#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(); } } } }