Rbf2DInterpolator
Constructs a two-dimensional Radial Basis Function (RBF) interpolator using provided input points, their corresponding values, a smoothing factor, and a radial basis function (RBF) kernel.
The interpolator computes a weight matrix derived from the RBF kernel and the supplied data. The resulting interpolator can be used to estimate the values at new locations in a 2D space.
Return
An instance of Rbf2DInterpolator configured with the computed weight matrix and input data.
Parameters
A list of 2D points representing the input data locations.
A 2D array of known function values corresponding to the input points. Each row corresponds to a point, and each column corresponds to a value in a specific dimension.
A non-negative smoothing factor to reduce interpolation sensitivity. Default is 0.0. Larger values result in smoother interpolations.
The radial basis function used for interpolation. This function takes a squared distance as input and returns a scalar value representing the influence of points at that distance.