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API and test mock ups

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rfellers 6 years ago
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  1. 60
      src/Numerics.Tests/OptimizationTests/BrentMinimizerTests.cs
  2. 69
      src/Numerics/Optimization/BrentMinimizer.cs

60
src/Numerics.Tests/OptimizationTests/BrentMinimizerTests.cs

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// <copyright file="BrentMinimizerTests.cs" company="Math.NET">
// 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.
// </copyright>
using System;
using MathNet.Numerics.Optimization;
using NUnit.Framework;
namespace MathNet.Numerics.UnitTests.OptimizationTests
{
[TestFixture]
public class BrentMinimizerTests
{
[Test]
public void Test_Works()
{
var f1 = new Func<double, double>(x => (x - 3) * (x - 3));
var obj = ObjectiveFunction.ScalarValue(f1);
var r1 = BrentMinimizer.Minimum(obj, -100, 100);
Assert.That(Math.Abs(r1.MinimizingPoint - 3.0), Is.LessThan(1e-4));
}
[Test]
public void Test_ExpansionWorks()
{
var algorithm = new BrentMinimizer(1e-5, 1000);
var f1 = new Func<double, double>(x => (x - 3) * (x - 3));
var obj = ObjectiveFunction.ScalarValue(f1);
var r1 = algorithm.FindMinimum(obj, -5, 5);
Assert.That(Math.Abs(r1.MinimizingPoint - 3.0), Is.LessThan(1e-4));
}
}
}

69
src/Numerics/Optimization/BrentMinimizer.cs

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// <copyright file="GoldenSectionMinimizer.cs" company="Math.NET">
// 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.
// </copyright>
using System;
namespace MathNet.Numerics.Optimization
{
public class BrentMinimizer
{
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 BrentMinimizer(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)
{
return null;
}
static void ValueChecker(double value, double point)
{
if (Double.IsNaN(value) || Double.IsInfinity(value))
{
throw new Exception("Objective function returned non-finite value.");
}
}
}
}
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