`scipy.linalg._flapack:sgees`

Summary

Compute the Schur factorization of a general matrix (LAPACK sgees).

sselect : callable: Eigenvalue selector, called as sselect(wr, wi) with the real and imaginary parts. Used only when sort_t is nonzero; return true to move that eigenvalue to the leading block.
a : ndarray: Square matrix of shape (n, n).
compute_v : int, optional: If nonzero, the Schur vectors are computed. Default is 1.
sort_t : int, optional: If nonzero, eigenvalues are sorted using the selector. Default is 0.
lwork : int, optional: Size of the workspace. Default is 3 * n. Use the value reported in work[0] for the optimal value.
sselect_extra_args : tuple, optional: Extra positional arguments appended to every selector call. Default is ().
overwrite_a : int, optional: If nonzero, a may be overwritten in place. Default is 0.

t : ndarray: Schur form of a.
sdim : int: Number of eigenvalues the selector accepted; 0 when sort_t is 0.
wr : ndarray: Real parts of the eigenvalues.
wi : ndarray: Imaginary parts of the eigenvalues; conjugate pairs appear adjacently.
vs : ndarray: Schur vectors, or a (1, n) placeholder when compute_v is 0.
work : ndarray: Workspace actually used; work[0] is the optimal lwork.
info : int: 0 on success; if negative, the -info-th argument had an illegal value; if positive, the QR algorithm failed or the selected block could not be reordered.