The symeig module contains 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).
5 lines
239 B
Text
5 lines
239 B
Text
$NetBSD: distinfo,v 1.1.1.1 2010/07/17 13:44:57 jihbed Exp $
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SHA1 (symeig-1.5.tar.gz) = c0d28bee551c16494bd90d0a7e2b31a17cb80b78
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RMD160 (symeig-1.5.tar.gz) = 8d723b9655573e043a703539617f387e659cd6cd
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Size (symeig-1.5.tar.gz) = 16180 bytes
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