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source: branches/GP-MoveOperators/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/Util.cs @ 9562

Last change on this file since 9562 was 8612, checked in by gkronber, 12 years ago

#1902 implemented all mean and covariance functions with parameters as ParameterizedNamedItems

File size: 4.4 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using System;
23using System.Collections.Generic;
24using System.Linq;
25using HeuristicLab.Core;
26using HeuristicLab.Data;
27
28namespace HeuristicLab.Algorithms.DataAnalysis {
29  internal static class Util {
30    public static double ScalarProd(IEnumerable<double> v, IEnumerable<double> u) {
31      return v.Zip(u, (vi, ui) => vi * ui).Sum();
32    }
33
34    public static double SqrDist(IEnumerable<double> x, IEnumerable<double> y) {
35      return x.Zip(y, (a, b) => (a - b) * (a - b)).Sum();
36    }
37
38    public static double SqrDist(double x, double y) {
39      double d = x - y;
40      return d * d;
41    }
42
43    public static double SqrDist(double[,] x, int i, int j, double scale = 1.0) {
44      return SqrDist(x, i, x, j, scale);
45    }
46
47    public static double SqrDist(double[,] x, int i, double[,] xt, int j, double scale = 1.0) {
48      double ss = 0.0;
49      for (int k = 0; k < x.GetLength(1); k++) {
50        double d = x[i, k] - xt[j, k];
51        ss += d * d;
52      }
53      return scale * scale * ss;
54    }
55
56    public static double SqrDist(double[,] x, int i, int j, double[] scale) {
57      return SqrDist(x, i, x, j, scale);
58    }
59
60    public static double SqrDist(double[,] x, int i, double[,] xt, int j, double[] scale) {
61      double ss = 0.0;
62      for (int k = 0; k < x.GetLength(1); k++) {
63        double d = x[i, k] - xt[j, k];
64        ss += d * d * scale[k] * scale[k];
65      }
66      return ss;
67    }
68    public static double ScalarProd(double[,] x, int i, int j, double scale = 1.0) {
69      return ScalarProd(x, i, x, j, scale);
70    }
71
72    public static double ScalarProd(double[,] x, int i, double[,] xt, int j, double scale = 1.0) {
73      double sum = 0.0;
74      for (int k = 0; k < x.GetLength(1); k++) {
75        sum += x[i, k] * xt[j, k];
76      }
77      return scale * scale * sum;
78    }
79    public static double ScalarProd(double[,] x, int i, int j, double[] scale) {
80      return ScalarProd(x, i, x, j, scale);
81    }
82
83    public static double ScalarProd(double[,] x, int i, double[,] xt, int j, double[] scale) {
84      double sum = 0.0;
85      for (int k = 0; k < x.GetLength(1); k++) {
86        sum += x[i, k] * scale[k] * xt[j, k] * scale[k];
87      }
88      return sum;
89    }
90
91    public static IEnumerable<double> GetRow(double[,] x, int r) {
92      int cols = x.GetLength(1);
93      return Enumerable.Range(0, cols).Select(c => x[r, c]);
94    }
95    public static IEnumerable<double> GetCol(double[,] x, int c) {
96      int rows = x.GetLength(0);
97      return Enumerable.Range(0, rows).Select(r => x[r, c]);
98    }
99
100
101    public static void AttachValueChangeHandler<T, U>(IValueParameter<T> parameter, Action action)
102      where T : ValueTypeValue<U>
103      where U : struct {
104      parameter.ValueChanged += (sender, args) => {
105        if (parameter.Value != null) {
106          parameter.Value.ValueChanged += (s, a) => action();
107          action();
108        }
109      };
110      if (parameter.Value != null) {
111        parameter.Value.ValueChanged += (s, a) => action();
112      }
113    }
114
115    public static void AttachArrayChangeHandler<T, U>(IValueParameter<T> parameter, Action action)
116      where T : ValueTypeArray<U>
117      where U : struct {
118      parameter.ValueChanged += (sender, args) => {
119        if (parameter.Value != null) {
120          parameter.Value.ItemChanged += (s, a) => action();
121          parameter.Value.Reset += (s, a) => action();
122          action();
123        }
124      };
125      if (parameter.Value != null) {
126        parameter.Value.ItemChanged += (s, a) => action();
127        parameter.Value.Reset += (s, a) => action();
128      }
129    }
130  }
131}
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