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source: branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Algorithms.MOCMAEvolutionStrategy/3.3/DoubleMatrixHelper.cs @ 17540

Last change on this file since 17540 was 15583, checked in by swagner, 7 years ago

#2640: Updated year of copyrights in license headers

File size: 1.7 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 * and the BEACON Center for the Study of Evolution in Action.
5 *
6 * This file is part of HeuristicLab.
7 *
8 * HeuristicLab is free software: you can redistribute it and/or modify
9 * it under the terms of the GNU General Public License as published by
10 * the Free Software Foundation, either version 3 of the License, or
11 * (at your option) any later version.
12 *
13 * HeuristicLab is distributed in the hope that it will be useful,
14 * but WITHOUT ANY WARRANTY; without even the implied warranty of
15 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
16 * GNU General Public License for more details.
17 *
18 * You should have received a copy of the GNU General Public License
19 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
20 */
21#endregion
22
23using System.Collections.Generic;
24using System.Linq;
25using HeuristicLab.Data;
26
27namespace HeuristicLab.Algorithms.MOCMAEvolutionStrategy {
28  internal static class DoubleMatrixHelper {
29    internal static double[][] ToJaggedArray(this DoubleMatrix m) {
30      if (m == null) return null;
31      var i = m.Rows - 1;
32      var a = new double[i][];
33      for (i--; i >= 0; i--) {
34        var j = m.Columns;
35        a[i] = new double[j];
36        for (j--; j >= 0; j--) a[i][j] = m[i, j];
37      }
38      return a;
39    }
40
41    internal static DoubleMatrix ToMatrix(this IEnumerable<IReadOnlyList<double>> data) {
42      var d2 = data.ToArray();
43      var mat = new DoubleMatrix(d2.Length, d2[0].Count);
44      for (var i = 0; i < mat.Rows; i++)
45        for (var j = 0; j < mat.Columns; j++)
46          mat[i, j] = d2[i][j];
47      return mat;
48    }
49  }
50}
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