slackbuilds_ponce/perl/perl-Math-GSL-Linalg-SVD/slack-desc
Jan F. Chadima b63e804a73 perl/perl-Math-GSL-Linalg-SVD: Added (SVD and eigenvector decomp).
Signed-off-by: David Spencer <idlemoor@slackbuilds.org>
2018-03-21 22:53:14 +00:00

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perl-Math-GSL-Linalg-SVD: perl-Math-GSL-Linalg-SVD (Performing SVD and eigenvector decomp)
perl-Math-GSL-Linalg-SVD:
perl-Math-GSL-Linalg-SVD: The singular value decomposition (SVD) is an important factorization
perl-Math-GSL-Linalg-SVD: of a rectangular real matrix. Eigendecomposition is the factorization
perl-Math-GSL-Linalg-SVD: of a matrix into a canonical form, whereby the matrix is represented
perl-Math-GSL-Linalg-SVD: in terms of its eigenvalues and eigenvectors. This module implements
perl-Math-GSL-Linalg-SVD: the SVD and Eigen decomposition routines of the The GSL.
perl-Math-GSL-Linalg-SVD:
perl-Math-GSL-Linalg-SVD: Homepage: https://metacpan.org/pod/Math::GSL::Linalg::SVD
perl-Math-GSL-Linalg-SVD:
perl-Math-GSL-Linalg-SVD: