#region License Information
/* HeuristicLab
* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
*
* This file is part of HeuristicLab.
*
* HeuristicLab 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 3 of the License, or
* (at your option) any later version.
*
* HeuristicLab 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.
*
* You should have received a copy of the GNU General Public License
* along with HeuristicLab. If not, see .
*/
#endregion
using System;
using System.Collections.Generic;
using System.Linq;
using HeuristicLab.Core;
using HeuristicLab.Data;
namespace HeuristicLab.Algorithms.DataAnalysis {
internal static class Util {
public static double ScalarProd(IEnumerable v, IEnumerable u) {
return v.Zip(u, (vi, ui) => vi * ui).Sum();
}
public static double SqrDist(IEnumerable x, IEnumerable y) {
return x.Zip(y, (a, b) => (a - b) * (a - b)).Sum();
}
public static double SqrDist(double x, double y) {
double d = x - y;
return d * d;
}
public static double SqrDist(double[,] x, int i, int j, double scale = 1.0) {
return SqrDist(x, i, x, j, scale);
}
public static double SqrDist(double[,] x, int i, double[,] xt, int j, double scale = 1.0) {
double ss = 0.0;
for (int k = 0; k < x.GetLength(1); k++) {
double d = x[i, k] - xt[j, k];
ss += d * d;
}
return scale * scale * ss;
}
public static double SqrDist(double[,] x, int i, int j, double[] scale) {
return SqrDist(x, i, x, j, scale);
}
public static double SqrDist(double[,] x, int i, double[,] xt, int j, double[] scale) {
double ss = 0.0;
for (int k = 0; k < x.GetLength(1); k++) {
double d = x[i, k] - xt[j, k];
ss += d * d * scale[k] * scale[k];
}
return ss;
}
public static double ScalarProd(double[,] x, int i, int j, double scale = 1.0) {
return ScalarProd(x, i, x, j, scale);
}
public static double ScalarProd(double[,] x, int i, double[,] xt, int j, double scale = 1.0) {
double sum = 0.0;
for (int k = 0; k < x.GetLength(1); k++) {
sum += x[i, k] * xt[j, k];
}
return scale * scale * sum;
}
public static double ScalarProd(double[,] x, int i, int j, double[] scale) {
return ScalarProd(x, i, x, j, scale);
}
public static double ScalarProd(double[,] x, int i, double[,] xt, int j, double[] scale) {
double sum = 0.0;
for (int k = 0; k < x.GetLength(1); k++) {
sum += x[i, k] * scale[k] * xt[j, k] * scale[k];
}
return sum;
}
public static IEnumerable GetRow(double[,] x, int r) {
int cols = x.GetLength(1);
return Enumerable.Range(0, cols).Select(c => x[r, c]);
}
public static IEnumerable GetCol(double[,] x, int c) {
int rows = x.GetLength(0);
return Enumerable.Range(0, rows).Select(r => x[r, c]);
}
public static void AttachValueChangeHandler(IValueParameter parameter, Action action)
where T : ValueTypeValue
where U : struct {
parameter.ValueChanged += (sender, args) => {
if (parameter.Value != null) {
parameter.Value.ValueChanged += (s, a) => action();
action();
}
};
if (parameter.Value != null) {
parameter.Value.ValueChanged += (s, a) => action();
}
}
public static void AttachArrayChangeHandler(IValueParameter parameter, Action action)
where T : ValueTypeArray
where U : struct {
parameter.ValueChanged += (sender, args) => {
if (parameter.Value != null) {
parameter.Value.ItemChanged += (s, a) => action();
parameter.Value.Reset += (s, a) => action();
action();
}
};
if (parameter.Value != null) {
parameter.Value.ItemChanged += (s, a) => action();
parameter.Value.Reset += (s, a) => action();
}
}
}
}