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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). WWW: http://mdp-toolkit.sourceforge.net/symeig.html PR: ports/127336 Submitted by: Li-Lun Wang <llwang at infor.org>
8 lines
396 B
Plaintext
8 lines
396 B
Plaintext
The symeig module contains a Python wrapper for the LAPACK functions to
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solve the standard and generalized eigenvalue problems for symmetric
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(hermitian) positive definite matrices. Those specialized algorithms give
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an important speed-up with respect to the generic LAPACK eigenvalue
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problem solver used by NumPy (linalg.eig and linalg.eigh).
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WWW: http://mdp-toolkit.sourceforge.net/symeig.html
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