computes a least square problem to get an approximation
Syntax
SO3F = SO3FunHarmonic.approximation(SO3Grid, f)
SO3F = SO3FunHarmonic.approximation(SO3Grid, f,'constantWeights')
SO3F = SO3FunHarmonic.approximation(SO3Grid, f, 'bandwidth', bandwidth, 'tol', TOL, 'maxit', MAXIT, 'weights', W)Input
| SO3Grid | rotational grid |
| f | function values on the grid (maybe multidimensional) |
Options
| constantWeights | uses constant normalized weights (for example if the nodes are constructed by equispacedSO3Grid) |
| bandwidth | maximum degree of the Wigner-D functions used to approximate the function |
| tol | tolerance for lsqr |
| maxit | maximum number of iterations for lsqr |
| weights | weight w_n for the nodes (default: Voronoi weights) |