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: