/// <summary>
/// Create a cubic spline interpolation based on arbitrary points, with specified boundary conditions.
/// </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>
/// <param name="leftBoundaryCondition">Condition of the left boundary.</param>
/// <param name="leftBoundary">Left boundary value. Ignored in the parabolic case.</param>
/// <param name="rightBoundaryCondition">Condition of the right boundary.</param>
/// <param name="rightBoundary">Right boundary value. Ignored in the parabolic case.</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 IInterpolationMethod CreateCubicSpline(
IList<double> points,
IList<double> values,
SplineBoundaryCondition leftBoundaryCondition,
double leftBoundary,
SplineBoundaryCondition rightBoundaryCondition,
double rightBoundary
)
{
CubicSplineInterpolation method = new CubicSplineInterpolation();
method.Init(
points,
values,
leftBoundaryCondition,
leftBoundary,
rightBoundaryCondition,
rightBoundary
);
return method;
}
/// <summary>
/// Create a natural cubic spline interpolation based on arbitrary points.
/// Natural splines are cubic splines with zero second derivative at the boundaries (i.e. straigth lines).
/// </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 IInterpolationMethod CreateNaturalCubicSpline(
IList<double> points,
IList<double> values
)
{
CubicSplineInterpolation method = new CubicSplineInterpolation();
method.Init(
points,
values
);
return method;
}