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b63e804a73
Signed-off-by: David Spencer <idlemoor@slackbuilds.org>
19 lines
1.2 KiB
Text
19 lines
1.2 KiB
Text
# HOW TO EDIT THIS FILE:
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# The "handy ruler" below makes it easier to edit a package description.
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# Line up the first '|' above the ':' following the base package name, and
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# the '|' on the right side marks the last column you can put a character in.
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# You must make exactly 11 lines for the formatting to be correct. It's also
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# customary to leave one space after the ':' except on otherwise blank lines.
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|-----handy-ruler------------------------------------------------------|
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perl-Math-GSL-Linalg-SVD: perl-Math-GSL-Linalg-SVD (Performing SVD and eigenvector decomp)
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perl-Math-GSL-Linalg-SVD:
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perl-Math-GSL-Linalg-SVD: The singular value decomposition (SVD) is an important factorization
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perl-Math-GSL-Linalg-SVD: of a rectangular real matrix. Eigendecomposition is the factorization
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perl-Math-GSL-Linalg-SVD: of a matrix into a canonical form, whereby the matrix is represented
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perl-Math-GSL-Linalg-SVD: in terms of its eigenvalues and eigenvectors. This module implements
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perl-Math-GSL-Linalg-SVD: the SVD and Eigen decomposition routines of the The GSL.
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perl-Math-GSL-Linalg-SVD:
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perl-Math-GSL-Linalg-SVD: Homepage: https://metacpan.org/pod/Math::GSL::Linalg::SVD
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perl-Math-GSL-Linalg-SVD:
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perl-Math-GSL-Linalg-SVD:
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