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.
