//
// Math.NET Numerics, part of the Math.NET Project
// http://mathnet.opensourcedotnet.info
//
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namespace MathNet.Numerics.Interpolation.Algorithms
{
using System;
using System.Collections.Generic;
using Properties;
///
/// Cubic Spline Interpolation Algorithm with continuous first and second derivatives.
///
///
/// This algorithm supports both differentiation and integration.
///
public class CubicSplineInterpolation : IInterpolation
{
///
/// Internal Spline Interpolation
///
private readonly CubicHermiteSplineInterpolation _spline;
///
/// Initializes a new instance of the CubicSplineInterpolation class.
///
public CubicSplineInterpolation()
{
_spline = new CubicHermiteSplineInterpolation();
}
///
/// Initializes a new instance of the CubicSplineInterpolation class.
///
/// Sample Points t, sorted ascending.
/// Sample Values x(t)
public CubicSplineInterpolation(
IList samplePoints,
IList sampleValues)
{
_spline = new CubicHermiteSplineInterpolation();
Initialize(
samplePoints,
sampleValues);
}
///
/// Initializes a new instance of the CubicSplineInterpolation class.
///
/// Sample Points t, sorted ascending.
/// Sample Values x(t)
/// Condition of the left boundary.
/// Left boundary value. Ignored in the parabolic case.
/// Condition of the right boundary.
/// Right boundary value. Ignored in the parabolic case.
public CubicSplineInterpolation(
IList samplePoints,
IList sampleValues,
SplineBoundaryCondition leftBoundaryCondition,
double leftBoundary,
SplineBoundaryCondition rightBoundaryCondition,
double rightBoundary)
{
_spline = new CubicHermiteSplineInterpolation();
Initialize(
samplePoints,
sampleValues,
leftBoundaryCondition,
leftBoundary,
rightBoundaryCondition,
rightBoundary);
}
///
/// Gets a value indicating whether the algorithm supports differentiation (interpolated derivative).
///
///
///
bool IInterpolation.SupportsDifferentiation
{
get { return true; }
}
///
/// Gets a value indicating whether the algorithm supports integration (interpolated quadrature).
///
///
bool IInterpolation.SupportsIntegration
{
get { return true; }
}
///
/// Initialize the interpolation method with the given spline coefficients (sorted by the sample points t).
///
/// Sample Points t, sorted ascending.
/// Sample Values x(t)
public void Initialize(
IList samplePoints,
IList sampleValues)
{
double[] derivatives = EvaluateSplineDerivatives(
samplePoints,
sampleValues,
SplineBoundaryCondition.SecondDerivative,
0.0,
SplineBoundaryCondition.SecondDerivative,
0.0);
_spline.Initialize(samplePoints, sampleValues, derivatives);
}
///
/// Initialize the interpolation method with the given spline coefficients (sorted by the sample points t).
///
/// Sample Points t, sorted ascending.
/// Sample Values x(t)
/// Condition of the left boundary.
/// Left boundary value. Ignored in the parabolic case.
/// Condition of the right boundary.
/// Right boundary value. Ignored in the parabolic case.
public void Initialize(
IList samplePoints,
IList sampleValues,
SplineBoundaryCondition leftBoundaryCondition,
double leftBoundary,
SplineBoundaryCondition rightBoundaryCondition,
double rightBoundary)
{
double[] derivatives = EvaluateSplineDerivatives(
samplePoints,
sampleValues,
leftBoundaryCondition,
leftBoundary,
rightBoundaryCondition,
rightBoundary);
_spline.Initialize(samplePoints, sampleValues, derivatives);
}
///
/// Evaluate the spline derivatives as used
/// internally by this interpolation algorithm.
///
/// Sample Points t, sorted ascending.
/// Sample Values x(t)
/// Condition of the left boundary.
/// Left boundary value. Ignored in the parabolic case.
/// Condition of the right boundary.
/// Right boundary value. Ignored in the parabolic case.
/// Spline Derivative Vector
public static double[] EvaluateSplineDerivatives(
IList samplePoints,
IList sampleValues,
SplineBoundaryCondition leftBoundaryCondition,
double leftBoundary,
SplineBoundaryCondition rightBoundaryCondition,
double rightBoundary)
{
if (null == samplePoints)
{
throw new ArgumentNullException("samplePoints");
}
if (null == sampleValues)
{
throw new ArgumentNullException("sampleValues");
}
if (samplePoints.Count < 2)
{
throw new ArgumentOutOfRangeException("samplePoints");
}
if (samplePoints.Count != sampleValues.Count)
{
throw new ArgumentException(Resources.ArgumentVectorsSameLength);
}
int n = samplePoints.Count;
// normalize special cases
if ((n == 2)
&& (leftBoundaryCondition == SplineBoundaryCondition.ParabolicallyTerminated)
&& (rightBoundaryCondition == SplineBoundaryCondition.ParabolicallyTerminated))
{
leftBoundaryCondition = SplineBoundaryCondition.SecondDerivative;
leftBoundary = 0d;
rightBoundaryCondition = SplineBoundaryCondition.SecondDerivative;
rightBoundary = 0d;
}
if (leftBoundaryCondition == SplineBoundaryCondition.Natural)
{
leftBoundaryCondition = SplineBoundaryCondition.SecondDerivative;
leftBoundary = 0d;
}
if (rightBoundaryCondition == SplineBoundaryCondition.Natural)
{
rightBoundaryCondition = SplineBoundaryCondition.SecondDerivative;
rightBoundary = 0d;
}
double[] a1 = new double[n];
double[] a2 = new double[n];
double[] a3 = new double[n];
double[] b = new double[n];
// Left Boundary
switch (leftBoundaryCondition)
{
case SplineBoundaryCondition.ParabolicallyTerminated:
a1[0] = 0;
a2[0] = 1;
a3[0] = 1;
b[0] = 2 * (sampleValues[1] - sampleValues[0]) / (samplePoints[1] - samplePoints[0]);
break;
case SplineBoundaryCondition.FirstDerivative:
a1[0] = 0;
a2[0] = 1;
a3[0] = 0;
b[0] = leftBoundary;
break;
case SplineBoundaryCondition.SecondDerivative:
a1[0] = 0;
a2[0] = 2;
a3[0] = 1;
b[0] = (3 * ((sampleValues[1] - sampleValues[0]) / (samplePoints[1] - samplePoints[0]))) - (0.5 * leftBoundary * (samplePoints[1] - samplePoints[0]));
break;
default:
throw new NotSupportedException(Resources.InvalidLeftBoundaryCondition);
}
// Central Conditions
for (int i = 1; i < samplePoints.Count - 1; i++)
{
a1[i] = samplePoints[i + 1] - samplePoints[i];
a2[i] = 2 * (samplePoints[i + 1] - samplePoints[i - 1]);
a3[i] = samplePoints[i] - samplePoints[i - 1];
b[i] = (3 * (sampleValues[i] - sampleValues[i - 1]) / (samplePoints[i] - samplePoints[i - 1]) * (samplePoints[i + 1] - samplePoints[i])) + (3 * (sampleValues[i + 1] - sampleValues[i]) / (samplePoints[i + 1] - samplePoints[i]) * (samplePoints[i] - samplePoints[i - 1]));
}
// Right Boundary
switch (rightBoundaryCondition)
{
case SplineBoundaryCondition.ParabolicallyTerminated:
a1[n - 1] = 1;
a2[n - 1] = 1;
a3[n - 1] = 0;
b[n - 1] = 2 * (sampleValues[n - 1] - sampleValues[n - 2]) / (samplePoints[n - 1] - samplePoints[n - 2]);
break;
case SplineBoundaryCondition.FirstDerivative:
a1[n - 1] = 0;
a2[n - 1] = 1;
a3[n - 1] = 0;
b[n - 1] = rightBoundary;
break;
case SplineBoundaryCondition.SecondDerivative:
a1[n - 1] = 1;
a2[n - 1] = 2;
a3[n - 1] = 0;
b[n - 1] = (3 * (sampleValues[n - 1] - sampleValues[n - 2]) / (samplePoints[n - 1] - samplePoints[n - 2])) + (0.5 * rightBoundary * (samplePoints[n - 1] - samplePoints[n - 2]));
break;
default:
throw new NotSupportedException(Resources.InvalidRightBoundaryCondition);
}
// Build Spline
return SolveTridiagonal(a1, a2, a3, b);
}
///
/// Evaluate the spline coefficients as used
/// internally by this interpolation algorithm.
///
/// Sample Points t, sorted ascending.
/// Sample Values x(t)
/// Condition of the left boundary.
/// Left boundary value. Ignored in the parabolic case.
/// Condition of the right boundary.
/// Right boundary value. Ignored in the parabolic case.
/// Spline Coefficient Vector
public static double[] EvaluateSplineCoefficients(
IList samplePoints,
IList sampleValues,
SplineBoundaryCondition leftBoundaryCondition,
double leftBoundary,
SplineBoundaryCondition rightBoundaryCondition,
double rightBoundary)
{
double[] derivatives = EvaluateSplineDerivatives(
samplePoints,
sampleValues,
leftBoundaryCondition,
leftBoundary,
rightBoundaryCondition,
rightBoundary);
return CubicHermiteSplineInterpolation.EvaluateSplineCoefficients(
samplePoints,
sampleValues,
derivatives);
}
///
/// Tridiagonal Solve Helper.
///
/// The a-vector[n].
/// The b-vector[n], will be modified by this function.
/// The c-vector[n].
/// The d-vector[n], will be modified by this function.
/// The x-vector[n]
private static double[] SolveTridiagonal(
double[] a,
double[] b,
double[] c,
double[] d)
{
double[] x = new double[a.Length];
for (int k = 1; k < a.Length; k++)
{
double t = a[k] / b[k - 1];
b[k] = b[k] - (t * c[k - 1]);
d[k] = d[k] - (t * d[k - 1]);
}
x[x.Length - 1] = d[d.Length - 1] / b[b.Length - 1];
for (int k = x.Length - 2; k >= 0; k--)
{
x[k] = (d[k] - (c[k] * x[k + 1])) / b[k];
}
return x;
}
///
/// Interpolate at point t.
///
/// Point t to interpolate at.
/// Interpolated value x(t).
public double Interpolate(double t)
{
return _spline.Interpolate(t);
}
///
/// Differentiate at point t.
///
/// Point t to interpolate at.
/// Interpolated first derivative at point t.
///
///
public double Differentiate(double t)
{
return _spline.Differentiate(t);
}
///
/// Differentiate at point t.
///
/// Point t to interpolate at.
/// Interpolated value x(t)
/// Interpolated second derivative at point t.
/// Interpolated first derivative at point t.
///
///
public double Differentiate(
double t,
out double interpolatedValue,
out double secondDerivative)
{
return _spline.Differentiate(t, out interpolatedValue, out secondDerivative);
}
///
/// Integrate up to point t.
///
/// Right bound of the integration interval [a,t].
/// Interpolated definite integral over the interval [a,t].
///
public double Integrate(double t)
{
return _spline.Integrate(t);
}
}
}