e705ceace4
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
|
|
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
|