// // Math.NET Numerics, part of the Math.NET Project // http://numerics.mathdotnet.com // http://github.com/mathnet/mathnet-numerics // // Copyright (c) 2009-2017 Math.NET // // Permission is hereby granted, free of charge, to any person // obtaining a copy of this software and associated documentation // files (the "Software"), to deal in the Software without // restriction, including without limitation the rights to use, // copy, modify, merge, publish, distribute, sublicense, and/or sell // copies of the Software, and to permit persons to whom the // Software is furnished to do so, subject to the following // conditions: // // The above copyright notice and this permission notice shall be // included in all copies or substantial portions of the Software. // // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, // EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES // OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND // NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT // HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, // WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING // FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR // OTHER DEALINGS IN THE SOFTWARE. // using System; namespace IStation.Numerics.Optimization { public class GoldenSectionMinimizer { public double XTolerance { get; set; } public int MaximumIterations { get; set; } public int MaximumExpansionSteps { get; set; } public double LowerExpansionFactor { get; set; } public double UpperExpansionFactor { get; set; } public GoldenSectionMinimizer(double xTolerance=1e-5, int maxIterations=1000, int maxExpansionSteps=10, double lowerExpansionFactor=2.0, double upperExpansionFactor=2.0) { XTolerance = xTolerance; MaximumIterations = maxIterations; MaximumExpansionSteps = maxExpansionSteps; LowerExpansionFactor = lowerExpansionFactor; UpperExpansionFactor = upperExpansionFactor; } public ScalarMinimizationResult FindMinimum(IScalarObjectiveFunction objective, double lowerBound, double upperBound) { return Minimum(objective, lowerBound, upperBound, XTolerance, MaximumIterations, MaximumExpansionSteps, LowerExpansionFactor, UpperExpansionFactor); } public static ScalarMinimizationResult Minimum(IScalarObjectiveFunction objective, double lowerBound, double upperBound, double xTolerance=1e-5, int maxIterations=1000, int maxExpansionSteps=10, double lowerExpansionFactor=2.0, double upperExpansionFactor=2.0) { if (upperBound <= lowerBound) { throw new OptimizationException("Lower bound must be lower than upper bound."); } double middlePointX = lowerBound + (upperBound - lowerBound)/(1 + Constants.GoldenRatio); IScalarObjectiveFunctionEvaluation lower = objective.Evaluate(lowerBound); IScalarObjectiveFunctionEvaluation middle = objective.Evaluate(middlePointX); IScalarObjectiveFunctionEvaluation upper = objective.Evaluate(upperBound); ValueChecker(lower.Value, lowerBound); ValueChecker(middle.Value, middlePointX); ValueChecker(upper.Value, upperBound); int expansion_steps = 0; while ((expansion_steps < maxExpansionSteps) && (upper.Value < middle.Value || lower.Value < middle.Value)) { if (lower.Value < middle.Value) { lowerBound = 0.5*(upperBound + lowerBound) - lowerExpansionFactor*0.5*(upperBound - lowerBound); lower = objective.Evaluate(lowerBound); } if (upper.Value < middle.Value) { upperBound = 0.5*(upperBound + lowerBound) + upperExpansionFactor*0.5*(upperBound - lowerBound); upper = objective.Evaluate(upperBound); } middlePointX = lowerBound + (upperBound - lowerBound)/(1 + Constants.GoldenRatio); middle = objective.Evaluate(middlePointX); expansion_steps += 1; } if (upper.Value < middle.Value || lower.Value < middle.Value) { throw new OptimizationException("Lower and upper bounds do not necessarily bound a minimum."); } int iterations = 0; while (Math.Abs(upper.Point - lower.Point) > xTolerance && iterations < maxIterations) { // Recompute middle point on each iteration to avoid loss of precision middlePointX = lower.Point + (upper.Point - lower.Point)/(1 + Constants.GoldenRatio); middle = objective.Evaluate(middlePointX); ValueChecker(middle.Value, middlePointX); double testX = lower.Point + (upper.Point - middle.Point); var test = objective.Evaluate(testX); ValueChecker(test.Value, testX); if (test.Point < middle.Point) { if (test.Value > middle.Value) { lower = test; } else { upper = middle; } } else { if (test.Value > middle.Value) { upper = test; } else { lower = middle; } } iterations += 1; } if (iterations == maxIterations) { throw new MaximumIterationsException("Max iterations reached."); } return new ScalarMinimizationResult(middle, iterations, ExitCondition.BoundTolerance); } static void ValueChecker(double value, double point) { if (Double.IsNaN(value) || Double.IsInfinity(value)) { throw new Exception("Objective function returned non-finite value."); } } } }