Symmetrical eigenvalue routines for NumPy
DescriptionA Python wrapper for the LAPACK functions to solve the standard and generalized eigenvalue problems for symmetric (hermitian) positive definite matrices. Those specialized algorithms give an important speed-up with respect to the generic LAPACK eigenvalue problem solver used by NumPy (linalg.eig and linalg.eigh). This is dummy transitional package -- please use scipy's scipy.linalg.eigh for symeig functionality.
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