/// <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); }