Metadata-Version: 1.0
Name: symeig
Version: 1.4
Summary: 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.
Home-page: http://mdp-toolkit.sourceforge.net/symeig.html
Author: Pietro Berkes and Tiziano Zito
Author-email: berkes@gatsby.ucl.ac.uk, tiziano.zito@bccn-berlin.de
License: http://www.gnu.org/licenses/lgpl.html
Download-URL: http://sourceforge.net/project/showfiles.php?group_id=116959
Description: 
        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).
        
        The wrapper function symeig automatically selects the appropriate LAPACK
        routine. It is also possible to request only a subset of all eigenvalues, which
        consumes less memory and results sometimes in an additional speed-up,
        especially for large matrices.
        
        Update for SciPy  0.5.2: some of the routines used in symeig are now included
        in SciPy as well. They are available under scipy.lib.lapack.flapack and can be
        accessed with the function scipy.lib.lapack.get_lapack_funcs. Some of them are
        still missing, though. symeig uses its own wrappers and offers a unified
        interface to all the relevant LAPACK routines.
Platform: Any
