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+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.