`scipy.linalg._flapack:zgglse`

Summary

Solve an equality-constrained least squares problem (LAPACK zgglse).

Minimizes norm(c - a @ x) subject to b @ x == d.

a : ndarray: Least squares matrix, shape (m, n).
b : ndarray: Constraint matrix, shape (p, n) with n - m <= p <= n.
c : ndarray: Least squares right-hand side, length m.
d : ndarray: Constraint right-hand side, length p; empty when there are no constraints.
lwork : int, optional: Workspace size; -1 requests the query. Default is m + n + p.
overwrite_a : int, optional: If nonzero, a may be overwritten in place. Default is 0.
overwrite_b : int, optional: If nonzero, b may be overwritten in place. Default is 0.
overwrite_c : int, optional: If nonzero, c may be overwritten in place. Default is 0.
overwrite_d : int, optional: If nonzero, d may be overwritten in place. Default is 0.

t : ndarray: The generalized RQ factorization left in a.
r : ndarray: The triangular factor left in b.
res : ndarray: The residual information left in c.
x : ndarray: The solution, length n.
info : int: 0 on success; if negative, the -info-th argument had an illegal value.