scipy.linalg.lapack.cgels#

scipy.linalg.lapack.cgels(a, b, trans='N', lwork=..., overwrite_a=0, overwrite_b=0) = <flapack function cgels>#

Solve an overdetermined or underdetermined system by QR or LQ factorization (LAPACK cgels).

Parameters:

andarray: Matrix of shape (m, n).
bndarray: Right-hand side(s) with max(m, n) rows.
transstr, optional: 'N' for the system as given, 'C' for its conjugate transpose. Default is 'N'.
lworkint, optional: Size of the workspace. Default is min(m, n) + max(min(m, n), nrhs). Use gels_lwork for the optimal value.
overwrite_aint, optional: If nonzero, a may be overwritten in place. Default is 0.
overwrite_bint, optional: If nonzero, b may be overwritten in place. Default is 0.

Returns:

lqrndarray: The QR or LQ factorization of a, as LAPACK leaves it.
xndarray: Solution in the first n rows; the remaining rows hold the residual sum of squares for each column when m > n.
infoint: 0 on success; if negative, the -info-th argument had an illegal value; if positive, a is rank-deficient and no least-squares solution was computed.