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14.2 > Perl > perl-Math-GSL-Linalg-SVD (0.0.2)

The singular value decomposition (SVD) is an important factorization
of a rectangular real matrix
- see http://en.wikipedia.org/wiki/Singular_value_decomposition.

Eigendecomposition is the factorization of a matrix into a canonical
form, whereby the matrix is represented in terms of its eigenvalues
and eigenvectors
- see http://en.wikipedia.org/wiki/Eigendecomposition_of_a_matrix.

This module implements the SVD and Eigen decomposition routines of
the The C GNU Scientific Library (GSL).

It provides simple convenience methods in the upper-level
Math::GSL::Linalg::SVD namespace to perform these operations.
Alternatively, it also provides direct access to the C routines in
the Math::GSL::Linalg::SVD::Matrix, Math::GSL::Linalg::SVD::Vector
and Math::GSL::Linalg::SVD::Eigen namespaces - see METHODS.

Maintained by: Jan F. Chadima
Keywords: perl linalg SVD
ChangeLog: perl-Math-GSL-Linalg-SVD

Homepage:
https://metacpan.org/pod/Math::GSL::Linalg::SVD

Source Downloads:
Math-GSL-Linalg-SVD-0.0.2.tar.gz (3327290ece83ce1bacc7289e62f1db45)

Download SlackBuild:
perl-Math-GSL-Linalg-SVD.tar.gz
perl-Math-GSL-Linalg-SVD.tar.gz.asc (FAQ)

(the SlackBuild does not include the source)

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