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Symmetrical eigenvalue routines for NumPy


A 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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594 other people were interested in this package here. The newest known version of this software is 1.5-2 (Information last updated 1 day ago.)