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Unit Tests: Interpolation II

la-knuth
Christoph Ruegg 16 years ago
parent
commit
a7a94551bd
  1. 91
      src/UnitTests/InterpolationTests/EquidistantPolynomialTest.cs
  2. 5
      src/UnitTests/InterpolationTests/NevillePolynomialTest.cs
  3. 3
      src/UnitTests/UnitTests.csproj

91
src/UnitTests/InterpolationTests/EquidistantPolynomialTest.cs

@ -0,0 +1,91 @@
// <copyright file="EquidistantPolynomialTest.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) 2002-2011 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>
namespace MathNet.Numerics.UnitTests.InterpolationTests
{
using Interpolation;
using Interpolation.Algorithms;
using NUnit.Framework;
[TestFixture]
public class EquidistantPolynomialTest
{
const double _tmin = 0.0, _tmax = 4.0;
readonly double[] _x = new[] { 0.0, 3.0, 2.5, 1.0, 3.0 };
/// <summary>
/// Verifies that the interpolation matches the given value at all the provided sample points.
/// </summary>
[Test]
public void FitsAtSamplePoints()
{
IInterpolation interpolation = new EquidistantPolynomialInterpolation(_tmin, _tmax, _x);
for (int i = 0; i < _x.Length; i++)
{
Assert.AreEqual(_x[i], interpolation.Interpolate(i), "A Exact Point " + i);
}
}
/// <summary>
/// Verifies that at points other than the provided sample points, the interpolation matches the one computed by Maple as a reference.
/// </summary>
/// <remarks>
/// Maple:
/// with(CurveFitting);
/// evalf(subs({x=0.1},PolynomialInterpolation([[0,0],[1,3],[2,2.5],[3,1],[4,3]], x)),20);
/// </remarks>
[Test, Sequential]
public void FitsAtArbitraryPointsWithMaple(
[Values(0.1, 0.4, 1.1, 3.2, 4.5, 10.0, -10.0)] double t,
[Values(.487425, 1.6968, 3.081925, .9408, 7.265625, 592.5, 657.5)] double x,
[Values(1e-15, 1e-15, 1e-15, 1e-15, 1e-14, 1e-10, 1e-9)] double maxAbsoluteError)
{
IInterpolation interpolation = new EquidistantPolynomialInterpolation(_tmin, _tmax, _x);
Assert.AreEqual(x, interpolation.Interpolate(t), maxAbsoluteError, "Interpolation at {0}", t);
}
/// <summary>
/// Verifies that the interpolation supports the linear case appropriately
/// </summary>
[Test]
public void SupportsLinearCase([Values(2, 4, 12)] int samples)
{
double[] x, y, xtest, ytest;
LinearInterpolationCase.Build(out x, out y, out xtest, out ytest, samples);
IInterpolation interpolation = new EquidistantPolynomialInterpolation(x, y);
for (int i = 0; i < xtest.Length; i++)
{
Assert.AreEqual(ytest[i], interpolation.Interpolate(xtest[i]), 1e-12, "Linear with {0} samples, sample {1}", samples, i);
}
}
}
}

5
src/UnitTests/InterpolationTests/NevillePolynomialTest.cs

@ -1,4 +1,4 @@
// <copyright file="InterpolationTest.cs" company="Math.NET">
// <copyright file="NevillePolynomialTest.cs" company="Math.NET">
// Math.NET Numerics, part of the Math.NET Project
// http://numerics.mathdotnet.com
// http://github.com/mathnet/mathnet-numerics
@ -48,9 +48,8 @@ namespace MathNet.Numerics.UnitTests.InterpolationTests
{
IInterpolation interpolation = new NevillePolynomialInterpolation(_t, _x);
for (int i = 0; i < _t.Length; i++)
for (int i = 0; i < _x.Length; i++)
{
// verify the interpolated values exactly at the sample points.
Assert.AreEqual(_x[i], interpolation.Interpolate(_t[i]), "A Exact Point " + i);
double interpolatedValue;

3
src/UnitTests/UnitTests.csproj

@ -113,7 +113,8 @@
<Compile Include="IntegralTransformsTests\MatchingNaiveTransformTest.cs" />
<Compile Include="IntegralTransformsTests\ParsevalTheoremTest.cs" />
<Compile Include="IntegrationTests\IntegrationTest.cs" />
<Compile Include="InterpolationTests\InterpolationTest.cs" />
<Compile Include="InterpolationTests\EquidistantPolynomialTest.cs" />
<Compile Include="InterpolationTests\NevillePolynomialTest.cs" />
<Compile Include="InterpolationTests\LinearInterpolationCase.cs" />
<Compile Include="LinearAlgebraProviderTests\Double\LinearAlgebraProviderTests.cs">
<SubType>Code</SubType>

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