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authorJan F. Chadima <jfch@jagda.eu>2018-03-21 22:53:14 +0000
committerDavid Spencer <idlemoor@slackbuilds.org>2018-03-21 22:53:14 +0000
commitb63e804a7338373d8e1479b192a0cadf9f3118fd (patch)
treedbac741daa21ba44aaa35b5163748c6ba1451b76 /perl/perl-Math-GSL-Linalg-SVD/slack-desc
parent92153682d8a66d8c8d74dd626f79f4c5dde173f1 (diff)
perl/perl-Math-GSL-Linalg-SVD: Added (SVD and eigenvector decomp).
Signed-off-by: David Spencer <idlemoor@slackbuilds.org>
Diffstat (limited to 'perl/perl-Math-GSL-Linalg-SVD/slack-desc')
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+# HOW TO EDIT THIS FILE:
+# The "handy ruler" below makes it easier to edit a package description.
+# Line up the first '|' above the ':' following the base package name, and
+# the '|' on the right side marks the last column you can put a character in.
+# You must make exactly 11 lines for the formatting to be correct. It's also
+# customary to leave one space after the ':' except on otherwise blank lines.
+
+ |-----handy-ruler------------------------------------------------------|
+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: