GaussianInterpolation

public sealed class GaussianInterpolation : IInterpolation

Non-coincident interpolation using a bunch of samples weighted by distance. This interpolation scheme is used in the Gradient class.

Constructors

public GaussianInterpolation(double[] x, double[] y)

Create a new gaussian interpolator.

Parameters:

x (double[])	X values of crests.
y (double[])	Y values of crests.

public GaussianInterpolation(double[] x, double[] yLeft, double[] yRight)

Create a new gaussian interpolator.

Parameters:

x (double[])	X values of crests.
yLeft (double[])	Y values to the left of crests.
yRight (double[])	Y values to the right of crests.

public bool SupportsDifferentiation { get; }

Gets a value indicating whether the algorithm supports differentiation (interpolated derivative).

public bool SupportsIntegration { get; }

Gets a value indicating whether the algorithm supports integration (interpolated quadrature).

public double Interpolate(double t)

Interpolate at point t.

Parameters:

Point t to interpolate at.

Returns: Interpolated value x(t).

Explicit

double IInterpolation.Differentiate(double t)

Parameters:

Explicit

double IInterpolation.Differentiate2(double t)

Parameters:

Explicit

double IInterpolation.Integrate(double a, double b)

Parameters:

a (double)
b (double)

Explicit

double IInterpolation.Integrate(double t)

Parameters: