./wip/py-symeig, Symmetrical eigenvalue routines for NumPy

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Branch: CURRENT, Version: 1.5nb1, Package name: py312-symeig-1.5nb1, Maintainer: jihbed.research

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).


Required to run:
[math/lapack] [math/py-numpy] [lang/gcc7]

Required to build:
[pkgtools/cwrappers]

Master sites:

RMD160: 8d723b9655573e043a703539617f387e659cd6cd
Filesize: 15.801 KB

Version history: (Expand)

CVS history: (Expand)


   2012-11-12 17:26:41 by othyro | Files touched by this commit (56) 
Log message:
MASTER_SITES -> MASTER_SITE_SOURCEFORGE; part 2/4. Let me know if this
breaks anything. Minor formatting and HOMEPAGE fixes in some files.
   2012-10-07 15:57:25 by Aleksej Saushev | Files touched by this commit (211) 
Log message:
Drop superfluous PKG_DESTDIR_SUPPORT, "user-destdir" is default these days.
Mark packages that don't or might probably not have staged installation.
   2012-04-08 21:09:41 by Thomas Klausner | Files touched by this commit (127) 
Log message:
Remove python24 and all traces of it from pkgsrc.
Remove devel/py-ctypes (only needed by and supporting python24).
Remove PYTHON_VERSIONS_ACCEPTED and PYTHON_VERSIONS_INCOMPATIBLE
lines that just mirror defaults now.
Miscellaneous cleanup while editing all these files.
   2012-01-30 09:15:58 by ndb | Files touched by this commit (1) 
Log message:
added fortran dependency.
   2011-02-25 10:47:47 by Thomas Klausner | Files touched by this commit (76) 
Log message:
Let's assume for now that everything that worked with python-2.6 also
works with python-2.7.
   2010-07-17 15:44:57 by Kamel Derouiche | Files touched by this commit (4) | Imported package
Log message:
Import py26-symeig-1.5 as wip/py-symeig.

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).