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source: stable/HeuristicLab.Problems.TestFunctions.MultiObjective/3.3/Utilities.cs @ 17097

Last change on this file since 17097 was 17097, checked in by mkommend, 5 years ago

#2520: Merged 16565 - 16579 into stable.

File size: 3.1 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2019 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
21using System;
22using System.Collections.Generic;
23using System.Linq;
24using HeuristicLab.Data;
25
26namespace HeuristicLab.Problems.TestFunctions.MultiObjective {
27  internal static class Utilities {
28    internal static double MinimumDistance(double[] point, IEnumerable<double[]> points) {
29      if (point == null) throw new ArgumentNullException("Point must not be null.");
30      if (points == null) throw new ArgumentNullException("Points must not be null.");
31      if (!points.Any()) throw new ArgumentException("Points must not be empty.");
32
33      double minDistance = double.MaxValue;
34      foreach (double[] r in points) {
35        if (r.Length != point.Length) throw new ArgumentException("Dimensions of Points and Point do not match.");
36
37        double squaredDistance = 0;
38        for (int i = 0; i < r.Length; i++) {
39          squaredDistance += (point[i] - r[i]) * (point[i] - r[i]);
40        }
41        minDistance = Math.Min(squaredDistance, minDistance);
42      }
43
44      return Math.Sqrt(minDistance);
45    }
46
47    internal static DoubleMatrix ToMatrix(IEnumerable<double[]> source) {
48      try {
49        int firstDimension = source.Count();
50        int secondDimension = source.GroupBy(row => row.Length).Single().Key; // throws InvalidOperationException if source is not rectangular
51
52        var result = new DoubleMatrix(firstDimension, secondDimension);
53        var enumarator = source.GetEnumerator();
54        for (int i = 0; i < firstDimension && enumarator.MoveNext(); ++i)
55          for (int j = 0; j < secondDimension; ++j)
56            result[i, j] = enumarator.Current[j];
57        return result;
58      }
59      catch (InvalidOperationException) {
60        throw new InvalidOperationException("The given jagged array is not rectangular.");
61      }
62    }
63
64    internal class DimensionComparer : IComparer<double[]> {
65      private readonly int dim;
66      private readonly int descending;
67
68      public DimensionComparer(int dimension, bool descending) {
69        this.dim = dimension;
70        this.descending = descending ? -1 : 1;
71      }
72
73      public int Compare(double[] x, double[] y) {
74        if (x[dim] < y[dim]) return -descending;
75        else if (x[dim] > y[dim]) return descending;
76        else return 0;
77      }
78    }
79  }
80}
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