return the eigenvalues of a Hessian (symmetric)
The following docs are from numpy.linalg.eigvalsh
Compute the eigenvalues of a Hermitian or real symmetric matrix.
Main difference from eigh: the eigenvectors are not computed.
Parameters : | a : array_like, shape (M, M)
UPLO : {‘L’, ‘U’}, optional
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Returns : | w : ndarray, shape (M,)
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Raises : | LinAlgError
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