#region License Information /* HeuristicLab * Copyright (C) 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 HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Parameters; using HEAL.Attic; namespace HeuristicLab.Algorithms.DataAnalysis { [StorableType("4D79FB1C-94CD-4450-8CD0-F9594A5F03FE")] // conditionally positive definite. (need to add polynomials) see http://num.math.uni-goettingen.de/schaback/teaching/sc.pdf [Item("ThinPlatePolysplineKernel", "A kernel function that uses the ThinPlatePolyspline function (||x-c||/Beta)^(Degree)*log(||x-c||/Beta) as described in \"Thin-Plate Spline Radial Basis Function Scheme for Advection-Diffusion Problems\" with beta as a scaling parameter.")] public class ThinPlatePolysplineKernel : KernelBase { private const string DegreeParameterName = "Degree"; public IFixedValueParameter DegreeParameter { get { return (IFixedValueParameter)Parameters[DegreeParameterName]; } } public DoubleValue Degree { get { return DegreeParameter.Value; } } [StorableConstructor] protected ThinPlatePolysplineKernel(StorableConstructorFlag _) : base(_) { } protected ThinPlatePolysplineKernel(ThinPlatePolysplineKernel original, Cloner cloner) : base(original, cloner) { } public ThinPlatePolysplineKernel() { Parameters.Add(new FixedValueParameter(DegreeParameterName, "The degree of the kernel. Needs to be greater than zero.", new DoubleValue(2.0))); } public override IDeepCloneable Clone(Cloner cloner) { return new ThinPlatePolysplineKernel(this, cloner); } protected override double Get(double norm) { if (Beta == null) throw new InvalidOperationException("Can not calculate kernel distance while Beta is null"); var beta = Beta.Value; if (Math.Abs(beta) < double.Epsilon) return double.NaN; var d = norm / beta; if (Math.Abs(d) < double.Epsilon) return 0; return Math.Pow(d, Degree.Value) * Math.Log(d); } // (Degree/beta) * (norm/beta)^Degree * log(norm/beta) protected override double GetGradient(double norm) { if (Beta == null) throw new InvalidOperationException("Can not calculate kernel distance gradient while Beta is null"); var beta = Beta.Value; if (Math.Abs(beta) < double.Epsilon) return double.NaN; var d = norm / beta; if (Math.Abs(d) < double.Epsilon) return 0; return Degree.Value / beta * Math.Pow(d, Degree.Value) * Math.Log(d); } } }