approximation

computes a least square problem to get an approximation

Syntax

sF = S2FunHarmonic.approximation(S2Grid, f)
sF = S2FunHarmonic.approximation(S2Grid, f, 'bandwidth', bandwidth, 'tol', TOL, 'maxit', MAXIT, 'weights', W)

Input

S2Grid

grid on the sphere

f

function values on the grid (may be multidimensional)

param,val

Parameters and values that control approximation

Parameter	Description
`'bandwidth'`	maximum degree of the spherical harmonics used to approximate the function
`'to'`	tolerance for lsqm
`'maxIt'`	maximum number of iterations for lsqm
`'W'`	weight w_n for the node nodes (default: voronoi weights)