_build_and_solve_system(y, d, smoothing, kernel, epsilon, powers)

Parameters

y : (P, N) float ndarray

Data point coordinates.

d : (P, S) float ndarray

Data values at y.

smoothing : (P,) float ndarray

Smoothing parameter for each data point.

kernel : str

Name of the RBF.

epsilon : float

Shape parameter.

powers : (R, N) int ndarray

The exponents for each monomial in the polynomial.

Returns

coeffs : (P + R, S) float ndarray

Coefficients for each RBF and monomial.

shift : (N,) float ndarray

Domain shift used to create the polynomial matrix.

scale : (N,) float ndarray

Domain scaling used to create the polynomial matrix.

Build and solve the RBF interpolation system of equations.

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them

---

GitHub : /scipy/interpolate/_rbfinterp.py#80
type: <class 'function'>
Commit: