numpy.linalg.eigvalsh#

linalg.eigvalsh(a, UPLO='L')[source]#

Compute the eigenvalues of a complex Hermitian or real symmetric matrix.

Main difference from eigh: the eigenvectors are not computed.

Parameters:

a(…, M, M) array_like: A complex- or real-valued matrix whose eigenvalues are to be computed.
UPLO{‘L’, ‘U’}, optional: Specifies whether the calculation is done with the lower triangular part of a (‘L’, default) or the upper triangular part (‘U’). Irrespective of this value only the real parts of the diagonal will be considered in the computation to preserve the notion of a Hermitian matrix. It therefore follows that the imaginary part of the diagonal will always be treated as zero.

Returns:

w(…, M,) ndarray: The eigenvalues in ascending order, each repeated according to its multiplicity.

Raises: