pyacs.glinalg.solve.lsw module

pyacs.glinalg.solve.lsw.lsw(G, d, std)

Solve least-squares with data uncertainties given as a vector.

Parameters:

• G (ndarray) – m x n model matrix (2D).

• d (ndarray) – m observation vector (1D).

• std (ndarray) – Standard deviation vector for d (length m).

Returns:

Solution from ordinary LS on G<- (G.T/std).T, d<- d/std.

Return type:

ndarray

Notes

System is weighted by 1/std and solved via ls.