#region License Information /* HeuristicLab * Copyright (C) 2002-2016 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.Common; using HeuristicLab.Core; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Problems.SurrogateProblem { [StorableClass] [Item("EuclidianNorm", "A norm function that uses Euclidean distance")] public class EuclidianDistance : DistanceBase> { #region HLConstructors [StorableConstructor] protected EuclidianDistance(bool deserializing) : base(deserializing) { } protected EuclidianDistance(EuclidianDistance original, Cloner cloner) : base(original, cloner) { } public EuclidianDistance() { } public override IDeepCloneable Clone(Cloner cloner) { return new EuclidianDistance(this, cloner); } #endregion #region statics public static double GetDistance(IReadOnlyList point1, IReadOnlyList point2) { if (point1.Count != point2.Count) throw new ArgumentException("Euclidean distance not defined on vectors of different length"); return Math.Sqrt(point1.Zip(point2, (a1, b1) => (a1 - b1) * (a1 - b1)).Sum()); } public static double GetDistance(IEnumerable a, IEnumerable b, double threshold) { double sum = 0; var it1 = a.GetEnumerator(); var it2 = b.GetEnumerator(); while (sum > threshold * threshold && it1.MoveNext() && it2.MoveNext()) { var d = it1.Current - it2.Current; sum += d * d; } it1.Dispose(); it2.Dispose(); return sum; } #endregion public override double Get(IReadOnlyList a, IReadOnlyList b) { return GetDistance(a, b); } public override double Get(IReadOnlyList a, IReadOnlyList b, double threshold) { return GetDistance(a, b, threshold); } } }