public void FitsAtSamplePoints()
{
IInterpolation interpolation = new NevillePolynomialInterpolation(_t, _x);
for (int i = 0; i < _x.Length; i++)
{
Assert.AreEqual(_x[i], interpolation.Interpolate(_t[i]), "A Exact Point " + i);
}
}
public void FitsAtArbitraryPointsWithMaple(double t, double x, double maxAbsoluteError)
{
IInterpolation interpolation = new NevillePolynomialInterpolation(_t, _x);
Assert.AreEqual(x, interpolation.Interpolate(t), maxAbsoluteError, "Interpolation at {0}", t);
}
public void Constructor_SamplePointsNotUnique_Throws()
{
var x = new[] { -1.0, 0.0, 1.5, 1.5, 2.5, 4.0 };
var y = new[] { 1.0, 0.3, -0.7, -0.6, -0.1, 0.4 };
var interpolation = new NevillePolynomialInterpolation(x, y);
}
public void Interpolate_LogLogAttenuationData_InterpolationShouldNotYieldNaN(
[Values(0.0025, 0.035, 0.45, 5.5, 18.5, 35.0)] double value)
{
var data = Data.ReadAllLines(@"Github-Cureos-1.csv")
.Select(line =>
{
var vals = line.Split(new[] { ',' }, StringSplitOptions.RemoveEmptyEntries);
return new Tuple<string, string>(vals[2], vals[3]);
}).ToArray();
var x = data.Select(tuple => Double.Parse(tuple.Item1, CultureInfo.InvariantCulture)).ToArray();
var y = data.Select(tuple => Double.Parse(tuple.Item2, CultureInfo.InvariantCulture)).ToArray();
IInterpolation interpolation = new NevillePolynomialInterpolation(x, y);
var actual = interpolation.Interpolate(Math.Log(value));
Assert.That(actual, Is.Not.NaN);
}
public void SupportsLinearCase(int samples)
{
double[] x, y, xtest, ytest;
LinearInterpolationCase.Build(out x, out y, out xtest, out ytest, samples);
IInterpolation interpolation = new NevillePolynomialInterpolation(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);
}
}
