scipy.linalg.lapack.ssyev#
- scipy.linalg.lapack.ssyev(a, compute_v=1, lower=0, lwork=..., overwrite_a=0) = <flapack function ssyev>#
Compute the eigenvalues and optionally the eigenvectors of a real symmetric matrix (LAPACK
ssyev).- Parameters:
- andarray
Symmetric matrix of shape
(n, n).- compute_vint, optional
If nonzero, eigenvectors are computed as well as eigenvalues. Default is 1.
- lowerint, optional
If nonzero, the lower triangle of a is referenced; otherwise the upper. Default is 0.
- lworkint, optional
Size of the workspace. Default is
max(3 * n - 1, 1). Usessyev_lworkfor the optimal value.- overwrite_aint, optional
If nonzero, a may be overwritten in place. Default is 0.
- Returns:
- wndarray
Eigenvalues in ascending order, length
n. Real for every flavor.- vndarray
Orthonormal eigenvectors as columns when compute_v is nonzero; otherwise the contents are not meaningful.
- infoint
0 on success; if negative, the
-info-th argument had an illegal value; if positive, the algorithm failed to converge.