\n", f1)
+	f1s := f1.Clone().Simplify(rules)
+	fmt.Printf("f1 simp: %v\n\n", f1s)
+
+	f2 := parse("2*x + x", vnames)
+	fmt.Printf("f2 orig: %v\n", f2)
+	f2s := f2.Clone().Simplify(rules)
+	fmt.Printf("f2 simp: %v\n\n", f2s)
+
+	f3 := parse("x + 2*x", vnames)
+	fmt.Printf("f3 orig: %v\n", f3)
+	f3s := f3.Clone().Simplify(rules)
+	fmt.Printf("f3 simp: %v\n\n", f3s)
+
+	f4 := parse("2*x + 3*x", vnames)
+	fmt.Printf("f4 orig: %v\n", f4)
+	f4s := f4.Clone().Simplify(rules)
+	fmt.Printf("f4 simp: %v\n\n", f4s)
+
+	f5 := parse("x - x", vnames)
+	fmt.Printf("f5 orig: %v\n", f5)
+	f5s := f5.Clone().Simplify(rules)
+	fmt.Printf("f5 simp: %v\n\n", f5s)
+
+	f6 := parse("2*x - x", vnames)
+	fmt.Printf("f6 orig: %v\n", f6)
+	f6s := f6.Clone().Simplify(rules)
+	fmt.Printf("f6 simp: %v\n\n", f6s)
+
+	f7 := parse("x - 2*x", vnames)
+	fmt.Printf("f7 orig: %v\n", f7)
+	f7s := f7.Clone().Simplify(rules)
+	fmt.Printf("f7 simp: %v\n\n", f7s)
+
+	f8 := parse("2*x - 3*x", vnames)
+	fmt.Printf("f8 orig: %v\n", f8)
+	f8s := f8.Clone().Simplify(rules)
+	fmt.Printf("f8 simp: %v\n\n", f8s)
+
+	f9 := parse("5*x - 2*x", vnames)
+	fmt.Printf("f9 orig: %v\n", f9)
+	f9s := f9.Clone().Simplify(rules)
+	fmt.Printf("f9 simp: %v\n\n", f9s)
+
+	/*
+		XX := parse("x + x", vnames)
+		fmt.Printf("XX orig: %v\n", XX)
+		XXs := XX.Clone().Simplify(rules)
+		fmt.Printf("XX simp: %v\n\n", XXs)
+	*/
+}
+
+func Test_Div(TEST *testing.T) {
+	fmt.Printf("Testing: Div Simps\n---------------------\n\n")
+	var rules = DefaultRules()
+	vnames := []string{"x", "y", "z"}
+	rules.ConvertConsts = false
+
+	/*****************************************/
+	/*****************************************/
+
+	f1 := parse("x / x", vnames)
+	f1_corr := NewConstant(-1)
+	f1_simp := f1.Clone().Simplify(rules)
+	if !f1_simp.AmISame(f1_corr) {
+		TEST.Fatalf("FAIL Div: f1_simp != f1_corr  ~  %v -> %v  ==  %v", f1, f1_simp, f1_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f1, f1_simp)
+		TEST.Logf("Div:  %v -> %v", f1, f1_simp)
+	}
+
+	f2 := parse("( 2 * x ) / x", vnames)
+	f2_corr := NewConstant(-1)
+	f2_simp := f2.Clone().Simplify(rules)
+	if !f2_simp.AmISame(f2_corr) {
+		TEST.Fatalf("FAIL Div: f2_simp != f2_corr  ~  %v -> %v  ==  %v", f2, f2_simp, f2_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f2, f2_simp)
+		TEST.Logf("Div:  %v -> %v", f2, f2_simp)
+	}
+
+	f3 := parse("x^2 / x", vnames)
+	f3_corr := parse("x", vnames)
+	f3_simp := f3.Clone().Simplify(rules)
+	if !f3_simp.AmISame(f3_corr) {
+		TEST.Fatalf("FAIL Div: f3_simp != f3_corr  ~  %v -> %v  ==  %v", f3, f3_simp, f3_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f3, f3_simp)
+		TEST.Logf("Div:  %v -> %v", f3, f3_simp)
+	}
+
+	f4 := parse("x^3 / x^2", vnames)
+	f4_corr := parse("x", vnames)
+	f4_simp := f4.Clone().Simplify(rules)
+	if !f4_simp.AmISame(f4_corr) {
+		TEST.Fatalf("FAIL Div: f4_simp != f4_corr  ~  %v -> %v  ==  %v", f4, f4_simp, f4_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f4, f4_simp)
+		TEST.Logf("Div:  %v -> %v", f4, f4_simp)
+	}
+
+	f5 := parse("x^4 / x^2", vnames)
+	f5_corr := parse("x^2", vnames)
+	f5_simp := f5.Clone().Simplify(rules)
+	if !f5_simp.AmISame(f5_corr) {
+		TEST.Fatalf("FAIL Div: f5_simp != f5_corr  ~  %v -> %v  ==  %v", f5, f5_simp, f5_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f5, f5_simp)
+		TEST.Logf("Div:  %v -> %v", f5, f5_simp)
+	}
+
+	f6 := parse("x / x^2", vnames)
+	f6_corr := NewDiv(NewConstant(-1), NewVar(0))
+	f6_simp := f6.Clone().Simplify(rules)
+	if !f6_simp.AmISame(f6_corr) {
+		TEST.Fatalf("FAIL Div: f6_simp != f6_corr  ~  %v -> %v  ==  %v", f6, f6_simp, f6_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f6, f6_simp)
+		TEST.Logf("Div:  %v -> %v", f6, f6_simp)
+	}
+
+	f7 := parse("x^2 / x^3", vnames)
+	f7_corr := NewDiv(NewConstant(-1), NewVar(0))
+	f7_simp := f7.Clone().Simplify(rules)
+	if !f7_simp.AmISame(f7_corr) {
+		TEST.Fatalf("FAIL Div: f7_simp != f7_corr  ~  %v -> %v  ==  %v", f7, f7_simp, f7_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f7, f7_simp)
+		TEST.Logf("Div:  %v -> %v", f7, f7_simp)
+	}
+
+	f8 := parse("x^2 / x^4", vnames)
+	f8_corr := NewDiv(NewConstant(-1), NewPowI(NewVar(0), 2))
+	f8_simp := f8.Clone().Simplify(rules)
+	if !f8_simp.AmISame(f8_corr) {
+		TEST.Fatalf("FAIL Div: f8_simp != f8_corr  ~  %v -> %v  ==  %v", f8, f8_simp, f8_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f8, f8_simp)
+		TEST.Logf("Div:  %v -> %v", f8, f8_simp)
+	}
+
+	/*****************************************/
+	/*****************************************/
+
+	f1_n := parse("(y * x) / x", vnames)
+	f1_n_corr := NewVar(1)
+	f1_n_simp := f1_n.Clone().Simplify(rules)
+	if !f1_n_simp.AmISame(f1_n_corr) {
+		TEST.Fatalf("FAIL Div: f1_n_simp != f1_n_corr  ~  %v -> %v  ==  %v", f1_n, f1_n_simp, f1_n_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f1_n, f1_n_simp)
+		TEST.Logf("Div:  %v -> %v", f1_n, f1_n_simp)
+	}
+
+	f2_n := parse("( 2 * x * y ) / x", vnames)
+	f2_n_corr := parse("2 * y", vnames)
+	f2_n_simp := f2_n.Clone().Simplify(rules)
+	if !f2_n_simp.AmISame(f2_n_corr) {
+		TEST.Fatalf("FAIL Div: f2_n_simp != f2_n_corr  ~  %v -> %v  ==  %v", f2_n, f2_n_simp, f2_n_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f2_n, f2_n_simp)
+		TEST.Logf("Div:  %v -> %v", f2_n, f2_n_simp)
+	}
+
+	f3_n := parse("( y * x^2 ) / x", vnames)
+	f3_n_corr := parse("y * x", vnames)
+	f3_n_simp := f3_n.Clone().Simplify(rules)
+	if !f3_n_simp.AmISame(f3_n_corr) {
+		TEST.Fatalf("FAIL Div: f3_n_simp != f3_n_corr  ~  %v -> %v  ==  %v", f3_n, f3_n_simp, f3_n_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f3_n, f3_n_simp)
+		TEST.Logf("Div:  %v -> %v", f3_n, f3_n_simp)
+	}
+
+	f4_n := parse("(y * x^3) / x^2", vnames)
+	f4_n_corr := parse("y * x", vnames)
+	f4_n_simp := f4_n.Clone().Simplify(rules)
+	if !f4_n_simp.AmISame(f4_n_corr) {
+		TEST.Fatalf("FAIL Div: f4_n_simp != f4_n_corr  ~  %v -> %v  ==  %v", f4_n, f4_n_simp, f4_n_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f4_n, f4_n_simp)
+		TEST.Logf("Div:  %v -> %v", f4_n, f4_n_simp)
+	}
+
+	f5_n := parse("(y * x^4) / x^2", vnames)
+	f5_n_corr := parse("y * x^2", vnames)
+	f5_n_simp := f5_n.Clone().Simplify(rules)
+	if !f5_n_simp.AmISame(f5_n_corr) {
+		TEST.Fatalf("FAIL Div: f5_n_simp != f5_n_corr  ~  %v -> %v  ==  %v", f5_n, f5_n_simp, f5_n_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f5_n, f5_n_simp)
+		TEST.Logf("Div:  %v -> %v", f5_n, f5_n_simp)
+	}
+
+	f6_n := parse("(y * x)/ x^2", vnames)
+	f6_n_corr := parse("y / x", vnames)
+	f6_n_simp := f6_n.Clone().Simplify(rules)
+	if !f6_n_simp.AmISame(f6_n_corr) {
+		TEST.Fatalf("FAIL Div: f6_n_simp != f6_n_corr  ~  %v -> %v  ==  %v", f6_n, f6_n_simp, f6_n_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f6_n, f6_n_simp)
+		TEST.Logf("Div:  %v -> %v", f6_n, f6_n_simp)
+	}
+
+	f7_n := parse("(y * x^2) / x^3", vnames)
+	f7_n_corr := parse("y / x", vnames)
+	f7_n_simp := f7_n.Clone().Simplify(rules)
+	if !f7_n_simp.AmISame(f7_n_corr) {
+		TEST.Fatalf("FAIL Div: f7_n_simp != f7_n_corr  ~  %v -> %v  ==  %v", f7_n, f7_n_simp, f7_n_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f7_n, f7_n_simp)
+		TEST.Logf("Div:  %v -> %v", f7_n, f7_n_simp)
+	}
+
+	f8_n := parse("(y * x^2) / x^4", vnames)
+	f8_n_corr := parse("y / x^2", vnames)
+	f8_n_simp := f8_n.Clone().Simplify(rules)
+	if !f8_n_simp.AmISame(f8_n_corr) {
+		TEST.Fatalf("FAIL Div: f8_n_simp != f8_n_corr  ~  %v -> %v  ==  %v", f8_n, f8_n_simp, f8_n_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f8_n, f8_n_simp)
+		TEST.Logf("Div:  %v -> %v", f8_n, f8_n_simp)
+	}
+
+	/*****************************************/
+	/*****************************************/
+
+	f1_d := parse("x / (x * y)", vnames)
+	f1_d_corr := NewDiv(NewConstant(-1), NewVar(1))
+	f1_d_simp := f1_d.Clone().Simplify(rules)
+	if !f1_d_simp.AmISame(f1_d_corr) {
+		TEST.Fatalf("FAIL Div: f1_d_simp != f1_d_corr  ~  %v -> %v  ==  %v", f1_d, f1_d_simp, f1_d_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f1_d, f1_d_simp)
+		TEST.Logf("Div:  %v -> %v", f1_d, f1_d_simp)
+	}
+
+	f2_d := parse("( 2 * x ) / (x * y)", vnames)
+	f2_d_corr := parse("2 / y", vnames)
+	f2_d_simp := f2_d.Clone().Simplify(rules)
+	if !f2_d_simp.AmISame(f2_d_corr) {
+		TEST.Fatalf("FAIL Div: f2_d_simp != f2_d_corr  ~  %v -> %v  ==  %v", f2_d, f2_d_simp, f2_d_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f2_d, f2_d_simp)
+		TEST.Logf("Div:  %v -> %v", f2_d, f2_d_simp)
+	}
+
+	f3_d := parse("x^2 / (x * y)", vnames)
+	f3_d_corr := parse("x / y", vnames)
+	f3_d_simp := f3_d.Clone().Simplify(rules)
+	if !f3_d_simp.AmISame(f3_d_corr) {
+		TEST.Fatalf("FAIL Div: f3_d_simp != f3_d_corr  ~  %v -> %v  ==  %v", f3_d, f3_d_simp, f3_d_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f3_d, f3_d_simp)
+		TEST.Logf("Div:  %v -> %v", f3_d, f3_d_simp)
+	}
+
+	f4_d := parse("x^3 / (x^2 * y)", vnames)
+	f4_d_corr := parse("x / y", vnames)
+	f4_d_simp := f4_d.Clone().Simplify(rules)
+	if !f4_d_simp.AmISame(f4_d_corr) {
+		TEST.Fatalf("FAIL Div: f4_d_simp != f4_d_corr  ~  %v -> %v  ==  %v", f4_d, f4_d_simp, f4_d_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f4_d, f4_d_simp)
+		TEST.Logf("Div:  %v -> %v", f4_d, f4_d_simp)
+	}
+
+	f5_d := parse("x^4 / (x^2 * y)", vnames)
+	f5_d_corr := parse("x^2 / y", vnames)
+	f5_d_simp := f5_d.Clone().Simplify(rules)
+	if !f5_d_simp.AmISame(f5_d_corr) {
+		TEST.Fatalf("FAIL Div: f5_d_simp != f5_d_corr  ~  %v -> %v  ==  %v", f5_d, f5_d_simp, f5_d_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f5_d, f5_d_simp)
+		TEST.Logf("Div:  %v -> %v", f5_d, f5_d_simp)
+	}
+
+	f6_d := parse("x / (x^2 * y)", vnames)
+	f6_d_denom := parse("x * y", vnames)
+	f6_d_corr := NewDiv(NewConstant(-1), f6_d_denom)
+	f6_d_simp := f6_d.Clone().Simplify(rules)
+	if !f6_d_simp.AmISame(f6_d_corr) {
+		TEST.Fatalf("FAIL Div: f6_d_simp != f6_d_corr  ~  %v -> %v  ==  %v", f6_d, f6_d_simp, f6_d_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f6_d, f6_d_simp)
+		TEST.Logf("Div:  %v -> %v", f6_d, f6_d_simp)
+	}
+
+	f7_d := parse("x^2 / (x^3 * y)", vnames)
+	f7_d_denom := parse("x * y", vnames)
+	f7_d_corr := NewDiv(NewConstant(-1), f7_d_denom)
+	f7_d_simp := f7_d.Clone().Simplify(rules)
+	if !f7_d_simp.AmISame(f7_d_corr) {
+		TEST.Fatalf("FAIL Div: f7_d_simp != f7_d_corr  ~  %v -> %v  ==  %v", f7_d, f7_d_simp, f7_d_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f7_d, f7_d_simp)
+		TEST.Logf("Div:  %v -> %v", f7_d, f7_d_simp)
+	}
+
+	f8_d := parse("x^2 / (x^4 * y)", vnames)
+	f8_d_denom := parse("x^2 * y", vnames)
+	f8_d_corr := NewDiv(NewConstant(-1), f8_d_denom)
+	f8_d_simp := f8_d.Clone().Simplify(rules)
+	if !f8_d_simp.AmISame(f8_d_corr) {
+		TEST.Fatalf("FAIL Div: f8_d_simp != f8_d_corr  ~  %v -> %v  ==  %v", f8_d, f8_d_simp, f8_d_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f8_d, f8_d_simp)
+		TEST.Logf("Div:  %v -> %v", f8_d, f8_d_simp)
+	}
+
+	/*****************************************/
+	/*****************************************/
+
+	f1_b := parse("(x * y) / (x * y)", vnames)
+	f1_b_corr := NewConstant(-1)
+	f1_b_simp := f1_b.Clone().Simplify(rules)
+	if !f1_b_simp.AmISame(f1_b_corr) {
+		TEST.Fatalf("FAIL Div: f1_b_simp != f1_b_corr  ~  %v -> %v  ==  %v", f1_b, f1_b_simp, f1_b_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f1_b, f1_b_simp)
+		TEST.Logf("Div:  %v -> %v", f1_b, f1_b_simp)
+	}
+
+	f2_b := parse("( 2 * x * y ) / (x * y)", vnames)
+	f2_b_corr := parse("2", vnames)
+	f2_b_simp := f2_b.Clone().Simplify(rules)
+	if !f2_b_simp.AmISame(f2_b_corr) {
+		TEST.Fatalf("FAIL Div: f2_b_simp != f2_b_corr  ~  %v -> %v  ==  %v", f2_b, f2_b_simp, f2_b_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f2_b, f2_b_simp)
+		TEST.Logf("Div:  %v -> %v", f2_b, f2_b_simp)
+	}
+
+	f3_b := parse("(x^2 * y) / (x * y)", vnames)
+	f3_b_corr := parse("x", vnames)
+	f3_b_simp := f3_b.Clone().Simplify(rules)
+	if !f3_b_simp.AmISame(f3_b_corr) {
+		TEST.Fatalf("FAIL Div: f3_b_simp != f3_b_corr  ~  %v -> %v  ==  %v", f3_b, f3_b_simp, f3_b_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f3_b, f3_b_simp)
+		TEST.Logf("Div:  %v -> %v", f3_b, f3_b_simp)
+	}
+
+	f4_b := parse("(x^3 * y) / (x^2 * y)", vnames)
+	f4_b_corr := parse("x", vnames)
+	f4_b_simp := f4_b.Clone().Simplify(rules)
+	if !f4_b_simp.AmISame(f4_b_corr) {
+		TEST.Fatalf("FAIL Div: f4_b_simp != f4_b_corr  ~  %v -> %v  ==  %v", f4_b, f4_b_simp, f4_b_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f4_b, f4_b_simp)
+		TEST.Logf("Div:  %v -> %v", f4_b, f4_b_simp)
+	}
+
+	f5_b := parse("(x^4 * y) / (x^2 * y)", vnames)
+	f5_b_corr := parse("x^2", vnames)
+	f5_b_simp := f5_b.Clone().Simplify(rules)
+	if !f5_b_simp.AmISame(f5_b_corr) {
+		TEST.Fatalf("FAIL Div: f5_b_simp != f5_b_corr  ~  %v -> %v  ==  %v", f5_b, f5_b_simp, f5_b_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f5_b, f5_b_simp)
+		TEST.Logf("Div:  %v -> %v", f5_b, f5_b_simp)
+	}
+
+	f6_b := parse("(x * y) / (x^2 * y)", vnames)
+	f6_b_corr := NewDiv(NewConstant(-1), NewVar(0))
+	f6_b_simp := f6_b.Clone().Simplify(rules)
+	if !f6_b_simp.AmISame(f6_b_corr) {
+		TEST.Fatalf("FAIL Div: f6_b_simp != f6_b_corr  ~  %v -> %v  ==  %v", f6_b, f6_b_simp, f6_b_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f6_b, f6_b_simp)
+		TEST.Logf("Div:  %v -> %v", f6_b, f6_b_simp)
+	}
+
+	f7_b := parse("(x^2 * y) / (x^3 * y)", vnames)
+	f7_b_corr := NewDiv(NewConstant(-1), NewVar(0))
+	f7_b_simp := f7_b.Clone().Simplify(rules)
+	if !f7_b_simp.AmISame(f7_b_corr) {
+		TEST.Fatalf("FAIL Div: f7_b_simp != f7_b_corr  ~  %v -> %v  ==  %v", f7_b, f7_b_simp, f7_b_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f7_b, f7_b_simp)
+		TEST.Logf("Div:  %v -> %v", f7_b, f7_b_simp)
+	}
+
+	f8_b := parse("(x^2 * y) / (x^4 * y)", vnames)
+	f8_b_corr := NewDiv(NewConstant(-1), NewPowI(NewVar(0), 2))
+	f8_b_simp := f8_b.Clone().Simplify(rules)
+	if !f8_b_simp.AmISame(f8_b_corr) {
+		TEST.Fatalf("FAIL Div: f8_b_simp != f8_b_corr  ~  %v -> %v  ==  %v", f8_b, f8_b_simp, f8_b_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f8_b, f8_b_simp)
+		TEST.Logf("Div:  %v -> %v", f8_b, f8_b_simp)
+	}
+
+	/*****************************************/
+	/*****************************************/
+
+	f1_B := parse("(x * y) / (x * z)", vnames)
+	f1_B_corr := parse("y / z", vnames)
+	f1_B_simp := f1_B.Clone().Simplify(rules)
+	if !f1_B_simp.AmISame(f1_B_corr) {
+		TEST.Fatalf("FAIL Div: f1_B_simp != f1_B_corr  ~  %v -> %v  ==  %v", f1_B, f1_B_simp, f1_B_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f1_B, f1_B_simp)
+		TEST.Logf("Div:  %v -> %v", f1_B, f1_B_simp)
+	}
+
+	f2_B := parse("( 2 * x * y) / (x * z)", vnames)
+	f2_B_corr := parse("(2 * y) / z", vnames)
+	f2_B_simp := f2_B.Clone().Simplify(rules)
+	if !f2_B_simp.AmISame(f2_B_corr) {
+		TEST.Fatalf("FAIL Div: f2_B_simp != f2_B_corr  ~  %v -> %v  ==  %v", f2_B, f2_B_simp, f2_B_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f2_B, f2_B_simp)
+		TEST.Logf("Div:  %v -> %v", f2_B, f2_B_simp)
+	}
+
+	f3_B := parse("(x^2 * y) / (x * z)", vnames)
+	f3_B_corr := parse("(x * y) / z", vnames)
+	f3_B_simp := f3_B.Clone().Simplify(rules)
+	if !f3_B_simp.AmISame(f3_B_corr) {
+		TEST.Fatalf("FAIL Div: f3_B_simp != f3_B_corr  ~  %v -> %v  ==  %v", f3_B, f3_B_simp, f3_B_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f3_B, f3_B_simp)
+		TEST.Logf("Div:  %v -> %v", f3_B, f3_B_simp)
+	}
+
+	f4_B := parse("(x^3 * y) / (x^2 * z)", vnames)
+	f4_B_corr := parse("(x * y) / z", vnames)
+	f4_B_simp := f4_B.Clone().Simplify(rules)
+	if !f4_B_simp.AmISame(f4_B_corr) {
+		TEST.Fatalf("FAIL Div: f4_B_simp != f4_B_corr  ~  %v -> %v  ==  %v", f4_B, f4_B_simp, f4_B_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f4_B, f4_B_simp)
+		TEST.Logf("Div:  %v -> %v", f4_B, f4_B_simp)
+	}
+
+	f5_B := parse("(x^4 * y) / (x^2 * z)", vnames)
+	f5_B_corr := parse("(x^2 * y) / z", vnames)
+	f5_B_simp := f5_B.Clone().Simplify(rules)
+	if !f5_B_simp.AmISame(f5_B_corr) {
+		TEST.Fatalf("FAIL Div: f5_B_simp != f5_B_corr  ~  %v -> %v  ==  %v", f5_B, f5_B_simp, f5_B_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f5_B, f5_B_simp)
+		TEST.Logf("Div:  %v -> %v", f5_B, f5_B_simp)
+	}
+
+	f6_B := parse("(x * y) / (x^2 * z)", vnames)
+	f6_B_corr := parse("y / (x * z)", vnames)
+	f6_B_simp := f6_B.Clone().Simplify(rules)
+	if !f6_B_simp.AmISame(f6_B_corr) {
+		TEST.Fatalf("FAIL Div: f6_B_simp != f6_B_corr  ~  %v -> %v  ==  %v", f6_B, f6_B_simp, f6_B_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f6_B, f6_B_simp)
+		TEST.Logf("Div:  %v -> %v", f6_B, f6_B_simp)
+	}
+
+	f7_B := parse("(x^2 * y) / (x^3 * z)", vnames)
+	f7_B_corr := parse("y / (x * z)", vnames)
+	f7_B_simp := f7_B.Clone().Simplify(rules)
+	if !f7_B_simp.AmISame(f7_B_corr) {
+		TEST.Fatalf("FAIL Div: f7_B_simp != f7_B_corr  ~  %v -> %v  ==  %v", f7_B, f7_B_simp, f7_B_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f7_B, f7_B_simp)
+		TEST.Logf("Div:  %v -> %v", f7_B, f7_B_simp)
+	}
+
+	f8_B := parse("(x^2 * y) / (x^4 * z)", vnames)
+	f8_B_corr := parse("y / (x^2 * z)", vnames)
+	f8_B_simp := f8_B.Clone().Simplify(rules)
+	if !f8_B_simp.AmISame(f8_B_corr) {
+		TEST.Fatalf("FAIL Div: f8_B_simp != f8_B_corr  ~  %v -> %v  ==  %v", f8_B, f8_B_simp, f8_B_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f8_B, f8_B_simp)
+		TEST.Logf("Div:  %v -> %v", f8_B, f8_B_simp)
+	}
+
+	f1_R := parse("( {-1.004803*(x)^2}/{x} + {0.010163*(x)^12}/{x} + 0.995197*x )", vnames)
+	f1_R_corr := parse("2 + (3 * x^4)", vnames)
+	f1_R_simp := f1_R.Clone().Simplify(rules)
+	if !f1_R_simp.AmISame(f1_R_corr) {
+		TEST.Fatalf("FAIL Div: f1_R_simp != f1_R_corr  ~  %v -> %v  ==  %v", f1_R, f1_R_simp, f1_R_corr)
+	} else {
+		fmt.Printf("Div:  %v -> %v", f1_R, f1_R_simp)
+		TEST.Logf("Div:  %v -> %v", f1_R, f1_R_simp)
+	}
+
+	fmt.Println()
+}
+
+// serial := make([]int, 0, 64)
+// serial = e.Serial(serial)
+// fmt.Printf("\nserial: %v\n", serial)
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/stats.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/stats.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/stats.go	(revision 16620)
@@ -0,0 +1,194 @@
+package symexpr
+
+type ExprParams struct {
+
+	// bounds on tree
+	MaxS, MaxD,
+	MinS, MinD int
+
+	// bounds on some operators
+	NumDim, NumSys, NumCoeff int
+
+	// usable terms at each location
+	Roots, Nodes, Leafs, NonTrig []Expr
+}
+
+type ExprStats struct {
+	depth   int // layers from top (root == 1)
+	height  int // layers of subtree (leaf == 1)
+	size    int
+	pos     int
+	numchld int
+}
+
+func (es *ExprStats) Depth() int       { return es.depth }
+func (es *ExprStats) Height() int      { return es.height }
+func (es *ExprStats) Size() int        { return es.size }
+func (es *ExprStats) Pos() int         { return es.pos }
+func (es *ExprStats) NumChildren() int { return es.numchld }
+
+func (t *Leaf) CalcExprStats() {
+	t.depth = 1
+	t.height = 1
+	t.size = 1
+	t.pos = 0
+	t.numchld = 0
+}
+func (t *Leaf) calcExprStatsR(depth int, pos *int) {
+	t.depth = depth + 1
+	t.height = 1
+	t.size = 1
+	t.pos = *pos
+	(*pos)++
+	t.numchld = 0
+}
+
+func (u *Unary) CalcExprStats() {
+	pos := 1
+	u.depth = 1
+	u.C.calcExprStatsR(1, &pos)
+	u.height = 1 + u.C.Height()
+	u.size = 1 + u.C.Size()
+	u.pos = 0
+	u.numchld = 1
+}
+func (u *Unary) calcExprStatsR(depth int, pos *int) {
+	u.pos = *pos
+	(*pos)++
+	u.depth = depth + 1
+	u.C.calcExprStatsR(depth+1, pos)
+	u.height = 1 + u.C.Height()
+	u.size = 1 + u.C.Size()
+	u.numchld = 1
+}
+
+func (n *N_ary) CalcExprStats() {
+	c_high := 0
+	pos := 1
+	n.depth = 1
+	n.size = 1
+	n.pos = 0
+	n.numchld = len(n.CS)
+	for _, C := range n.CS {
+		if C == nil {
+			continue
+		} else {
+			n.numchld++
+		}
+		C.calcExprStatsR(1, &pos)
+		n.size += C.Size()
+		if c_high < C.Height() {
+			c_high = C.Height()
+		}
+	}
+	n.height = 1 + c_high
+}
+
+func (n *N_ary) calcExprStatsR(depth int, pos *int) {
+	c_high := 0
+	n.depth = depth + 1
+	n.size = 1
+	n.pos = *pos
+	(*pos)++
+	n.numchld = len(n.CS)
+	for _, C := range n.CS {
+		if C == nil {
+			continue
+		} else {
+			n.numchld++
+		}
+		C.calcExprStatsR(depth+1, pos)
+		n.size += C.Size()
+		if c_high < C.Height() {
+			c_high = C.Height()
+		}
+	}
+	n.height = 1 + c_high
+}
+
+func (u *PowI) CalcExprStats() {
+	pos := 1
+	u.Base.calcExprStatsR(1, &pos)
+	u.depth = 1
+	u.height = 1 + u.Base.Height()
+	u.size = 1 + u.Base.Size()
+	u.pos = 0
+	u.numchld = 1
+}
+
+func (u *PowI) calcExprStatsR(depth int, pos *int) {
+	u.pos = *pos
+	(*pos)++
+	u.Base.calcExprStatsR(depth+1, pos)
+	u.depth = depth + 1
+	u.height = 1 + u.Base.Height()
+	u.size = 1 + u.Base.Size()
+	u.numchld = 1
+}
+
+func (u *PowF) CalcExprStats() {
+	pos := 1
+	u.Base.calcExprStatsR(1, &pos)
+	u.depth = 1
+	u.height = 1 + u.Base.Height()
+	u.size = 1 + u.Base.Size()
+	u.pos = 0
+	u.numchld = 1
+}
+
+func (u *PowF) calcExprStatsR(depth int, pos *int) {
+	u.pos = *pos
+	(*pos)++
+	u.Base.calcExprStatsR(depth+1, pos)
+	u.depth = depth + 1
+	u.height = 1 + u.Base.Height()
+	u.size = 1 + u.Base.Size()
+	u.numchld = 1
+}
+
+func max(l, r int) int {
+	if l > r {
+		return l
+	}
+	return r
+}
+
+func (n *PowE) CalcExprStats() {
+	pos := 1
+	n.Base.calcExprStatsR(1, &pos)
+	n.Power.calcExprStatsR(1, &pos)
+	n.depth = 1
+	n.height = 1 + max(n.Base.Height(), n.Power.Height())
+	n.size = 1 + n.Base.Size() + n.Power.Size()
+	n.numchld = 2
+}
+func (n *PowE) calcExprStatsR(depth int, pos *int) {
+	n.pos = *pos
+	(*pos)++
+	n.Base.calcExprStatsR(depth+1, pos)
+	n.Power.calcExprStatsR(depth+1, pos)
+	n.depth = depth + 1
+	n.height = 1 + max(n.Base.Height(), n.Power.Height())
+	n.size = 1 + n.Base.Size() + n.Power.Size()
+	n.numchld = 2
+}
+
+func (n *Div) CalcExprStats() {
+	pos := 1
+	n.Numer.calcExprStatsR(1, &pos)
+	n.Denom.calcExprStatsR(1, &pos)
+	n.depth = 1
+	n.height = 1 + max(n.Numer.Height(), n.Denom.Height())
+	n.size = 1 + n.Numer.Size() + n.Denom.Size()
+	n.numchld = 2
+}
+func (n *Div) calcExprStatsR(depth int, pos *int) {
+	n.pos = *pos
+	(*pos)++
+	n.Numer.calcExprStatsR(depth+1, pos)
+	n.Denom.calcExprStatsR(depth+1, pos)
+	n.depth = depth + 1
+	n.height = 1 + max(n.Numer.Height(), n.Denom.Height())
+	n.size = 1 + n.Numer.Size() + n.Denom.Size()
+	n.numchld = 2
+}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/types.go
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/types.go	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/src/go-symexpr/types.go	(revision 16620)
@@ -0,0 +1,407 @@
+package symexpr
+
+import "sort"
+
+type Leaf struct {
+	ExprStats
+}
+
+type Unary struct {
+	ExprStats
+	C Expr
+}
+
+type Binary struct {
+	ExprStats
+	C1, C2 Expr
+}
+
+type N_ary struct {
+	ExprStats
+	CS []Expr
+}
+
+// Leaf Nodes
+type Time struct {
+	Leaf
+}
+
+func NewTime() *Time               { return new(Time) }
+func (t *Time) ExprType() ExprType { return TIME }
+func (t *Time) Clone() Expr        { return NewTime() }
+
+type Var struct {
+	Leaf
+	P int
+}
+
+func NewVar(i int) *Var {
+	v := new(Var)
+	v.P = i
+	return v
+}
+func (v *Var) ExprType() ExprType { return VAR }
+func (v *Var) Clone() Expr        { return NewVar(v.P) }
+
+type Constant struct {
+	Leaf
+	P int
+}
+
+func NewConstant(i int) *Constant {
+	c := new(Constant)
+	c.P = i
+	return c
+}
+func (c *Constant) ExprType() ExprType { return CONSTANT }
+func (c *Constant) Clone() Expr        { return NewConstant(c.P) }
+
+type ConstantF struct {
+	Leaf
+	F float64
+}
+
+func NewConstantF(f float64) *ConstantF {
+	c := new(ConstantF)
+	c.F = f
+	return c
+}
+func (c *ConstantF) ExprType() ExprType { return CONSTANTF }
+func (c *ConstantF) Clone() Expr        { return NewConstantF(c.F) }
+
+type System struct {
+	Leaf
+	P int
+}
+
+func NewSystem(i int) *System {
+	s := new(System)
+	s.P = i
+	return s
+}
+func (s *System) ExprType() ExprType { return SYSTEM }
+func (s *System) Clone() Expr        { return NewSystem(s.P) }
+
+// Unary Operators
+type Neg struct {
+	Unary
+}
+
+func NewNeg(e Expr) *Neg {
+	n := new(Neg)
+	n.C = e
+	return n
+}
+func (u *Neg) ExprType() ExprType { return NEG }
+func (u *Neg) Clone() Expr {
+	var C Expr
+	if u.C != nil {
+		C = u.C.Clone()
+	}
+	return NewNeg(C)
+}
+
+type Abs struct {
+	Unary
+}
+
+func NewAbs(e Expr) *Abs {
+	n := new(Abs)
+	n.C = e
+	return n
+}
+func (u *Abs) ExprType() ExprType { return ABS }
+func (u *Abs) Clone() Expr {
+	var C Expr
+	if u.C != nil {
+		C = u.C.Clone()
+	}
+	return NewAbs(C)
+}
+
+type Sqrt struct {
+	Unary
+}
+
+func NewSqrt(e Expr) *Sqrt {
+	n := new(Sqrt)
+	n.C = e
+	return n
+}
+func (u *Sqrt) ExprType() ExprType { return SQRT }
+func (u *Sqrt) Clone() Expr {
+	var C Expr
+	if u.C != nil {
+		C = u.C.Clone()
+	}
+	return NewSqrt(C)
+}
+
+type Sin struct {
+	Unary
+}
+
+func NewSin(e Expr) *Sin {
+	n := new(Sin)
+	n.C = e
+	return n
+}
+func (u *Sin) ExprType() ExprType { return SIN }
+func (u *Sin) Clone() Expr {
+	var C Expr
+	if u.C != nil {
+		C = u.C.Clone()
+	}
+	return NewSin(C)
+}
+
+type Cos struct {
+	Unary
+}
+
+func NewCos(e Expr) *Cos {
+	n := new(Cos)
+	n.C = e
+	return n
+}
+func (u *Cos) ExprType() ExprType { return COS }
+func (u *Cos) Clone() Expr {
+	var C Expr
+	if u.C != nil {
+		C = u.C.Clone()
+	}
+	return NewCos(C)
+}
+
+type Tan struct {
+	Unary
+}
+
+func NewTan(e Expr) *Tan {
+	n := new(Tan)
+	n.C = e
+	return n
+}
+func (u *Tan) ExprType() ExprType { return TAN }
+func (u *Tan) Clone() Expr {
+	var C Expr
+	if u.C != nil {
+		C = u.C.Clone()
+	}
+	return NewTan(C)
+}
+
+type Exp struct {
+	Unary
+}
+
+func NewExp(e Expr) *Exp {
+	n := new(Exp)
+	n.C = e
+	return n
+}
+func (u *Exp) ExprType() ExprType { return EXP }
+func (u *Exp) Clone() Expr {
+	var C Expr
+	if u.C != nil {
+		C = u.C.Clone()
+	}
+	return NewExp(C)
+}
+
+type Log struct {
+	Unary
+}
+
+func NewLog(e Expr) *Log {
+	n := new(Log)
+	n.C = e
+	return n
+}
+func (u *Log) ExprType() ExprType { return LOG }
+func (u *Log) Clone() Expr {
+	var C Expr
+	if u.C != nil {
+		C = u.C.Clone()
+	}
+	return NewLog(C)
+}
+
+// Hmmm... Operators
+type PowI struct {
+	ExprStats
+	Base  Expr
+	Power int
+}
+
+func NewPowI(e Expr, i int) *PowI {
+	n := new(PowI)
+	if e != nil {
+		n.Base = e.Clone()
+	}
+	n.Power = i
+	return n
+}
+func (u *PowI) ExprType() ExprType { return POWI }
+func (u *PowI) Clone() Expr        { return NewPowI(u.Base, u.Power) }
+
+type PowF struct {
+	ExprStats
+	Base  Expr
+	Power float64
+}
+
+func NewPowF(b Expr, f float64) *PowF {
+	n := new(PowF)
+	n.Base = b
+	n.Power = f
+	return n
+}
+func (u *PowF) ExprType() ExprType { return POWF }
+func (u *PowF) Clone() Expr {
+	var base Expr
+	if u.Base != nil {
+		base = u.Base.Clone()
+	}
+	return NewPowF(base, u.Power)
+}
+
+type PowE struct {
+	ExprStats
+	Base  Expr
+	Power Expr
+}
+
+func NewPowE(b, p Expr) *PowE {
+	n := new(PowE)
+	n.Base = b
+	n.Power = p
+	return n
+}
+func (n *PowE) ExprType() ExprType { return POWE }
+func (n *PowE) Clone() Expr {
+	var base, pow Expr
+	if n.Base != nil {
+		base = n.Base.Clone()
+	}
+	if n.Power != nil {
+		pow = n.Power.Clone()
+	}
+	return NewPowE(base, pow)
+}
+
+type Div struct {
+	ExprStats
+	Numer Expr
+	Denom Expr
+}
+
+func NewDiv(n, d Expr) *Div {
+	D := new(Div)
+	D.Numer = n
+	D.Denom = d
+	return D
+}
+func (n *Div) ExprType() ExprType { return DIV }
+func (n *Div) Clone() Expr {
+	var N, D Expr
+	if n.Numer != nil {
+		N = n.Numer.Clone()
+	}
+	if n.Denom != nil {
+		D = n.Denom.Clone()
+	}
+	return NewDiv(N, D)
+}
+
+// N-ary Operators
+type Add struct {
+	N_ary
+}
+
+func NewAdd() *Add {
+	a := new(Add)
+	a.CS = make([]Expr, 0)
+	return a
+}
+func (n *Add) ExprType() ExprType { return ADD }
+
+func (n *Add) Clone() Expr {
+	a := new(Add)
+	a.CS = make([]Expr, len(n.CS))
+	for i, C := range n.CS {
+		if C != nil {
+			a.CS[i] = C.Clone()
+		}
+	}
+	return a
+}
+func (a *Add) Insert(e Expr) {
+	if len(a.CS) == cap(a.CS) {
+		tmp := make([]Expr, len(a.CS), 2*len(a.CS))
+		copy(tmp[:len(a.CS)], a.CS)
+		a.CS = tmp
+	}
+	a.CS = append(a.CS, e)
+	sort.Sort(a)
+}
+
+type Mul struct {
+	N_ary
+}
+
+func NewMul() *Mul {
+	m := new(Mul)
+	m.CS = make([]Expr, 0)
+	return m
+}
+func (n *Mul) ExprType() ExprType { return MUL }
+func (n *Mul) Clone() Expr {
+	a := NewMul()
+	a.CS = make([]Expr, len(n.CS))
+	for i, C := range n.CS {
+		if C != nil {
+			a.CS[i] = C.Clone()
+		}
+	}
+	return a
+}
+func (a *Mul) Insert(e Expr) {
+	if len(a.CS) == cap(a.CS) {
+		tmp := make([]Expr, len(a.CS), 2*len(a.CS))
+		copy(tmp[:len(a.CS)], a.CS)
+		a.CS = tmp
+	}
+	a.CS = append(a.CS, e)
+	sort.Sort(a)
+}
+
+func (n *Add) Len() int      { return len(n.CS) }
+func (n *Add) Swap(i, j int) { n.CS[i], n.CS[j] = n.CS[j], n.CS[i] }
+func (n *Add) Less(i, j int) bool {
+	if n.CS[i] == nil && n.CS[j] == nil {
+		return false
+	}
+	if n.CS[i] == nil {
+		return false
+	}
+	if n.CS[j] == nil {
+		return true
+	}
+	return n.CS[i].AmILess(n.CS[j])
+}
+
+func (n *Mul) Len() int      { return len(n.CS) }
+func (n *Mul) Swap(i, j int) { n.CS[i], n.CS[j] = n.CS[j], n.CS[i] }
+func (n *Mul) Less(i, j int) bool {
+	if n.CS[i] == nil && n.CS[j] == nil {
+		return false
+	}
+	if n.CS[i] == nil {
+		return false
+	}
+	if n.CS[j] == nil {
+		return true
+	}
+	return n.CS[i].AmILess(n.CS[j])
+}
Index: anches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/testinit.c
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/testinit.c	(revision 16619)
+++ 	(revision )
@@ -1,333 +1,0 @@
-#include "pge.h"
-#include <stdlib.h>
-#include <stdio.h>
-#include <string.h>
-
-void readTainData(char *path) {
-	
-}
-
-int main() {
-	
-	putenv("GOGC=off");
-	putenv("GODEBUG=cgocheck=0");
-	putenv("CGO_ENABLED=1");
-	
-		
-	/****** TrainData ******/
-		
-	GoInt indepLen = 1; //2 exists too		//culms
-	GoInt depLen = 2;							//culms
-	GoInt nEntries = 25;						//lines
-	int nCulm = indepLen + depLen;
-			
-	GoFloat64 *trainMatrix = (GoFloat64 *)malloc(nEntries * (indepLen + depLen) * sizeof(GoFloat64));
-	
-	printf("AddTrainData\n");
-	
-	/****** TestData ******/
-	
-	GoInt TindepLen = indepLen; //2 exists too		//culms
-	GoInt TdepLen = depLen;							//culms
-	GoInt TnEntries = 25;						//lines
-	nCulm = TindepLen + TdepLen;
-	
-	GoFloat64 *testMatrix = (GoFloat64 *)malloc(TnEntries * (TindepLen + TdepLen) * sizeof(GoFloat64)); 
-	
-	printf("AddTestData\n");
-	//AddTrainData(TindepNames, TdepndNames, TtrainMatrix, TnEntries);
-	
-trainMatrix[0 * nCulm + 0] = (GoFloat64) -5.000000;
-trainMatrix[0 * nCulm + 1] = (GoFloat64) -5.000000;
-trainMatrix[0 * nCulm + 2] = (GoFloat64) 1.996805 ;
-trainMatrix[1 * nCulm + 0] = (GoFloat64) -4.600000 ;
-trainMatrix[1 * nCulm + 1] = (GoFloat64) -5.000000; 
-trainMatrix[1 * nCulm + 2] = (GoFloat64)1.996174 ;
-trainMatrix[2 * nCulm + 0] = (GoFloat64)-4.200000 ;
-trainMatrix[2 * nCulm + 1] = (GoFloat64)-5.000000 ;
-trainMatrix[2 * nCulm + 2] = (GoFloat64)1.995199 ;
-trainMatrix[3 * nCulm + 0] = (GoFloat64)-3.800000 ;
-trainMatrix[3 * nCulm + 1] = (GoFloat64)-5.000000 ;
-trainMatrix[3 * nCulm + 2] = (GoFloat64)1.993630 ;
-trainMatrix[4 * nCulm + 0] = (GoFloat64)-3.400000 ;
-trainMatrix[4 * nCulm + 1] = (GoFloat64)-5.000000 ;
-trainMatrix[4 * nCulm + 2] = (GoFloat64)1.990975 ;
-trainMatrix[5 * nCulm + 0] = (GoFloat64)-3.000000 ;
-trainMatrix[5 * nCulm + 1] = (GoFloat64)-5.000000 ;
-trainMatrix[5 * nCulm + 2] = (GoFloat64)1.986207 ;
-trainMatrix[6 * nCulm + 0] = (GoFloat64)-2.600000 ;
-trainMatrix[6 * nCulm + 1] = (GoFloat64)-5.000000 ;
-trainMatrix[6 * nCulm + 2] = (GoFloat64)1.976988 ;
-trainMatrix[7 * nCulm + 0] = (GoFloat64)-2.200000 ;
-trainMatrix[7 * nCulm + 1] = (GoFloat64)-5.000000 ;
-trainMatrix[7 * nCulm + 2] = (GoFloat64)1.957462 ;
-trainMatrix[8 * nCulm + 0] = (GoFloat64)-1.800000 ;
-trainMatrix[8 * nCulm + 1] = (GoFloat64)-5.000000 ;
-trainMatrix[8 * nCulm + 2] = (GoFloat64)1.911428 ;
-trainMatrix[9 * nCulm + 0] = (GoFloat64)-1.400000 ;
-trainMatrix[9 * nCulm + 1] = (GoFloat64)-5.000000 ;
-trainMatrix[9 * nCulm + 2] = (GoFloat64)1.791859 ;
-trainMatrix[10 * nCulm + 0] = (GoFloat64)-1.000000 ;
-trainMatrix[10 * nCulm + 1] = (GoFloat64)-5.000000 ;
-trainMatrix[10 * nCulm + 2] = (GoFloat64)1.498403 ;
-trainMatrix[11 * nCulm + 0] = (GoFloat64)-0.600000 ;
-trainMatrix[11 * nCulm + 1] = (GoFloat64)-5.000000 ;
-trainMatrix[11 * nCulm + 2] = (GoFloat64)1.113133 ;
-trainMatrix[12 * nCulm + 0] = (GoFloat64)-0.200000 ;
-trainMatrix[12 * nCulm + 1] = (GoFloat64)-5.000000 ;
-trainMatrix[12 * nCulm + 2] = (GoFloat64)1.000000 ;
-trainMatrix[13 * nCulm + 0] = (GoFloat64)0.200000 ;
-trainMatrix[13 * nCulm + 1] = (GoFloat64)-5.000000 ;
-trainMatrix[13 * nCulm + 2] = (GoFloat64)1.000000 ;
-trainMatrix[14 * nCulm + 0] = (GoFloat64)0.600000 ;
-trainMatrix[14 * nCulm + 1] = (GoFloat64)-5.000000 ;
-trainMatrix[14 * nCulm + 2] = (GoFloat64)1.113133 ;
-trainMatrix[15 * nCulm + 0] = (GoFloat64)1.000000 ;
-trainMatrix[15 * nCulm + 1] = (GoFloat64)-5.000000 ;
-trainMatrix[15 * nCulm + 2] = (GoFloat64)1.498403 ;
-trainMatrix[16 * nCulm + 0] = (GoFloat64)1.400000 ;
-trainMatrix[16 * nCulm + 1] = (GoFloat64)-5.000000 ;
-trainMatrix[16 * nCulm + 2] = (GoFloat64)1.791859 ;
-trainMatrix[17 * nCulm + 0] = (GoFloat64)1.800000 ;
-trainMatrix[17 * nCulm + 1] = (GoFloat64)-5.000000 ;
-trainMatrix[17 * nCulm + 2] = (GoFloat64)1.911428 ;
-trainMatrix[18 * nCulm + 0] = (GoFloat64)2.200000 ;
-trainMatrix[18 * nCulm + 1] = (GoFloat64)-5.000000 ;
-trainMatrix[18 * nCulm + 2] = (GoFloat64)1.957462 ;
-trainMatrix[19 * nCulm + 0] = (GoFloat64)2.600000 ;
-trainMatrix[19 * nCulm + 1] = (GoFloat64)-5.000000 ;
-trainMatrix[19 * nCulm + 2] = (GoFloat64)1.976988 ;
-trainMatrix[20 * nCulm + 0] = (GoFloat64)3.000000 ;
-trainMatrix[20 * nCulm + 1] = (GoFloat64)-5.000000 ;
-trainMatrix[20 * nCulm + 2] = (GoFloat64)1.986207 ;
-trainMatrix[21 * nCulm + 0] = (GoFloat64)3.400000 ;
-trainMatrix[21 * nCulm + 1] = (GoFloat64)-5.000000 ;
-trainMatrix[21 * nCulm + 2] = (GoFloat64)1.990975 ;
-trainMatrix[22 * nCulm + 0] = (GoFloat64)3.800000 ;
-trainMatrix[22 * nCulm + 1] = (GoFloat64)-5.000000 ;
-trainMatrix[22 * nCulm + 2] = (GoFloat64)1.993630 ;
-trainMatrix[23 * nCulm + 0] = (GoFloat64)4.200000 ;
-trainMatrix[23 * nCulm + 1] = (GoFloat64)-5.000000 ;
-trainMatrix[23 * nCulm + 2] = (GoFloat64)1.995199 ;
-trainMatrix[24 * nCulm + 0] = (GoFloat64)4.600000 ;
-trainMatrix[24 * nCulm + 1] = (GoFloat64)-5.000000; 
-trainMatrix[24 * nCulm + 2] = (GoFloat64)1.996174;
-	
-testMatrix[0 * nCulm + 0] = (GoFloat64) -5.000000;
-testMatrix[0 * nCulm + 1] = (GoFloat64) -5.000000;
-testMatrix[0 * nCulm + 2] = (GoFloat64) 1.996805 ;
-testMatrix[1 * nCulm + 0] = (GoFloat64) -4.600000 ;
-testMatrix[1 * nCulm + 1] = (GoFloat64) -5.000000; 
-testMatrix[1 * nCulm + 2] = (GoFloat64)1.996174 ;
-testMatrix[2 * nCulm + 0] = (GoFloat64)-4.200000 ;
-testMatrix[2 * nCulm + 1] = (GoFloat64)-5.000000 ;
-testMatrix[2 * nCulm + 2] = (GoFloat64)1.995199 ;
-testMatrix[3 * nCulm + 0] = (GoFloat64)-3.800000 ;
-testMatrix[3 * nCulm + 1] = (GoFloat64)-5.000000 ;
-testMatrix[3 * nCulm + 2] = (GoFloat64)1.993630 ;
-testMatrix[4 * nCulm + 0] = (GoFloat64)-3.400000 ;
-testMatrix[4 * nCulm + 1] = (GoFloat64)-5.000000 ;
-testMatrix[4 * nCulm + 2] = (GoFloat64)1.990975 ;
-testMatrix[5 * nCulm + 0] = (GoFloat64)-3.000000 ;
-testMatrix[5 * nCulm + 1] = (GoFloat64)-5.000000 ;
-testMatrix[5 * nCulm + 2] = (GoFloat64)1.986207 ;
-testMatrix[6 * nCulm + 0] = (GoFloat64)-2.600000 ;
-testMatrix[6 * nCulm + 1] = (GoFloat64)-5.000000 ;
-testMatrix[6 * nCulm + 2] = (GoFloat64)1.976988 ;
-testMatrix[7 * nCulm + 0] = (GoFloat64)-2.200000 ;
-testMatrix[7 * nCulm + 1] = (GoFloat64)-5.000000 ;
-testMatrix[7 * nCulm + 2] = (GoFloat64)1.957462 ;
-testMatrix[8 * nCulm + 0] = (GoFloat64)-1.800000 ;
-testMatrix[8 * nCulm + 1] = (GoFloat64)-5.000000 ;
-testMatrix[8 * nCulm + 2] = (GoFloat64)1.911428 ;
-testMatrix[9 * nCulm + 0] = (GoFloat64)-1.400000 ;
-testMatrix[9 * nCulm + 1] = (GoFloat64)-5.000000 ;
-testMatrix[9 * nCulm + 2] = (GoFloat64)1.791859 ;
-testMatrix[10 * nCulm + 0] = (GoFloat64)-1.000000 ;
-testMatrix[10 * nCulm + 1] = (GoFloat64)-5.000000 ;
-testMatrix[10 * nCulm + 2] = (GoFloat64)1.498403 ;
-testMatrix[11 * nCulm + 0] = (GoFloat64)-0.600000 ;
-testMatrix[11 * nCulm + 1] = (GoFloat64)-5.000000 ;
-testMatrix[11 * nCulm + 2] = (GoFloat64)1.113133 ;
-testMatrix[12 * nCulm + 0] = (GoFloat64)-0.200000 ;
-testMatrix[12 * nCulm + 1] = (GoFloat64)-5.000000 ;
-testMatrix[12 * nCulm + 2] = (GoFloat64)1.000000 ;
-testMatrix[13 * nCulm + 0] = (GoFloat64)0.200000 ;
-testMatrix[13 * nCulm + 1] = (GoFloat64)-5.000000 ;
-testMatrix[13 * nCulm + 2] = (GoFloat64)1.000000 ;
-testMatrix[14 * nCulm + 0] = (GoFloat64)0.600000 ;
-testMatrix[14 * nCulm + 1] = (GoFloat64)-5.000000 ;
-testMatrix[14 * nCulm + 2] = (GoFloat64)1.113133 ;
-testMatrix[15 * nCulm + 0] = (GoFloat64)1.000000 ;
-testMatrix[15 * nCulm + 1] = (GoFloat64)-5.000000 ;
-testMatrix[15 * nCulm + 2] = (GoFloat64)1.498403 ;
-testMatrix[16 * nCulm + 0] = (GoFloat64)1.400000 ;
-testMatrix[16 * nCulm + 1] = (GoFloat64)-5.000000 ;
-testMatrix[16 * nCulm + 2] = (GoFloat64)1.791859 ;
-testMatrix[17 * nCulm + 0] = (GoFloat64)1.800000 ;
-testMatrix[17 * nCulm + 1] = (GoFloat64)-5.000000 ;
-testMatrix[17 * nCulm + 2] = (GoFloat64)1.911428 ;
-testMatrix[18 * nCulm + 0] = (GoFloat64)2.200000 ;
-testMatrix[18 * nCulm + 1] = (GoFloat64)-5.000000 ;
-testMatrix[18 * nCulm + 2] = (GoFloat64)1.957462 ;
-testMatrix[19 * nCulm + 0] = (GoFloat64)2.600000 ;
-testMatrix[19 * nCulm + 1] = (GoFloat64)-5.000000 ;
-testMatrix[19 * nCulm + 2] = (GoFloat64)1.976988 ;
-testMatrix[20 * nCulm + 0] = (GoFloat64)3.000000 ;
-testMatrix[20 * nCulm + 1] = (GoFloat64)-5.000000 ;
-testMatrix[20 * nCulm + 2] = (GoFloat64)1.986207 ;
-	testMatrix[21 * nCulm + 0] = (GoFloat64)3.400000 ;
-			testMatrix[21 * nCulm + 1] = (GoFloat64)-5.000000 ;
-				testMatrix[21 * nCulm + 2] = (GoFloat64)1.990975 ;
-	testMatrix[22 * nCulm + 0] = (GoFloat64)3.800000 ;
-		testMatrix[22 * nCulm + 1] = (GoFloat64)-5.000000 ;
-			testMatrix[22 * nCulm + 2] = (GoFloat64)1.993630 ;
-	testMatrix[23 * nCulm + 0] = (GoFloat64)4.200000 ;
-		testMatrix[23 * nCulm + 1] = (GoFloat64)-5.000000 ;
-testMatrix[23 * nCulm + 2] = (GoFloat64)1.995199 ;
-testMatrix[24 * nCulm + 0] = (GoFloat64)4.600000 ;
-testMatrix[24 * nCulm + 1] = (GoFloat64)-5.000000; 
-testMatrix[24 * nCulm + 2] = (GoFloat64)1.996174;
-	
-	
-	
-	AddTestData("X Y", "F", testMatrix, TnEntries);
-	AddTrainData("X Y", "F", trainMatrix, nEntries);
-	/****** InitSearch ******/
-	
-		GoInt UsableVarsLen = 2;
-		GoInt *UsableVarsData = malloc(sizeof(GoInt) * UsableVarsLen);
-		UsableVarsData[0] = 0;
-		UsableVarsData[1] = 1;
-		//UsableVarsData[2] = 2;
-		//UsableVarsData[3] = 3;
-		//UsableVarsData[4] = 4;
-	
-	//TestSlice(UsableVarsData, UsableVarsLen);
-	
-	GoInt *UsableVars = UsableVarsData; //{ .data = UsableVarsData, .len = UsableVarsLen, .cap = UsableVarsLen };   //GoSlice was type
-
-
-	//func InitSearch(maxGen int, pgeRptEpoch int, pgeRptCount int, pgeArchiveCap int, peelCnt int, evalrCount int, zeroEpsilon float64, initMethod string, growMethod string, sortType int)
-	
-	GoInt MaxGen = 2000;
-	GoInt PgeRptEpoch = 1;
-	GoInt PgeRptCount = 1;
-	GoInt PgeArchiveCap = 256;
-	
-	GoInt PeelCnt = 3;
-
-	GoFloat64 ZeroEpsilon = 0.00001;
-	GoInt EvalrCount = 2; //vorhernull?!
-	
-	char *InitMethod = "method1"; //{ .p = "method1", .n = strlen("method1") };
-	char *GrowMethod = "method1"; //{ .p = "method1", .n = strlen("method1") };
-	
-	int SortType = 0;
-	
-	InitSearch(MaxGen, PgeRptEpoch, PgeRptCount, PgeArchiveCap, PeelCnt, EvalrCount, ZeroEpsilon, InitMethod, GrowMethod, SortType);
-	printf("InitSearch\n");
-	
-	
-	/****** InitTreeParams ******/
-
-	//func InitTreeParams(Roots string, Nodes string, NonTrig string, Leafs string, UsableVars []int, MaxSize int, MinSize int, MaxDepth int, MinDepth int)
-	char *Roots = "Add"; //{ .p = "Add", .n = strlen("Add") };
-	char *Nodes = "Add Mul Div Sin Cos Exp Log Sqrt"; //{ .p = "Add Mul", .n = strlen("Add Mul") };
-	//char *Nodes = "Add Mul";
-	char *NonTrig = "Add Mul Div Exp Log"; //{ .p = "Add Mul", .n = strlen("Add Mul") };
-	//char *NonTrig = "Add Mul";
-	char *Leafs = "Var ConstantF"; //{ .p = "Var ConstantF", .n = strlen("Var ConstantF") }; 
-	GoInt MaxSize = 50;
-	GoInt MinSize = 4; 
-	GoInt MaxDepth = 6;
-	GoInt MinDepth = 1;
-	
-	InitTreeParams(Roots, Nodes, NonTrig, Leafs, UsableVars, UsableVarsLen, MaxSize, MinSize, MaxDepth, MinDepth);
-	printf("InitTreeParams\n");
-	
-	/****** InitProblem ******/
-
-	//func InitProblem(Name string, MaxIter int, HitRatio float64, SearchVar int, UsableVars []int, ProblemTypeString string, numProcs int)
-	char *Name = "Korns_02"; //{ .p = "Korns_02", .n = strlen("Korns_02") };
-	GoInt MaxIter = 5000;
-	GoFloat64 HitRatio = 0.01;
-	GoInt SearchVar = 0;
-
-	char *ProblemTypeString = "benchmark"; //{ .p = "benchmark", .n = strlen("benchmark") }; //real not working/implementated | diffeq is implementated
-	GoInt numProcs = 12;
-	
-	printf("InitProblem\n");
-	fflush(stdout);
-	InitProblem(Name, MaxIter, HitRatio, SearchVar, ProblemTypeString, numProcs);
-	
-	printf("******************************** Finished Init **********************************\n");
-	
-	/****** Run ******/
-
-	//GoInt maxi = GetMaxIterW();
-	//printf("GetMaxIter: %d\n", maxi);
-	//fflush(stdout);
-
-	//EvaluateW();
-	//printf("EvaluateW\n");
-	
-    //LoopW();
-	//printf("LoopW\n");
-	
-
-	//MaxIter = 5;
-	for (int fs1 = 1; fs1 <= MaxIter; fs1++) {		
-		printf("******************************** StepW: %d **********************************\n", fs1);
-		GoInt nresults = StepW();
-		
-		for (int ires = 0; ires < nresults; ires++) {
-			
-			GoInt nobestpush = 0;
-			GoInt bestnewminerr = 0; 
-			GoInt bestlen1 = 0; 
-			GoInt bestlen2 = 0;
-			GoInt testscore = 0;
-			GoInt ncoeff = 0;
-			
-			char* stepRes = GetStepResult(&nobestpush, &bestnewminerr, &bestlen1, &bestlen2, &testscore, &ncoeff);			
-		
-			GoFloat64 *coeff = (GoFloat64 *)malloc(UsableVarsLen * sizeof(GoFloat64));
-			
-			for(int icoeff = 0; icoeff < UsableVarsLen; icoeff++) {
-				coeff[icoeff] = 0;
-			}
-			
-			//printf("C: No best push\n");
-			printf("C: push/pop (%d,%d) %s\n", bestlen1, bestlen2, stepRes);
-			for(int icoeff = 0; icoeff < ncoeff; icoeff++){
-				GoFloat64 coeffVal = GetCoeffResult();
-				printf("C: coeff vals: %f\n", coeffVal);
-			}
-			if (bestnewminerr) {
-				//printf("C: Best New Min Error\n");
-			}
-			printf("C: TestScore %f\n", testscore);
-	
-		}
-		fflush(stdout);
-	}
-	
-	return 0;
-	
-	fflush(stdout);
-	
-	//CleanW();
-	//printf("CleanW\n");
-	fflush(stdout);
-	
-	printf("Run Start\n");
-	fflush(stdout);
-	//RunW();
-	fflush(stdout);
-	printf("Run Ende\n");
-	
-	// !!!!!!!!!!!!!! FREE DATA !!!!!!!!!!!!!!!!!!!!!
-	
-	return 0;
-}
Index: anches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/testmulti.c
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/testmulti.c	(revision 16619)
+++ 	(revision )
@@ -1,447 +1,0 @@
-#include <stdio.h>
-#include <string.h>
-#include <stdlib.h>
-#include <ctype.h>
-
-#include "list.c"
-#include "pge.h"
-
-#define MAX_CHAR 255
-//#define DEBUG
-
-char* trim(char *str)
-{
-  char *end;
-  while(isspace((unsigned char)*str)) {
-    str++;
-  }
-  if(*str == 0) {
-    return "\0";
-  }
-  end = str + strlen(str) - 1;
-  while(end > str && isspace((unsigned char)*end)) {
-    end--;
-  }
-  end[1] = '\0';
-  return str;
-}
-
-GoInt CountCols(char *str) {
-    GoInt res = 0;
-    trim(str);
-    char *partial = strtok(str, " ");
-    while(partial != NULL) {
-        res++;
-        partial = strtok(NULL, " ");
-    }
-    return res;
-}
-
-char* lowerCase(char *str) {
-    int i = 0;
-    while(str[i] && str[i] != '\0'){
-        char c = tolower(str[i]);
-        str[i] = c;
-        i++;
-    }
-    return str;
-}
-
-char *strndup(char *str, int chars)
-{
-    char *buffer;
-    int n;
-
-    buffer = (char *) malloc(chars +1);
-    if (buffer)
-    {
-        for (n = 0; ((n < chars) && (str[n] != 0)) ; n++) buffer[n] = str[n];
-        buffer[n] = 0;
-    }
-
-    return buffer;
-}
-
-//Read train / test data
-GoFloat64* ReadInputData(char *fileName, GoInt* nEntries, GoInt* nCol, char** depHead, char** indHead) {
-    FILE *fp;
-    fp = fopen(fileName, "r");
-    if (fp == NULL) {
-        char msg[MAX_CHAR];
-        strcpy(msg, "Error in ReadInputData, failed to open file: ");
-        perror(strcat(msg, fileName));
-        exit(EXIT_FAILURE);
-    }
-
-    int lineNr = 0;
-    int currentC = 0;
-    char line[MAX_CHAR];
-
-    fgets(line, MAX_CHAR, fp);
-    GoInt nIndCol = CountCols(strdup(line));
-    *indHead = strdup(trim(line)); //, nIndCol * 2 - 1);
-    #ifdef DEBUG
-        printf("Independent Variables %d\n", nIndCol);
-    #endif
-
-    fgets(line, MAX_CHAR, fp);
-    GoInt nDepCol = CountCols(strdup(line));
-    *depHead = strdup(trim(line)); //, nDepCol * 2 - 1);
-    #ifdef DEBUG
-        printf("Dependent Variables %d\n", nDepCol);
-    #endif
-
-    *nCol = nDepCol + nIndCol;
-    if(nDepCol < 0 || nIndCol < 0) {
-        perror("There must be at least one independent and one dependent colum!\n");
-        exit(EXIT_FAILURE);
-    }
-
-    GoFloat64 *values = NULL;
-    while(fgets(line, MAX_CHAR, fp)) {
-        trim(line);
-        currentC = 0;
-        values = (GoFloat64 *) realloc(values, (lineNr + 1) * (*nCol) * sizeof(GoFloat64));        
-        if(values == NULL) {
-            perror("Out of memory!\n");
-        }
-        char *partial = strtok(line, " ");
-        while(partial != NULL) {
-            GoFloat64 value = 0;
-            value = strtod(partial, NULL);
-            int pos = lineNr * (*nCol) + currentC;
-            values[pos] = (GoFloat64) value;
-            #ifdef DEBUG
-                printf("Value (%d, %d) %d: %f\n", lineNr, currentC, pos, values[pos]);
-            #endif        
-            currentC++;
-            partial = strtok(NULL, " ");
-        }
-        lineNr++;
-    }
-    *nEntries = lineNr;
-    fclose(fp);
-    return values;
-}
-
-//Print Test / Train data
-void PrintInputData(double *values, int nEntries, int nCols) {
-    for(int i = 0; i < nEntries; i++) {     //Rows
-        for(int j = 0; j < nCols; j++) {    //Cols
-            int pos = i * nCols + j;
-            printf("Value (%d, %d) %d: %f\n", i, j, pos, values[pos]);
-        }
-    }
-}
-
-GoInt* CreateUseableVars(long n) {
-	GoInt *data = malloc(sizeof(GoInt) * n);
-    for(GoInt i = 0; i < n; i++) {
-        data[i] = i;
-    }
-	return data;
-}
-
-int isTreeSetting(char *key) {
-    if(strcmp(key, "roots") == 0 || strcmp(key, "nodes") == 0 || strcmp(key, "nontrig") == 0 || strcmp(key, "leafs") == 0) {
-        return 1;
-    }
-    return 0;
-}
-
-char* MergeArgs(char **values, int nValues) {
-    char margs[MAX_CHAR] = "\0";
-    for(int i = 0; i < nValues; i++) {
-        strcat(margs, lowerCase(values[i]));
-        if(i + 1 < nValues) {
-            strcat(margs, " ");
-        }
-    }
-    return strdup(margs);
-}
-
-void SetConfValue(char *keySetting, char **values, int nValues) {
-    #ifdef DEBUG
-        for(int i = 0; i < nValues; i++) {
-            printf("Key: %s Nr: %d Value: %s\n", keySetting, i, values[i]);
-        }
-    #endif
-    void *data = NULL;
-    if (strcmp(keySetting, "sorttype") == 0) {
-        data = (GoInt *)malloc(sizeof(GoInt));
-        *((GoInt *)data) = 0;
-        if(strcmp("paretotesterror", lowerCase(values[0])) != 0) {
-            *((GoInt *)data) = 1;
-        }
-    } else if (strcmp(keySetting, "usablevars") == 0) {
-        data = (GoInt *)malloc(sizeof(GoInt));
-        *((GoInt *)data) = nValues;
-    } else if(strcmp(keySetting, "zeroepsilon") == 0 || strcmp(keySetting, "hitratio") == 0) {
-        data = (GoFloat64 *)malloc(sizeof(GoFloat64));
-        *((GoFloat64 *)data) = strtod(values[0], NULL);
-    } else if(isTreeSetting(keySetting) == 1) {
-        data = MergeArgs(values, nValues);
-    } else if(strcmp(keySetting, "problemtype") == 0 || strcmp(keySetting, "name") == 0) {
-        data = strdup(lowerCase(values[0]));
-    } else {    //Integer
-        data = (GoInt *)malloc(sizeof(GoInt));
-        *((GoInt *)data) = strtol(values[0], NULL, 10);
-    }
-    configPrepend(strdup(keySetting), (void *)data);
-}
-
-void ReadConfigFile(char *filePath) {
-    FILE *fp;
-    fp = fopen(filePath, "r");
-    if (fp == NULL) {
-        perror("Error in ReadConfigFile, failed to open file\n");
-        exit(EXIT_FAILURE);
-    }
-    char line[MAX_CHAR];
-    fgets(line, MAX_CHAR, fp);
-
-    while(fgets(line, MAX_CHAR, fp)) {
-        trim(line);
-        char *partial = strtok(line, " ");
-        int currentPart = 0;
-        char keySetting[MAX_CHAR] = "\0";
-        int valid = 0;
-        char **values = NULL;
-        int nValues = 0;
-        while(partial != NULL) {
-            trim(partial);
-            if(strlen(partial) > 0 && partial[0] == '#') {
-                break;
-            }
-            if(strlen(partial) > 0) { 
-                if(currentPart == 0) {                  //Name / Key
-                    sscanf(partial, "%s", keySetting);
-                } else if(currentPart == 1) {           //Eq char
-                    if(strlen(keySetting) > 0) {
-                        valid = 1;
-                    }
-                } else {                                //Value
-                    values = (char **) realloc(values, (nValues + 1) * MAX_CHAR * sizeof(char));
-                    values[nValues] = partial;
-                    nValues++;
-                }
-                currentPart++;
-            }
-            partial = strtok(NULL, " ");
-        }
-        if(valid == 1) {
-            SetConfValue(lowerCase(keySetting), values, nValues);
-        }
-    }
-}
-
-void RunTest(GoFloat64 *TrainData, int nTrainEntries, int nTrainCols, GoFloat64 *TestData, int nTestEntries, int nTestCols, char *depHeadTrain, char *indepHeadTrain, char *depHeadTest, char *indepHeadTest) {
-    putenv("GOGC=off");
-	putenv("GODEBUG=cgocheck=0");
-	putenv("CGO_ENABLED=1");
-    #ifdef DEBUG
-        putenv("PGEDEBUG=1");
-        printf("%s %s %s %s", indepHeadTest, indepHeadTrain, depHeadTest, depHeadTrain);
-    #endif
-    fflush(stdout);
-
-    AddTestData(indepHeadTest, depHeadTest, TestData, nTestEntries);
-	AddTrainData(indepHeadTrain, depHeadTrain, TrainData, nTrainEntries);
-    printf("Added Train- and Testdata\n");
-
-    GoInt MaxGen = *((GoInt *)configGet("maxgen"));
-    GoInt PgeRptEpoch = *((GoInt *)configGet("pgerptepoch")); 
-    GoInt PgeRptCount = *((GoInt *)configGet("pgerptcount"));
-    GoInt PgeArchiveCap = *((GoInt *)configGet("pgearchivecap"));
-    GoInt PeelCnt = *((GoInt *)configGet("peelcnt"));
-    GoInt EvalrCount = *((GoInt *)configGet("evalcnt"));
-    GoInt SortType = *((GoInt *)configGet("sorttype"));
-    GoFloat64 ZeroEpsilon = *((GoFloat64 *)configGet("zeroepsilon"));
-    char *InitMethod = (char *)configGet("initmethod");
-    char *GrowMethod = (char *)configGet("growmethod");
-    
-    #ifdef DEBUG
-        printf("1: %d 2: %d 3: %d 4: %d 5: %d 6: %d 7: %d 8: %lf 9: %s 10: %s\n", 
-        MaxGen, PgeRptEpoch, PgeRptCount, PgeArchiveCap, PeelCnt, EvalrCount, SortType, ZeroEpsilon, InitMethod, GrowMethod);
-    #endif
-
-    InitSearch(MaxGen, PgeRptEpoch, PgeRptCount, PgeArchiveCap, PeelCnt, EvalrCount, ZeroEpsilon, InitMethod, GrowMethod, SortType);
-    printf("Initialized Search\n");
-    fflush(stdout);
-
-    GoInt MaxSize = *((GoInt *)configGet("maxsize"));
-    GoInt MinSize = *((GoInt *)configGet("minsize")); 
-    GoInt MaxDepth = *((GoInt *)configGet("maxdepth"));
-    GoInt MinDepth = *((GoInt *)configGet("mindepth"));
-    char *Roots = (char *)configGet("roots");
-    char *Nodes = (char *)configGet("nodes");
-    char *NonTrig = (char *)configGet("nontrig");
-    char *Leafs = (char *)configGet("leafs");
-    GoInt nUsableVars = *((GoInt *)configGet("usablevars"));
-
-    #ifdef DEBUG
-        printf("1: %d 2: %d 3: %d 4: %d 5: %s 6: %s 7: %s 8: %s 9: %d\n", MaxSize, MinSize, MaxDepth, MinDepth, Roots, Nodes, NonTrig, Leafs, nUsableVars);
-    #endif
-
-    InitTreeParams(Roots, Nodes, NonTrig, Leafs, nUsableVars, MaxSize, MinSize, MaxDepth, MinDepth);
-	printf("Initialized TreeParams\n");
-    fflush(stdout);
-
-    GoInt MaxIter = *((GoInt *)configGet("maxiter"));
-    GoInt SearchVar = *((GoInt *)configGet("searchvar"));
-    GoFloat64 HitRatio = *((GoFloat64 *)configGet("hitratio"));
-    GoInt NumProcs = *((GoInt *)configGet("numprocs"));
-    char *Name = (char *)configGet("name");
-	char *ProblemType = (char *)configGet("problemtype");
-	
-    #ifdef DEBUG
-        printf("1: %d 2: %d 3: %lf 4: %d 5: %s 6: %s\n", MaxIter, SearchVar, HitRatio, NumProcs, Name, ProblemType);
-    #endif
-
-    InitProblem(Name, MaxIter, HitRatio, SearchVar, ProblemType, NumProcs);
-    printf("Initialized Problem\n");
-    fflush(stdout);
-
-    for (int fs1 = 1; fs1 <= MaxIter; fs1++) {		
-		printf("******************************** StepW: %d **********************************\n", fs1);
-		GoInt nresults = StepW();
-
-		for (int ires = 0; ires < nresults; ires++) {
-			GoInt testscore = 0;
-			GoInt ncoeff = 0;
-			
-			char* stepRes = GetStepResult(&testscore, &ncoeff);
-			GoFloat64 *coeff = (GoFloat64 *)malloc(nUsableVars * sizeof(GoFloat64));
-			
-			for(int icoeff = 0; icoeff < nUsableVars; icoeff++) {
-				coeff[icoeff] = 0;
-			}
-			printf("C: push/pop (%d,%d) %s\n", fs1, ires, stepRes);
-            printf("C: TestScore %d\n", testscore);
-			for(int icoeff = 0; icoeff < ncoeff; icoeff++){
-				GoFloat64 coeffVal = GetCoeffResult();
-				printf("C: coeff vals: %f\n", coeffVal);
-			}
-		}
-		fflush(stdout);
-	}
-}
-
-//TODO: Dynamic overwrite
-void ParseArgs(int argc, char *argv[], char** problemName, char **initMethod, char **growMethod, GoInt *nPeel, GoInt *nEvals, GoInt *maxIter) {
-    if(argc < 2 ){
-        printf("Usage: %s ProblemName [-evals=3] [-peel=3] [-iter=200] [-init=method1] [-grow=method1]\n\n", argv[0]);
-        printf("Using default Problem: %s\n", *problemName);
-        perror("Missing required argument 1: ProblemName, eg. Pagie_1, Korns_02\n");
-    } else {
-        *problemName = strdup(argv[1]);
-        for(int i = 2; i < argc; i++) {
-            if(strcmp(argv[i], "--help") == 0 || strcmp(argv[i], "-h") == 0 || strcmp(argv[1], "--help") == 0 || strcmp(argv[1], "-h") == 0) {
-                printf("Usage: %s ProblemName [-evals=3] [-peel=3] [-iter=200] [-init=method1] [-grow=method1]\n\n" , argv[0]);
-                exit(EXIT_SUCCESS);
-            } else if(strncmp(argv[i], "-evals", 6) == 0) {
-                sscanf(argv[i], "-evals=%ld", nEvals);
-            } else if(strncmp(argv[i], "-peel", 5) == 0) {
-                sscanf(argv[i], "-peel=%ld", nPeel);
-            } else if(strncmp(argv[i], "-iter", 5) == 0) {
-                sscanf(argv[i], "-iter=%ld", maxIter);
-            } else if(strncmp(argv[i], "-init", 5) == 0) {
-                sscanf(argv[i], "-init=%s", *initMethod);
-            } else if(strncmp(argv[i], "-grow", 5) == 0) {
-                sscanf(argv[i], "-grow=%s", *growMethod);
-            } else {
-                char msg[MAX_CHAR];
-                strcpy(msg, "Unkown argument: ");
-                perror(strcat(msg, argv[i]));
-            }
-        }
-    }
-}
-
-int main(int argc, char *argv[]) {
-    char *problemName = strdup("Pagie_1");
-    GoInt *nEvals = malloc(sizeof(GoInt));
-    GoInt *nPeel = malloc(sizeof(GoInt));
-    GoInt *maxIter = malloc(sizeof(GoInt));
-    GoInt *numProcs = malloc(sizeof(GoInt));
-    *nEvals = 3;
-    *nPeel = 3;
-    *maxIter = 200;
-    *numProcs = 12;
-    char *initMethod = strdup("method1");
-    char *growMethod = strdup("method1");
-    ParseArgs(argc, argv, &problemName, &initMethod, &growMethod, nPeel, nEvals, maxIter);
-
-    printf("MaxIter: %ld\n", *maxIter);
-    printf("Evals: %ld\n", *nEvals);
-    printf("InitMethod: %s\n", initMethod);
-
-    //* Testdata
-    char tstPath[MAX_CHAR] = "go-code/go-pge/data/benchmark/"; //"../data/benchmark/";
-    strcat(tstPath, problemName);
-    strcat(tstPath, ".tst");
-
-    printf("TestFile %s\n", tstPath);
-    GoInt nTestEntries = 0;
-    GoInt nTestCols = 0;
-    char *TestDepHead, *TestIndHead;
-    GoFloat64 *TestData = ReadInputData(tstPath, &nTestEntries, &nTestCols, &TestDepHead, &TestIndHead);
-    printf("TestData: Entries %ld, Colums %ld\n", nTestEntries, nTestCols);
-    #ifdef DEBUG
-        PrintInputData(TestData, nTestEntries, nTestCols);
-    #endif
-
-    //* Traindata
-    char trnPath[MAX_CHAR] = "go-code/go-pge/data/benchmark/"; //"../data/benchmark/";
-    strcat(trnPath, problemName);
-    strcat(trnPath, ".trn");
-
-    printf("TrainFile %s\n", trnPath);
-    GoInt nTrainEntries = 0;
-    GoInt nTrainCols = 0;
-    char *TrainDepHead, *TrainIndHead;
-    GoFloat64 *TrainData = ReadInputData(trnPath, &nTrainEntries, &nTrainCols, &TrainDepHead, &TrainIndHead);
-    printf("TrainData: Entries %ld, Colums %ld\n", nTrainEntries, nTrainCols);
-    #ifdef DEBUG
-        PrintInputData(TrainData, nTrainEntries, nTrainCols);
-    #endif
-
-    //* Configfiles
-    char defaultConfPath[] = "go-code/go-pge/config/pge/pge_default.cfg"; //"../config/pge/pge_default.cfg";
-    printf("Default Config Path %s\n", defaultConfPath);
-    ReadConfigFile(defaultConfPath);
-
-    char confPath[MAX_CHAR] = "go-code/go-pge/config/prob/bench/"; //"../config/prob/bench/";
-    strcat(confPath, problemName);
-    strcat(confPath, ".cfg");
-    printf("Config Path %s\n", confPath);
-    ReadConfigFile(confPath);
-
-    configPrint();
-    #ifdef DEBUG
-        configPrint();
-    #endif
-
-    //Overwrite with args
-    configPrepend(strdup("growmethod"), growMethod);
-    configPrepend(strdup("initmethod"), initMethod);
-    configPrepend(strdup("evalcnt"), nEvals);
-    configPrepend(strdup("peelcnt"), nPeel);
-    configPrepend(strdup("maxiter"), maxIter);
-    configPrepend(strdup("name"), problemName);
-    configPrepend(strdup("numprocs"), numProcs);
-
-    //* RunPGE
-    RunTest(TrainData, nTrainEntries, nTrainCols, TestData, nTestEntries, nTestCols, TrainDepHead, TrainIndHead, TestDepHead, TestIndHead);
-
-    //* Dispose
-    free(TestData);
-    TestData = NULL;
-
-    free(TrainData);
-    TrainData = NULL;
-
-    configDispose();
-
-    return EXIT_SUCCESS;
-}
Index: /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/tmplog/Korns_02_HL.log
===================================================================
--- /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/tmplog/Korns_02_HL.log	(revision 16620)
+++ /branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.DataAnalysis.PGE/3.3/tmplog/Korns_02_HL.log	(revision 16620)
@@ -0,0 +1,150 @@
+22.02.2019 15:28:06	Push/Pop (0, 2002) C_0*X_4 coeff: 0,0104666972954713
+22.02.2019 15:28:06	Push/Pop (1, 2002) C_0*X_1*X_4 coeff: 0,00491651958122988
+22.02.2019 15:28:06	Push/Pop (2, 2002) C_0*X_0 coeff: 0,277836398470948
+22.02.2019 15:28:06	Push/Pop (0, 2002) C_0*X_1 coeff: -1,56098011657993
+22.02.2019 15:28:06	Push/Pop (1, 2002) C_0*X_3*X_4 coeff: 0,00534521760417706
+22.02.2019 15:28:06	Push/Pop (2, 2002) C_0*X_4*( X_1 + C_1*X_3 ) coeff: 0,00477110946524649 1,0930575873322
+22.02.2019 15:28:07	Push/Pop (0, 2002) C_0*X_3 coeff: -2,50779595974434
+22.02.2019 15:28:07	Push/Pop (1, 2002) C_0*(X_4)^2 coeff: 8,05165883467623E-05
+22.02.2019 15:28:07	Push/Pop (2, 2002) C_0*X_4*( C_1 + X_1 ) coeff: 0,00491715926867373 2,18298622827014
+22.02.2019 15:28:07	Push/Pop (0, 2002) C_0*X_0*X_4 coeff: -0,000178299609918525
+22.02.2019 15:28:07	Push/Pop (1, 2002) C_0*X_3*tan(X_2) coeff: 1,06594699726929E-05
+22.02.2019 15:28:07	Push/Pop (2, 2002) C_0*X_4*( C_1 + X_1 ) coeff: 0,00491715926867373 2,18298622827014
+22.02.2019 15:28:08	Push/Pop (0, 2002) C_0*tan(X_2) coeff: -0,000436146265492129
+22.02.2019 15:28:08	Push/Pop (1, 2002) C_0*X_4*sin(X_3) coeff: 0,00637028215727958
+22.02.2019 15:28:08	Push/Pop (2, 2002) C_0*X_3*X_4*cos(X_4) coeff: -0,000423127639235688
+22.02.2019 15:28:08	Push/Pop (0, 2002) C_0*X_2*X_4 coeff: -0,000902297668971895
+22.02.2019 15:28:08	Push/Pop (1, 2002) C_0*X_4*tan(X_3) coeff: -0,000278799491635489
+22.02.2019 15:28:08	Push/Pop (2, 2002) C_0*cos(X_4)*tan(X_2) coeff: -0,00155457256161444
+22.02.2019 15:28:09	Push/Pop (0, 2002) C_0*X_2 coeff: 2,03359016221082
+22.02.2019 15:28:09	Push/Pop (1, 2002) C_0*tan(X_3) coeff: 0,0555701131989748
+22.02.2019 15:28:09	Push/Pop (2, 2002) C_0*X_1*tan(X_2) coeff: -1,27608633478843E-05
+22.02.2019 15:28:09	Push/Pop (0, 2002) C_0*(X_0)^2 coeff: 0,00280378744948658
+22.02.2019 15:28:09	Push/Pop (1, 2002) C_0*(tan(X_3))^2 coeff: 1,8280940973073E-05
+22.02.2019 15:28:09	Push/Pop (2, 2002) C_0*X_2*X_4*sin(X_2) coeff: 0,00071034422670225
+22.02.2019 15:28:10	Push/Pop (0, 2002) C_0*sin(X_4) coeff: -4,06730509984776
+22.02.2019 15:28:10	Push/Pop (1, 2002) C_0*X_2*tan(X_2) coeff: -2,08779582381165E-05
+22.02.2019 15:28:10	Push/Pop (2, 2002) C_0*cos(X_3)*(X_0)^2 coeff: -0,000336932084826158
+22.02.2019 15:28:11	Push/Pop (0, 2002) C_0*tan(X_1) coeff: 0,40864697523726
+22.02.2019 15:28:11	Push/Pop (1, 2002) C_0*(sin(X_4))^2 coeff: 0,123484069517861
+22.02.2019 15:28:11	Push/Pop (2, 2002) C_0*sin(X_2)*tan(X_2) coeff: -0,000318152342249099
+22.02.2019 15:28:12	Push/Pop (0, 2002) C_0*tan(X_4) coeff: -0,383412879210852
+22.02.2019 15:28:12	Push/Pop (1, 2002) C_0*X_0*tan(X_1) coeff: 0,000198598450569578
+22.02.2019 15:28:13	Push/Pop (2, 2002) C_0*tan(X_2)*tan(X_3) coeff: 3,03801045980559E-05
+22.02.2019 15:28:14	Push/Pop (0, 2002) C_0*tan(X_0) coeff: 0,34324800762236
+22.02.2019 15:28:14	Push/Pop (1, 2002) C_0*X_4*sin(X_1) coeff: -0,00753006772245774
+22.02.2019 15:28:14	Push/Pop (2, 2002) C_0*sin(X_1)*tan(X_4) coeff: 0,0542487878533342
+22.02.2019 15:28:15	Push/Pop (0, 2002) C_0*X_0*X_2 coeff: 0,00904737937541342
+22.02.2019 15:28:15	Push/Pop (1, 2002) C_0*X_4*cos(X_0) coeff: 0,00634349550686829
+22.02.2019 15:28:15	Push/Pop (2, 2002) C_0*(C_1*X_4)^2 coeff: 8,0516588344682E-05 1,00000000001294
+22.02.2019 15:28:15	Push/Pop (0, 2002) C_0*X_0*X_1 coeff: -0,0115280085198097
+22.02.2019 15:28:15	Push/Pop (1, 2002) C_0*X_1*X_2*X_4 coeff: 1,63161306740703E-05
+22.02.2019 15:28:15	Push/Pop (2, 2002) C_0*sin(X_0)*tan(X_2) coeff: 0,000414074151343838
+22.02.2019 15:28:16	Push/Pop (0, 2002) C_0*sin(X_0) coeff: -14,9480163056772
+22.02.2019 15:28:16	Push/Pop (1, 2002) C_0*X_4*cos(X_3) coeff: -0,0179170776068879
+22.02.2019 15:28:16	Push/Pop (2, 2002) C_0*tan(X_1)*tan(X_2) coeff: 6,20862180628635E-05
+22.02.2019 15:28:17	Push/Pop (0, 2002) C_0*X_0*X_3 coeff: -0,0162447230338883
+22.02.2019 15:28:17	Push/Pop (1, 2002) C_0*X_4*sin(X_4) coeff: 0,0377257710797978
+22.02.2019 15:28:17	Push/Pop (2, 2002) C_0*X_4*(cos(X_3))^2 coeff: 0,0116375213603475
+22.02.2019 15:28:18	Push/Pop (0, 2002) C_0*(X_1)^2 coeff: 0,0248383324809314
+22.02.2019 15:28:18	Push/Pop (1, 2002) C_0*X_3*(X_0)^2 coeff: -1,12918365093429E-05
+22.02.2019 15:28:18	Push/Pop (2, 2002) C_0*cos(X_3)*(X_4)^2 coeff: -0,000489985679950028
+22.02.2019 15:28:19	Push/Pop (0, 2002) C_0*(X_1)^3 coeff: -0,000200457690104094
+22.02.2019 15:28:19	Push/Pop (1, 2002) C_0*X_2*X_3*X_4 coeff: 1,06681353005599E-05
+22.02.2019 15:28:19	Push/Pop (2, 2002) C_0*X_1*X_4*cos(X_4) coeff: -0,000474254958254976
+22.02.2019 15:28:20	Push/Pop (0, 2002) C_0*(X_2)^2 coeff: 0,0310002267493001
+22.02.2019 15:28:20	Push/Pop (1, 2002) C_0*X_4*cos(X_2) coeff: -0,0172662609091667
+22.02.2019 15:28:20	Push/Pop (2, 2002) C_0*X_4*(cos(X_0))^2 coeff: 0,00717757324561919
+22.02.2019 15:28:21	Push/Pop (0, 2002) C_0*(X_2)^3 coeff: 0,000329719566819338
+22.02.2019 15:28:21	Push/Pop (1, 2002) C_0*X_0*sin(X_4) coeff: -0,0202780543745072
+22.02.2019 15:28:21	Push/Pop (2, 2002) C_0*X_1*X_4*cos(X_1) coeff: -0,00033426183337606
+22.02.2019 15:28:22	Push/Pop (0, 2002) C_0*X_1*X_2 coeff: -0,0444071159741963
+22.02.2019 15:28:22	Push/Pop (1, 2002) C_0*X_0*tan(X_3) coeff: 0,000547053352834907
+22.02.2019 15:28:22	Push/Pop (2, 2002) C_0*cos(X_1)*(X_4)^2 coeff: -3,95193427254226E-05
+22.02.2019 15:28:23	Push/Pop (0, 2002) C_0*cos(X_1) coeff: -57,5483407599075
+22.02.2019 15:28:23	Push/Pop (1, 2002) C_0*X_1*tan(X_3) coeff: -0,000479421202691017
+22.02.2019 15:28:23	Push/Pop (2, 2002) C_0*X_2*X_4*cos(X_2) coeff: -3,90417565511375E-05
+22.02.2019 15:28:24	Push/Pop (0, 2002) ( C_0*X_1 ) coeff: -1,56098011657993
+22.02.2019 15:28:24	Push/Pop (1, 2002) C_0*X_4*cos(X_1) coeff: 0,026532690742019
+22.02.2019 15:28:24	Push/Pop (2, 2002) C_0*sin(X_3)*tan(X_2) coeff: -0,000204524234213726
+22.02.2019 15:28:25	Push/Pop (0, 2002) C_0*sin(X_2) coeff: 66,364022833771
+22.02.2019 15:28:25	Push/Pop (1, 2002) C_0*X_4*sin(X_0) coeff: 0,0330534383465167
+22.02.2019 15:28:25	Push/Pop (2, 2002) C_0*sin(X_1)*tan(X_2) coeff: 0,000533301673848105
+22.02.2019 15:28:26	Push/Pop (0, 2002) C_0*X_1*X_3 coeff: 0,069185520329068
+22.02.2019 15:28:26	Push/Pop (1, 2002) C_0*X_4*tan(X_1) coeff: 0,00122135103489256
+22.02.2019 15:28:26	Push/Pop (2, 2002) C_0*X_0*X_4*sin(X_4) coeff: 0,000369971796538387
+22.02.2019 15:28:27	Push/Pop (0, 2002) C_0*(X_3)^2 coeff: 0,0554894706552139
+22.02.2019 15:28:27	Push/Pop (1, 2002) C_0*X_3*(X_4)^2 coeff: -1,74246336087215E-05
+22.02.2019 15:28:27	Push/Pop (2, 2002) C_0*tan(X_0)*tan(X_2) coeff: -0,000252991757080294
+22.02.2019 15:28:28	Push/Pop (0, 2002) C_0*(X_3)^4 coeff: 1,918727511091E-05
+22.02.2019 15:28:28	Push/Pop (1, 2002) C_0*X_0*tan(X_4) coeff: -0,000982894123680927
+22.02.2019 15:28:28	Push/Pop (2, 2002) C_0*sin(X_0)*tan(X_3) coeff: -0,000563323464634414
+22.02.2019 15:28:29	Push/Pop (0, 2002) C_0*(X_3)^3 coeff: -0,0010940455522226
+22.02.2019 15:28:29	Push/Pop (1, 2002) C_0*(tan(X_1))^2 coeff: 0,000265519302509704
+22.02.2019 15:28:29	Push/Pop (2, 2002) C_0*sin(X_4)*cos(X_1) coeff: -0,071618475518598
+22.02.2019 15:28:31	Push/Pop (0, 2002) C_0*X_2*X_3 coeff: -0,0750144700551313
+22.02.2019 15:28:31	Push/Pop (1, 2002) C_0*X_4*sin(X_2) coeff: 0,0333885573222688
+22.02.2019 15:28:31	Push/Pop (2, 2002) C_0*tan(X_2)*tan(X_4) coeff: -4,64712530652003E-05
+22.02.2019 15:28:32	Push/Pop (0, 2002) ( C_0*X_2 ) coeff: 2,03359016221082
+22.02.2019 15:28:32	Push/Pop (1, 2002) C_0*X_4*tan(X_4) coeff: 0,000698095021527205
+22.02.2019 15:28:32	Push/Pop (2, 2002) C_0*X_4*(cos(X_1))^2 coeff: 0,0125633078821959
+22.02.2019 15:28:32	Push/Pop (0, 2002) C_0*sin(X_3) coeff: -90,3606936205687
+22.02.2019 15:28:32	Push/Pop (1, 2002) C_0*X_0*(X_4)^2 coeff: 2,42748311300279E-05
+22.02.2019 15:28:32	Push/Pop (2, 2002) C_0*sin(X_4)*tan(X_2) coeff: -0,000380499738615813
+22.02.2019 15:28:33	Push/Pop (0, 2002) ( C_0*X_3 ) coeff: -2,50779595974434
+22.02.2019 15:28:33	Push/Pop (1, 2002) C_0*X_2*tan(X_3) coeff: 0,00159975928523417
+22.02.2019 15:28:33	Push/Pop (2, 2002) C_0*X_2*X_4*cos(X_3) coeff: -0,000447717631931126
+22.02.2019 15:28:34	Push/Pop (0, 2002) C_0*cos(X_3) coeff: -106,315551585121
+22.02.2019 15:28:34	Push/Pop (1, 2002) C_0*X_4*cos(X_4) coeff: 0,0376709889505499
+22.02.2019 15:28:34	Push/Pop (2, 2002) C_0*X_3*X_4*sin(X_1) coeff: -8,49033688878602E-05
+22.02.2019 15:28:35	Push/Pop (0, 2002) C_0*cos(X_2) coeff: -114,356653239805
+22.02.2019 15:28:35	Push/Pop (1, 2002) C_0*X_0*sin(X_0) coeff: -0,0681287827826549
+22.02.2019 15:28:35	Push/Pop (2, 2002) C_0*X_4*(cos(X_4))^2 coeff: 0,00110899057525844
+22.02.2019 15:28:36	Push/Pop (0, 2002) C_0*cos(X_0) coeff: -127,170231132832
+22.02.2019 15:28:36	Push/Pop (1, 2002) C_0*(sin(X_0))^2 coeff: 2,4246060025358
+22.02.2019 15:28:36	Push/Pop (2, 2002) C_0*tan(C_1*X_2) coeff: -0,000435710635525781 1
+22.02.2019 15:28:39	Push/Pop (0, 2002) C_0*cos(X_4) coeff: 130,301129901319
+22.02.2019 15:28:39	Push/Pop (1, 2002) C_0*X_0*(X_2)^2 coeff: 6,0064901166158E-05
+22.02.2019 15:28:39	Push/Pop (2, 2002) C_0*tan(C_1*X_2) coeff: -0,000435710635525781 1
+22.02.2019 15:28:39	Push/Pop (0, 2002) C_0*sin(X_1) coeff: -130,600733794506
+22.02.2019 15:28:39	Push/Pop (1, 2002) C_0*(sin(X_4))^3 coeff: -3,33480733928257
+22.02.2019 15:28:39	Push/Pop (2, 2002) C_0*X_0*(sin(X_2))^2 coeff: 0,026988648446592
+22.02.2019 15:28:41	Push/Pop (0, 2002) C_0*(sin(X_4))^4 coeff: -2,04446158799834
+22.02.2019 15:28:41	Push/Pop (1, 2002) C_0*X_4*(sin(X_4))^3 coeff: 0,0186043488670246
+22.02.2019 15:28:41	Push/Pop (2, 2002) C_0*tan(C_1*(X_3)^2) coeff: 0,131278551687817 1,50901978435361
+22.02.2019 15:28:45	Push/Pop (0, 2002) C_0*X_0*(X_1)^2 coeff: 7,4727374587092E-05
+22.02.2019 15:28:45	Push/Pop (1, 2002) C_0*sin(X_1)*(X_4)^2 coeff: 9,7644919945322E-05
+22.02.2019 15:28:45	Push/Pop (2, 2002) C_0*tan(C_1*(X_2)^2) coeff: 0,167043583447205 2,23540756243974
+22.02.2019 15:28:48	Push/Pop (0, 2002) C_0*X_3*tan(X_3) coeff: -0,00461380174702412
+22.02.2019 15:28:48	Push/Pop (1, 2002) C_0*X_3*X_4*cos(X_2) coeff: 0,000246744141096811
+22.02.2019 15:28:48	Push/Pop (2, 2002) C_0*X_1*X_4*( C_1 + X_1 ) coeff: 1,3923052877209E-05 349,482447470303
+22.02.2019 15:28:49	Push/Pop (0, 2002) C_0*(sin(X_4))^5 coeff: -4,51673203695392
+22.02.2019 15:28:49	Push/Pop (1, 2002) C_0*cos(X_0)*tan(X_2) coeff: 0,00101633061185406
+22.02.2019 15:28:49	Push/Pop (2, 2002) C_0*X_1*X_4*( C_1 + C_2 ) coeff: 0,00245825978320221 1,00000000301547 1,00000000301547
+22.02.2019 15:28:51	Push/Pop (0, 2002) C_0*(sin(X_4))^6 coeff: -3,46909946060853
+22.02.2019 15:28:51	Push/Pop (1, 2002) C_0*X_4*(sin(X_4))^5 coeff: 0,0111684054717048
+22.02.2019 15:28:51	Push/Pop (2, 2002) C_0*X_3*X_4*( C_1 + X_1 ) coeff: 1,67333003482255E-05 317,571511279564
+22.02.2019 15:28:54	Push/Pop (0, 2002) C_0*X_2*(X_0)^2 coeff: -7,22176672218295E-05
+22.02.2019 15:28:54	Push/Pop (1, 2002) C_0*X_4*(cos(X_0))^3 coeff: -0,00257732651931841
+22.02.2019 15:28:54	Push/Pop (2, 2002) C_0*X_3*X_4*( C_1 + C_2 ) coeff: 0,00267260879256262 1,00000000356428 1,00000000356428
+22.02.2019 15:28:55	Push/Pop (0, 2002) C_0*X_3*tan(X_4) coeff: 0,00496759491692628
+22.02.2019 15:28:55	Push/Pop (1, 2002) C_0*X_0*X_4*sin(X_0) coeff: -0,000252309795386591
+22.02.2019 15:28:55	Push/Pop (2, 2002) C_0*X_1*X_4*(cos(X_3))^2 coeff: 0,00675283837537489
+22.02.2019 15:28:56	Push/Pop (0, 2002) C_0*X_2*sin(X_4) coeff: -0,114099796014496
+22.02.2019 15:28:56	Push/Pop (1, 2002) C_0*X_2*X_4*sin(X_3) coeff: -5,49139945512512E-05
+22.02.2019 15:28:56	Push/Pop (2, 2002) C_0*X_1*X_4*(cos(X_0))^2 coeff: 0,00667172202071912
+22.02.2019 15:28:57	Push/Pop (0, 2002) C_0*X_1*tan(X_0) coeff: 0,00516535569690741
+22.02.2019 15:28:57	Push/Pop (1, 2002) C_0*X_0*(sin(X_2))^3 coeff: -0,0193030590778318
+22.02.2019 15:28:57	Push/Pop (2, 2002) C_0*tan(C_1*(X_1)^2) coeff: -2,97478246794573 -2,38542847049018
+22.02.2019 15:29:00	Push/Pop (0, 2002) C_0*(sin(X_4))^7 coeff: -5,43203463084642
+22.02.2019 15:29:00	Push/Pop (1, 2002) C_0*X_4*(sin(X_4))^6 coeff: 0,0285425386731774
+22.02.2019 15:29:00	Push/Pop (2, 2002) C_0*X_1*X_4*(cos(X_1))^2 coeff: 0,00660205378047717
+22.02.2019 15:29:02	Push/Pop (0, 2002) C_0*(sin(X_4))^8 coeff: -4,3525062138418
+22.02.2019 15:29:02	Push/Pop (1, 2002) C_0*X_4*(sin(X_4))^7 coeff: 0,00922869571432653
+22.02.2019 15:29:02	Push/Pop (2, 2002) C_0*X_3*X_4*(cos(X_2))^2 coeff: 0,0069153172606942
+22.02.2019 15:29:04	Push/Pop (0, 2002) C_0*X_1*(X_0)^2 coeff: 7,37475294321679E-05
+22.02.2019 15:29:04	Push/Pop (1, 2002) C_0*X_4*(sin(X_4))^8 coeff: 0,0303022178546655
+22.02.2019 15:29:04	Push/Pop (2, 2002) C_0*X_3*X_4*(cos(X_1))^2 coeff: 0,00682151187655389
+22.02.2019 15:29:05	Push/Pop (0, 2002) C_0*(sin(X_4))^9 coeff: -6,15443333300312
+22.02.2019 15:29:05	Push/Pop (1, 2002) C_0*X_4*(sin(X_4))^9 coeff: 0,00940791727827722
+22.02.2019 15:29:05	Push/Pop (2, 2002) C_0*X_3*X_4*(cos(X_0))^2 coeff: 0,00730183067955436
