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source: trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/LbfgsMakeStep.cs @ 8396

Last change on this file since 8396 was 8396, checked in by gkronber, 12 years ago

#1902 implemented LM-BFGS algorithm and improved GPR

File size: 3.7 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.Linq;
23using HeuristicLab.Common;
24using HeuristicLab.Core;
25using HeuristicLab.Data;
26using HeuristicLab.Encodings.RealVectorEncoding;
27using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
28using HeuristicLab.Operators;
29using HeuristicLab.Parameters;
30using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
31using HeuristicLab.Problems.DataAnalysis;
32
33namespace HeuristicLab.Algorithms.DataAnalysis {
34  [StorableClass]
35  [Item(Name = "LBFGS MakeStep", Description = "Makes a step in the LM-BFGS optimization algorithm.")]
36  public sealed class LbfgsMakeStep : SingleSuccessorOperator {
37    private const string TerminationCriterionParameterName = "TerminationCriterion";
38    private const string PointParameterName = "Point";
39    private const string StateParameterName = "State";
40
41    #region Parameter Properties
42    public ILookupParameter<LbfgsState> StateParameter {
43      get { return (ILookupParameter<LbfgsState>)Parameters[StateParameterName]; }
44    }
45    public ILookupParameter<BoolValue> TerminationCriterionParameter {
46      get { return (ILookupParameter<BoolValue>)Parameters[TerminationCriterionParameterName]; }
47    }
48    public ILookupParameter<RealVector> PointParameter {
49      get { return (ILookupParameter<RealVector>)Parameters[PointParameterName]; }
50    }
51    #endregion
52
53
54    #region Properties
55    private LbfgsState State { get { return StateParameter.ActualValue; } }
56    #endregion
57
58    [StorableConstructor]
59    private LbfgsMakeStep(bool deserializing) : base(deserializing) { }
60    private LbfgsMakeStep(LbfgsMakeStep original, Cloner cloner) : base(original, cloner) { }
61    public LbfgsMakeStep()
62      : base() {
63      // in & out
64      Parameters.Add(new LookupParameter<LbfgsState>(StateParameterName, "The state of the LM-BFGS algorithm."));
65      // out
66      Parameters.Add(new LookupParameter<BoolValue>(TerminationCriterionParameterName, "The termination criterion indicating that the LM-BFGS optimization algorithm should stop."));
67      Parameters.Add(new LookupParameter<RealVector>(PointParameterName, "The next point that should be evaluated in the LM-BFGS algorithm."));
68    }
69
70    public override IDeepCloneable Clone(Cloner cloner) {
71      return new LbfgsMakeStep(this, cloner);
72    }
73
74    public override IOperation Apply() {
75      var state = State;
76      bool @continue = alglib.minlbfgs.minlbfgsiteration(state.State);
77      TerminationCriterionParameter.ActualValue = new BoolValue(!@continue);
78      if (@continue) {
79        PointParameter.ActualValue = new RealVector(state.State.x);
80      } else {
81        double[] x = new double[state.State.x.Length];
82        alglib.minlbfgs.minlbfgsreport rep = new alglib.minlbfgs.minlbfgsreport();
83        alglib.minlbfgs.minlbfgsresults(state.State, ref x, rep);
84        PointParameter.ActualValue = new RealVector(x);
85      }
86      return base.Apply();
87    }
88  }
89}
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