pyacs.glinalg.solve.ls module

pyacs.glinalg.solve.ls.ls(G, d, verbose=False)

Solve the least-squares problem min (Gm-d).T (Gm-d).

Parameters:

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

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

• verbose (bool, optional) – Verbose mode.

Returns:

Solution m (1D, length n). chi2 available from lstsq internally.

Return type:

ndarray

Notes

Solved via numpy.linalg.lstsq.