solve_coefficients¶
- sofia_redux.toolkit.resampling.solve_coefficients(amat, beta)[source]¶
Find least squares solution of Ax=B and rank of A.
- Parameters:
- amatnumpy.ndarray (ncoeffs, ndata)
The coefficient array.
- betanumpy.ndarray (ncoeffs,) or (ncoeffs, N)
Dependent values. If 2-dimensional, the least-squares solution is calculated for each column.
- Returns:
- rank, xint, numpy.ndarray (min(M, N),)
The rank of
amat
and least-squares solution of x.