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) |
Options
| bandwidth | maximum degree of the spherical harmonics used to approximate the function |
| to | tolerance for lsqm |
| maxIt | maximum number of iterations for lsqm |
| weights | weight w_n for the node nodes (default: Voronoi weights) |