/// <summary>
/// Create a burlish stoer rational interpolation based on arbitrary points.
/// </summary>
/// <param name="points">The sample points t. Supports both lists and arrays.</param>
/// <param name="values">The sample point values x(t). Supports both lists and arrays.</param>
/// <returns>
/// An interpolation scheme optimized for the given sample points and values,
/// which can then be used to compute interpolations and extrapolations
/// on arbitrary points.
/// </returns>
public static IInterpolation RationalWithPoles(
IList <double> points,
IList <double> values)
{
BulirschStoerRationalInterpolation method = new BulirschStoerRationalInterpolation();
method.Initialize(points, values);
return(method);
}
public void FitsAtSamplePoints()
{
IInterpolation interpolation = new BulirschStoerRationalInterpolation(_t, _x);
for (int i = 0; i < _x.Length; i++)
{
Assert.AreEqual(_x[i], interpolation.Interpolate(_t[i]), "A Exact Point " + i);
}
}
/// <summary>
/// Create a burlish stoer rational interpolation based on arbitrary points.
/// </summary>
/// <param name="points">The sample points t. Supports both lists and arrays.</param>
/// <param name="values">The sample point values x(t). Supports both lists and arrays.</param>
/// <returns>
/// An interpolation scheme optimized for the given sample points and values,
/// which can then be used to compute interpolations and extrapolations
/// on arbitrary points.
/// </returns>
public static IInterpolation RationalWithPoles(
IList<double> points,
IList<double> values)
{
BulirschStoerRationalInterpolation method = new BulirschStoerRationalInterpolation();
method.Initialize(points, values);
return method;
}
public void FitsAtArbitraryPointsWithMaple(double t, double x, double maxAbsoluteError)
{
IInterpolation interpolation = new BulirschStoerRationalInterpolation(_t, _x);
Assert.AreEqual(x, interpolation.Interpolate(t), maxAbsoluteError, "Interpolation at {0}", t);
}
