Browse Source

RootFinding: add pure newton-raphson (in addition to existing robust one)

v2
Christoph Ruegg 13 years ago
parent
commit
c5c1cb9654
  1. 1
      src/Numerics/Numerics.csproj
  2. 3
      src/Numerics/RootFinding/Bisection.cs
  3. 12
      src/Numerics/RootFinding/Brent.cs
  4. 94
      src/Numerics/RootFinding/NewtonRaphson.cs
  5. 6
      src/Numerics/RootFinding/RobustNewtonRaphson.cs
  6. 68
      src/UnitTests/RootFindingTests/NewtonRaphsonTest.cs
  7. 127
      src/UnitTests/RootFindingTests/RobustNewtonRaphsonTest.cs
  8. 1
      src/UnitTests/UnitTests.csproj

1
src/Numerics/Numerics.csproj

@ -111,6 +111,7 @@
<Compile Include="LinearAlgebra\Generic\Matrix.BCL.cs" />
<Compile Include="LinearAlgebra\Generic\Vector.BCL.cs" />
<Compile Include="NonConvergenceException.cs" />
<Compile Include="RootFinding\NewtonRaphson.cs" />
<Compile Include="RootFinding\RobustNewtonRaphson.cs" />
<Compile Include="RootFinding\ZeroCrossingBracketing.cs" />
<Compile Include="RootFinding\Brent.cs" />

3
src/Numerics/RootFinding/Bisection.cs

@ -33,6 +33,9 @@ using MathNet.Numerics.Properties;
namespace MathNet.Numerics.RootFinding
{
/// <summary>
/// Bisection root-finding algorithm.
/// </summary>
public static class Bisection
{
/// <summary>Find a solution of the equation f(x)=0.</summary>

12
src/Numerics/RootFinding/Brent.cs

@ -32,6 +32,10 @@ using System;
namespace MathNet.Numerics.RootFinding
{
/// <summary>
/// Algorithm by by Brent, Van Wijngaarden, Dekker et al.
/// Implementation inspired by Press, Teukolsky, Vetterling, and Flannery, "Numerical Recipes in C", 2nd edition, Cambridge University Press
/// </summary>
public static class Brent
{
/// <summary>Find a solution of the equation f(x)=0.</summary>
@ -41,10 +45,6 @@ namespace MathNet.Numerics.RootFinding
/// <param name="accuracy">Desired accuracy. The root will be refined until the accuracy or the maximum number of iterations is reached.</param>
/// <param name="maxIterations">Maximum number of iterations. Usually 100.</param>
/// <returns>Returns the root with the specified accuracy.</returns>
/// <remarks>
/// Algorithm by by Brent, Van Wijngaarden, Dekker et al.
/// Implementation inspired by Press, Teukolsky, Vetterling, and Flannery, "Numerical Recipes in C", 2nd edition, Cambridge University Press
/// </remarks>
/// <exception cref="NonConvergenceException"></exception>
public static double FindRoot(Func<double, double> f, double lowerBound, double upperBound, double accuracy, int maxIterations)
{
@ -64,10 +64,6 @@ namespace MathNet.Numerics.RootFinding
/// <param name="maxIterations">Maximum number of iterations. Usually 100.</param>
/// <param name="root">The root that was found, if any. Undefined if the function returns false.</param>
/// <returns>True if a root with the specified accuracy was found, else false.</returns>
/// <remarks>
/// Algorithm by by Brent, Van Wijngaarden, Dekker et al.
/// Implementation inspired by Press, Teukolsky, Vetterling, and Flannery, "Numerical Recipes in C", 2nd edition, Cambridge University Press
/// </remarks>
public static bool TryFindRoot(Func<double, double> f, double lowerBound, double upperBound, double accuracy, int maxIterations, out double root)
{
double fmin = f(lowerBound);

94
src/Numerics/RootFinding/NewtonRaphson.cs

@ -0,0 +1,94 @@
// <copyright file="NewtonRaphson.cs" company="Math.NET">
// Math.NET Numerics, part of the Math.NET Project
// http://numerics.mathdotnet.com
// http://github.com/mathnet/mathnet-numerics
// http://mathnetnumerics.codeplex.com
//
// Copyright (c) 2009-2013 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.RootFinding
{
/// <summary>
/// Pure Newton-Raphson root-finding algorithm without any recovery measures in cases it behaves badly.
/// The algorithm aborts immediately if the root leaves the bound interval.
/// </summary>
/// <seealso cref="RobustNewtonRaphson"/>
public static class NewtonRaphson
{
/// <summary>Find a solution of the equation f(x)=0.</summary>
/// <param name="f">The function to find roots from.</param>
/// <param name="df">The first derivative of the function to find roots from.</param>
/// <param name="initialGuess">Initial guess of the root.</param>
/// <param name="lowerBound">The low value of the range where the root is supposed to be. Aborts if it leaves the interval.</param>
/// <param name="upperBound">The high value of the range where the root is supposed to be. Aborts if it leaves the interval.</param>
/// <param name="accuracy">Desired accuracy. The root will be refined until the accuracy or the maximum number of iterations is reached. Example: 1e-14.</param>
/// <param name="maxIterations">Maximum number of iterations. Example: 100.</param>
/// <returns>Returns the root with the specified accuracy.</returns>
/// <exception cref="NonConvergenceException"></exception>
public static double FindRoot(Func<double, double> f, Func<double, double> df, double initialGuess, double lowerBound, double upperBound, double accuracy, int maxIterations)
{
double root;
if (TryFindRoot(f, df, initialGuess, lowerBound, upperBound, accuracy, maxIterations, out root))
{
return root;
}
throw new NonConvergenceException("The algorithm failed or has exceeded the number of iterations allowed. Consider to use RobustNewtonRaphson instead.");
}
/// <summary>Find a solution of the equation f(x)=0.</summary>
/// <param name="f">The function to find roots from.</param>
/// <param name="df">The first derivative of the function to find roots from.</param>
/// <param name="initialGuess">Initial guess of the root.</param>
/// <param name="lowerBound">The low value of the range where the root is supposed to be. Aborts if it leaves the interval.</param>
/// <param name="upperBound">The high value of the range where the root is supposed to be. Aborts if it leaves the interval.</param>
/// <param name="accuracy">Desired accuracy. The root will be refined until the accuracy or the maximum number of iterations is reached. Example: 1e-14.</param>
/// <param name="maxIterations">Maximum number of iterations. Example: 100.</param>
/// <param name="root">The root that was found, if any. Undefined if the function returns false.</param>
/// <returns>True if a root with the specified accuracy was found, else false.</returns>
public static bool TryFindRoot(Func<double, double> f, Func<double, double> df, double initialGuess, double lowerBound, double upperBound, double accuracy, int maxIterations, out double root)
{
root = initialGuess;
for (int i = 0; i < maxIterations && root >= lowerBound && root <= upperBound; i++)
{
// Evaluation
double fx = f(root);
double dfx = df(root);
// Netwon-Raphson step
double step = fx/dfx;
root -= step;
if (Math.Abs(step) < accuracy && Math.Abs(fx) < accuracy)
{
return true;
}
}
return false;
}
}
}

6
src/Numerics/RootFinding/RobustNewtonRaphson.cs

@ -32,6 +32,10 @@ using System;
namespace MathNet.Numerics.RootFinding
{
/// <summary>
/// Robust Newton-Raphson root-finding algorithm that falls back to bisection when overshooting or converging too slow, or to subdivision on lacking bracketing.
/// </summary>
/// <seealso cref="NewtonRaphson"/>
public static class RobustNewtonRaphson
{
/// <summary>Find a solution of the equation f(x)=0.</summary>
@ -43,7 +47,6 @@ namespace MathNet.Numerics.RootFinding
/// <param name="maxIterations">Maximum number of iterations. Example: 100.</param>
/// <param name="subdivision">How many parts an interval should be split into for zero crossing scanning in case of lacking bracketing. Example: 20.</param>
/// <returns>Returns the root with the specified accuracy.</returns>
/// <remarks>Hybrid Newton-Raphson that falls back to bisection when overshooting or converging too slow, or to subdivision on lacking bracketing.</remarks>
/// <exception cref="NonConvergenceException"></exception>
public static double FindRoot(Func<double, double> f, Func<double, double> df, double lowerBound, double upperBound, double accuracy, int maxIterations, int subdivision)
{
@ -65,7 +68,6 @@ namespace MathNet.Numerics.RootFinding
/// <param name="subdivision">How many parts an interval should be split into for zero crossing scanning in case of lacking bracketing. Example: 20.</param>
/// <param name="root">The root that was found, if any. Undefined if the function returns false.</param>
/// <returns>True if a root with the specified accuracy was found, else false.</returns>
/// <remarks>Hybrid Newton-Raphson that falls back to bisection when overshooting or converging too slow, or to subdivision on lacking bracketing.</remarks>
public static bool TryFindRoot(Func<double, double> f, Func<double, double> df, double lowerBound, double upperBound, double accuracy, int maxIterations, int subdivision, out double root)
{
double fmin = f(lowerBound);

68
src/UnitTests/RootFindingTests/NewtonRaphsonTest.cs

@ -43,21 +43,21 @@ namespace MathNet.Numerics.UnitTests.RootFindingTests
// Roots at -2, 2
Func<double, double> f1 = x => x * x - 4;
Func<double, double> df1 = x => 2 * x;
Assert.AreEqual(0, f1(RobustNewtonRaphson.FindRoot(f1, df1, -5, 5, 1e-14, 100, 20)));
Assert.AreEqual(-2, RobustNewtonRaphson.FindRoot(f1, df1, -5, -1, 1e-14, 100, 20));
Assert.AreEqual(2, RobustNewtonRaphson.FindRoot(f1, df1, 1, 4, 1e-14, 100, 20));
Assert.AreEqual(0, f1(RobustNewtonRaphson.FindRoot(x => -f1(x), x => -df1(x), -5, 5, 1e-14, 100, 20)));
Assert.AreEqual(-2, RobustNewtonRaphson.FindRoot(x => -f1(x), x => -df1(x), -5, -1, 1e-14, 100, 20));
Assert.AreEqual(2, RobustNewtonRaphson.FindRoot(x => -f1(x), x => -df1(x), 1, 4, 1e-14, 100, 20));
Assert.AreEqual(0, f1(NewtonRaphson.FindRoot(f1, df1, 0.5, -5, 6, 1e-14, 100)));
Assert.AreEqual(-2, NewtonRaphson.FindRoot(f1, df1, -3.0, -5, -1, 1e-14, 100));
Assert.AreEqual(2, NewtonRaphson.FindRoot(f1, df1, 2.5, 1, 4, 1e-14, 100));
Assert.AreEqual(0, f1(NewtonRaphson.FindRoot(x => -f1(x), x => -df1(x), 0.6, -5, 6, 1e-14, 100)));
Assert.AreEqual(-2, NewtonRaphson.FindRoot(x => -f1(x), x => -df1(x), -3, -5, -1, 1e-14, 100));
Assert.AreEqual(2, NewtonRaphson.FindRoot(x => -f1(x), x => -df1(x), 2.5, 1, 4, 1e-14, 100));
// Roots at 3, 4
Func<double, double> f2 = x => (x - 3) * (x - 4);
Func<double, double> df2 = x => 2 * x - 7;
Assert.AreEqual(0, f2(RobustNewtonRaphson.FindRoot(f2, df2, -5, 5, 1e-14, 100, 20)));
Assert.AreEqual(3, RobustNewtonRaphson.FindRoot(f2, df2, -5, 3.5, 1e-14, 100, 20));
Assert.AreEqual(4, RobustNewtonRaphson.FindRoot(f2, df2, 3.2, 5, 1e-14, 100, 20));
Assert.AreEqual(3, RobustNewtonRaphson.FindRoot(f2, df2, 2.1, 3.9, 0.001, 50, 20), 0.001);
Assert.AreEqual(3, RobustNewtonRaphson.FindRoot(f2, df2, 2.1, 3.4, 0.001, 50, 20), 0.001);
Assert.AreEqual(0, f2(NewtonRaphson.FindRoot(f2, df2, 0.5, -5, 6, 1e-14, 100)));
Assert.AreEqual(3, NewtonRaphson.FindRoot(f2, df2, -0.75, -5, 3.5, 1e-14, 100));
Assert.AreEqual(4, NewtonRaphson.FindRoot(f2, df2, 4.1, 3.2, 5, 1e-14, 100));
Assert.AreEqual(3, NewtonRaphson.FindRoot(f2, df2, 3, 2.1, 3.9, 0.001, 50), 0.001);
Assert.AreEqual(3, NewtonRaphson.FindRoot(f2, df2, 2.75, 2.1, 3.4, 0.001, 50), 0.001);
}
[Test]
@ -65,38 +65,8 @@ namespace MathNet.Numerics.UnitTests.RootFindingTests
{
Func<double, double> f1 = x => x * x * x - 2 * x + 2;
Func<double, double> df1 = x => 3 * x * x - 2;
Assert.AreEqual(0, f1(RobustNewtonRaphson.FindRoot(f1, df1, -5, 5, 1e-14, 100, 20)));
Assert.AreEqual(0, f1(RobustNewtonRaphson.FindRoot(f1, df1, -2, 4, 1e-14, 100, 20)));
}
[Test]
public void Pole()
{
Func<double, double> f1 = x => 1/(x - 2) + 2;
Func<double, double> df1 = x => -1/(x*x - 4*x + 4);
Assert.AreEqual(1.5, RobustNewtonRaphson.FindRoot(f1, df1, 1, 2, 1e-14, 100, 20));
Assert.AreEqual(1.5, RobustNewtonRaphson.FindRoot(f1, df1, 1, 6, 1e-14, 100, 20));
Assert.AreEqual(1.5, FindRoots.OfFunctionAndDerivative(f1, df1, 1, 6));
Func<double, double> f2 = x => -1/(x - 2) + 2;
Func<double, double> df2 = x => 1/(x*x - 4*x + 4);
Assert.AreEqual(2.5, RobustNewtonRaphson.FindRoot(f2, df2, 2, 3, 1e-14, 100, 20));
Assert.AreEqual(2.5, RobustNewtonRaphson.FindRoot(f2, df2, -2, 3, 1e-14, 100, 20));
Assert.AreEqual(2.5, FindRoots.OfFunctionAndDerivative(f2, df2, -2, 3));
Func<double, double> f3 = x => 1/(x - 2) + x + 2;
Func<double, double> df3 = x => -1/(x*x - 4*x + 4) + 1;
Assert.AreEqual(-Math.Sqrt(3), RobustNewtonRaphson.FindRoot(f3, df3, -2, -1, 1e-14, 100, 20), 1e-14);
Assert.AreEqual(Math.Sqrt(3), RobustNewtonRaphson.FindRoot(f3, df3, 1, 1.99, 1e-14, 100, 20));
Assert.AreEqual(Math.Sqrt(3), RobustNewtonRaphson.FindRoot(f3, df3, -1.5, 1.99, 1e-14, 100, 20));
Assert.AreEqual(Math.Sqrt(3), RobustNewtonRaphson.FindRoot(f3, df3, 1, 6, 1e-14, 100, 20));
Func<double, double> f4 = x => 1/(2 - x) - x + 6;
Func<double, double> df4 = x => 1/(x*x - 4*x + 4) - 1;
Assert.AreEqual(4 + Math.Sqrt(3), RobustNewtonRaphson.FindRoot(f4, df4, 5, 6, 1e-14, 100, 20), 1e-14);
Assert.AreEqual(4 - Math.Sqrt(3), RobustNewtonRaphson.FindRoot(f4, df4, 2.01, 3, 1e-14, 100, 20));
Assert.AreEqual(4 - Math.Sqrt(3), RobustNewtonRaphson.FindRoot(f4, df4, 2.01, 5, 1e-14, 100, 20));
Assert.AreEqual(4 - Math.Sqrt(3), RobustNewtonRaphson.FindRoot(f4, df4, -2, 4, 1e-14, 100, 20));
Assert.AreEqual(0, f1(NewtonRaphson.FindRoot(f1, df1, 0.5, -5, 6, 1e-14, 100)));
//Assert.AreEqual(0, f1(NewtonRaphson.FindRoot(f1, df1, 1, -2, 4, 1e-14, 100)));
}
[Test]
@ -105,15 +75,15 @@ namespace MathNet.Numerics.UnitTests.RootFindingTests
// with complex roots (looking for the real root only): 3x^3 + 4x^2 + 5x + 6, derivative 9x^2 + 8x + 5
Func<double, double> f1 = x => Evaluate.Polynomial(x, 6, 5, 4, 3);
Func<double, double> df1 = x => Evaluate.Polynomial(x, 5, 8, 9);
Assert.AreEqual(-1.265328088928, RobustNewtonRaphson.FindRoot(f1, df1, -2, -1, 1e-10, 100, 20), 1e-6);
Assert.AreEqual(-1.265328088928, RobustNewtonRaphson.FindRoot(f1, df1, -5, 5, 1e-10, 100, 20), 1e-6);
Assert.AreEqual(-1.265328088928, NewtonRaphson.FindRoot(f1, df1, -1.5, -2, -1, 1e-10, 100), 1e-6);
Assert.AreEqual(-1.265328088928, NewtonRaphson.FindRoot(f1, df1, 0, -5, 5, 1e-10, 100), 1e-6);
// real roots only: 2x^3 + 4x^2 - 50x + 6, derivative 6x^2 + 8x - 50
Func<double, double> f2 = x => Evaluate.Polynomial(x, 6, -50, 4, 2);
Func<double, double> df2 = x => Evaluate.Polynomial(x, -50, 8, 6);
Assert.AreEqual(-6.1466562197069, RobustNewtonRaphson.FindRoot(f2, df2, -8, -5, 1e-10, 100, 20), 1e-6);
Assert.AreEqual(0.12124737195841, RobustNewtonRaphson.FindRoot(f2, df2, -1, 1, 1e-10, 100, 20), 1e-6);
Assert.AreEqual(4.0254088477485, RobustNewtonRaphson.FindRoot(f2, df2, 3, 5, 1e-10, 100, 20), 1e-6);
Assert.AreEqual(-6.1466562197069, NewtonRaphson.FindRoot(f2, df2, -6.5, -8, -5, 1e-10, 100), 1e-6);
Assert.AreEqual(0.12124737195841, NewtonRaphson.FindRoot(f2, df2, 0, -1, 1, 1e-10, 100), 1e-6);
Assert.AreEqual(4.0254088477485, NewtonRaphson.FindRoot(f2, df2, 4, 3, 5, 1e-10, 100), 1e-6);
}
[Test]
@ -121,7 +91,7 @@ namespace MathNet.Numerics.UnitTests.RootFindingTests
{
Func<double, double> f1 = x => x * x + 4;
Func<double, double> df1 = x => 2 * x;
Assert.Throws<NonConvergenceException>(() => RobustNewtonRaphson.FindRoot(f1, df1, -5, 5, 1e-14, 50, 20));
Assert.Throws<NonConvergenceException>(() => NewtonRaphson.FindRoot(f1, df1, 0, -5, 5, 1e-14, 50));
}
}
}

127
src/UnitTests/RootFindingTests/RobustNewtonRaphsonTest.cs

@ -0,0 +1,127 @@
// <copyright file="BrentTest.cs" company="Math.NET">
// Math.NET Numerics, part of the Math.NET Project
// http://numerics.mathdotnet.com
// http://github.com/mathnet/mathnet-numerics
// http://mathnetnumerics.codeplex.com
//
// Copyright (c) 2009-2013 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.RootFinding;
using NUnit.Framework;
namespace MathNet.Numerics.UnitTests.RootFindingTests
{
[TestFixture]
public class RobustNewtonRaphsonTest
{
[Test]
public void MultipleRoots()
{
// Roots at -2, 2
Func<double, double> f1 = x => x * x - 4;
Func<double, double> df1 = x => 2 * x;
Assert.AreEqual(0, f1(RobustNewtonRaphson.FindRoot(f1, df1, -5, 5, 1e-14, 100, 20)));
Assert.AreEqual(-2, RobustNewtonRaphson.FindRoot(f1, df1, -5, -1, 1e-14, 100, 20));
Assert.AreEqual(2, RobustNewtonRaphson.FindRoot(f1, df1, 1, 4, 1e-14, 100, 20));
Assert.AreEqual(0, f1(RobustNewtonRaphson.FindRoot(x => -f1(x), x => -df1(x), -5, 5, 1e-14, 100, 20)));
Assert.AreEqual(-2, RobustNewtonRaphson.FindRoot(x => -f1(x), x => -df1(x), -5, -1, 1e-14, 100, 20));
Assert.AreEqual(2, RobustNewtonRaphson.FindRoot(x => -f1(x), x => -df1(x), 1, 4, 1e-14, 100, 20));
// Roots at 3, 4
Func<double, double> f2 = x => (x - 3) * (x - 4);
Func<double, double> df2 = x => 2 * x - 7;
Assert.AreEqual(0, f2(RobustNewtonRaphson.FindRoot(f2, df2, -5, 5, 1e-14, 100, 20)));
Assert.AreEqual(3, RobustNewtonRaphson.FindRoot(f2, df2, -5, 3.5, 1e-14, 100, 20));
Assert.AreEqual(4, RobustNewtonRaphson.FindRoot(f2, df2, 3.2, 5, 1e-14, 100, 20));
Assert.AreEqual(3, RobustNewtonRaphson.FindRoot(f2, df2, 2.1, 3.9, 0.001, 50, 20), 0.001);
Assert.AreEqual(3, RobustNewtonRaphson.FindRoot(f2, df2, 2.1, 3.4, 0.001, 50, 20), 0.001);
}
[Test]
public void LocalMinima()
{
Func<double, double> f1 = x => x * x * x - 2 * x + 2;
Func<double, double> df1 = x => 3 * x * x - 2;
Assert.AreEqual(0, f1(RobustNewtonRaphson.FindRoot(f1, df1, -5, 5, 1e-14, 100, 20)));
Assert.AreEqual(0, f1(RobustNewtonRaphson.FindRoot(f1, df1, -2, 4, 1e-14, 100, 20)));
}
[Test]
public void Pole()
{
Func<double, double> f1 = x => 1/(x - 2) + 2;
Func<double, double> df1 = x => -1/(x*x - 4*x + 4);
Assert.AreEqual(1.5, RobustNewtonRaphson.FindRoot(f1, df1, 1, 2, 1e-14, 100, 20));
Assert.AreEqual(1.5, RobustNewtonRaphson.FindRoot(f1, df1, 1, 6, 1e-14, 100, 20));
Assert.AreEqual(1.5, FindRoots.OfFunctionAndDerivative(f1, df1, 1, 6));
Func<double, double> f2 = x => -1/(x - 2) + 2;
Func<double, double> df2 = x => 1/(x*x - 4*x + 4);
Assert.AreEqual(2.5, RobustNewtonRaphson.FindRoot(f2, df2, 2, 3, 1e-14, 100, 20));
Assert.AreEqual(2.5, RobustNewtonRaphson.FindRoot(f2, df2, -2, 3, 1e-14, 100, 20));
Assert.AreEqual(2.5, FindRoots.OfFunctionAndDerivative(f2, df2, -2, 3));
Func<double, double> f3 = x => 1/(x - 2) + x + 2;
Func<double, double> df3 = x => -1/(x*x - 4*x + 4) + 1;
Assert.AreEqual(-Math.Sqrt(3), RobustNewtonRaphson.FindRoot(f3, df3, -2, -1, 1e-14, 100, 20), 1e-14);
Assert.AreEqual(Math.Sqrt(3), RobustNewtonRaphson.FindRoot(f3, df3, 1, 1.99, 1e-14, 100, 20));
Assert.AreEqual(Math.Sqrt(3), RobustNewtonRaphson.FindRoot(f3, df3, -1.5, 1.99, 1e-14, 100, 20));
Assert.AreEqual(Math.Sqrt(3), RobustNewtonRaphson.FindRoot(f3, df3, 1, 6, 1e-14, 100, 20));
Func<double, double> f4 = x => 1/(2 - x) - x + 6;
Func<double, double> df4 = x => 1/(x*x - 4*x + 4) - 1;
Assert.AreEqual(4 + Math.Sqrt(3), RobustNewtonRaphson.FindRoot(f4, df4, 5, 6, 1e-14, 100, 20), 1e-14);
Assert.AreEqual(4 - Math.Sqrt(3), RobustNewtonRaphson.FindRoot(f4, df4, 2.01, 3, 1e-14, 100, 20));
Assert.AreEqual(4 - Math.Sqrt(3), RobustNewtonRaphson.FindRoot(f4, df4, 2.01, 5, 1e-14, 100, 20));
Assert.AreEqual(4 - Math.Sqrt(3), RobustNewtonRaphson.FindRoot(f4, df4, -2, 4, 1e-14, 100, 20));
}
[Test]
public void Cubic()
{
// with complex roots (looking for the real root only): 3x^3 + 4x^2 + 5x + 6, derivative 9x^2 + 8x + 5
Func<double, double> f1 = x => Evaluate.Polynomial(x, 6, 5, 4, 3);
Func<double, double> df1 = x => Evaluate.Polynomial(x, 5, 8, 9);
Assert.AreEqual(-1.265328088928, RobustNewtonRaphson.FindRoot(f1, df1, -2, -1, 1e-10, 100, 20), 1e-6);
Assert.AreEqual(-1.265328088928, RobustNewtonRaphson.FindRoot(f1, df1, -5, 5, 1e-10, 100, 20), 1e-6);
// real roots only: 2x^3 + 4x^2 - 50x + 6, derivative 6x^2 + 8x - 50
Func<double, double> f2 = x => Evaluate.Polynomial(x, 6, -50, 4, 2);
Func<double, double> df2 = x => Evaluate.Polynomial(x, -50, 8, 6);
Assert.AreEqual(-6.1466562197069, RobustNewtonRaphson.FindRoot(f2, df2, -8, -5, 1e-10, 100, 20), 1e-6);
Assert.AreEqual(0.12124737195841, RobustNewtonRaphson.FindRoot(f2, df2, -1, 1, 1e-10, 100, 20), 1e-6);
Assert.AreEqual(4.0254088477485, RobustNewtonRaphson.FindRoot(f2, df2, 3, 5, 1e-10, 100, 20), 1e-6);
}
[Test]
public void NoRoot()
{
Func<double, double> f1 = x => x * x + 4;
Func<double, double> df1 = x => 2 * x;
Assert.Throws<NonConvergenceException>(() => RobustNewtonRaphson.FindRoot(f1, df1, -5, 5, 1e-14, 50, 20));
}
}
}

1
src/UnitTests/UnitTests.csproj

@ -773,6 +773,7 @@
<Compile Include="Random\WH2006Tests.cs" />
<Compile Include="Random\XorshiftTests.cs" />
<Compile Include="RootFindingTests\BrentTest.cs" />
<Compile Include="RootFindingTests\RobustNewtonRaphsonTest.cs" />
<Compile Include="RootFindingTests\NewtonRaphsonTest.cs" />
<Compile Include="SortingTests.cs" />
<Compile Include="SpecialFunctionsTests\ModifiedStruveTests.cs" />

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