perl/perl-Math-GSL-Linalg-SVD: Added (SVD and eigenvector decomp).
Signed-off-by: David Spencer <idlemoor@slackbuilds.org>
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The singular value decomposition (SVD) is an important factorization
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of a rectangular real matrix
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- see http://en.wikipedia.org/wiki/Singular_value_decomposition.
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Eigendecomposition is the factorization of a matrix into a canonical
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form, whereby the matrix is represented in terms of its eigenvalues
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and eigenvectors
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- see http://en.wikipedia.org/wiki/Eigendecomposition_of_a_matrix.
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This module implements the SVD and Eigen decomposition routines of
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the The C GNU Scientific Library (GSL).
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It provides simple convenience methods in the upper-level
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Math::GSL::Linalg::SVD namespace to perform these operations.
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Alternatively, it also provides direct access to the C routines in
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the Math::GSL::Linalg::SVD::Matrix, Math::GSL::Linalg::SVD::Vector
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and Math::GSL::Linalg::SVD::Eigen namespaces - see METHODS.
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#!/bin/sh
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# Slackware build script for perl-Math-GSL-Linalg-SVD
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# Copyright 2018 Jan F. Chadima <jfch@jagda.eu>
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# All rights reserved.
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#
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# Redistribution and use of this script, with or without modification, is
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# permitted provided that the following conditions are met:
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#
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# 1. Redistributions of this script must retain the above copyright
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# notice, this list of conditions and the following disclaimer.
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#
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# THIS SOFTWARE IS PROVIDED BY THE AUTHOR "AS IS" AND ANY EXPRESS OR IMPLIED
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# WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
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# MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO
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# EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
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# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
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# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR
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# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF
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# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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PRGNAM=perl-Math-GSL-Linalg-SVD
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VERSION=${VERSION:-0.0.2}
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BUILD=${BUILD:-1}
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TAG=${TAG:-_SBo}
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SRCNAM="$(printf $PRGNAM | cut -d- -f2-)"
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if [ -z "$ARCH" ]; then
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case "$( uname -m )" in
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i?86) ARCH=i586 ;;
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arm*) ARCH=arm ;;
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*) ARCH=$( uname -m ) ;;
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esac
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fi
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CWD=$(pwd)
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TMP=${TMP:-/tmp/SBo}
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PKG=$TMP/package-$PRGNAM
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OUTPUT=${OUTPUT:-/tmp}
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if [ "$ARCH" = "i586" ]; then
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SLKCFLAGS="-O2 -march=i586 -mtune=i686"
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LIBDIRSUFFIX=""
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elif [ "$ARCH" = "i686" ]; then
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SLKCFLAGS="-O2 -march=i686 -mtune=i686"
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LIBDIRSUFFIX=""
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elif [ "$ARCH" = "x86_64" ]; then
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SLKCFLAGS="-O2 -fPIC"
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LIBDIRSUFFIX="64"
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else
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SLKCFLAGS="-O2"
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LIBDIRSUFFIX=""
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fi
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set -e
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rm -rf $PKG
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mkdir -p $TMP $PKG $OUTPUT
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cd $TMP
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rm -rf $SRCNAM-$VERSION
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tar xvf $CWD/$SRCNAM-$VERSION.tar.gz
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cd $SRCNAM
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chown -R root:root .
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find -L . \
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\( -perm 777 -o -perm 775 -o -perm 750 -o -perm 711 -o -perm 555 \
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-o -perm 511 \) -exec chmod 755 {} \; -o \
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\( -perm 666 -o -perm 664 -o -perm 640 -o -perm 600 -o -perm 444 \
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-o -perm 440 -o -perm 400 \) -exec chmod 644 {} \;
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perl Makefile.PL \
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PREFIX=/usr \
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INSTALLDIRS=vendor \
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INSTALLVENDORMAN3DIR=/usr/man/man3
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make
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make test
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make install DESTDIR=$PKG
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find $PKG -print0 | xargs -0 file | grep -e "executable" -e "shared object" | grep ELF \
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| cut -f 1 -d : | xargs strip --strip-unneeded 2> /dev/null || true
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find $PKG/usr/man -type f -exec gzip -9 {} \;
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for i in $( find $PKG/usr/man -type l ) ; do ln -s $( readlink $i ).gz $i.gz ; rm $i ; done
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find $PKG -name perllocal.pod -o -name ".packlist" -o -name "*.bs" | xargs rm -f || true
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find $PKG -depth -type d -empty -delete || true
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mkdir -p $PKG/usr/doc/$PRGNAM-$VERSION
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cp -a \
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Changes README \
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$PKG/usr/doc/$PRGNAM-$VERSION
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cat $CWD/$PRGNAM.SlackBuild > $PKG/usr/doc/$PRGNAM-$VERSION/$PRGNAM.SlackBuild
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mkdir -p $PKG/install
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cat $CWD/slack-desc > $PKG/install/slack-desc
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cd $PKG
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/sbin/makepkg -l y -c n $OUTPUT/$PRGNAM-$VERSION-$ARCH-$BUILD$TAG.${PKGTYPE:-tgz}
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PRGNAM="perl-Math-GSL-Linalg-SVD"
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VERSION="0.0.2"
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HOMEPAGE="https://metacpan.org/pod/Math::GSL::Linalg::SVD"
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DOWNLOAD="https://cpan.metacpan.org/authors/id/D/DS/DSTH/Math-GSL-Linalg-SVD-0.0.2.tar.gz"
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MD5SUM="3327290ece83ce1bacc7289e62f1db45"
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DOWNLOAD_x86_64=""
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MD5SUM_x86_64=""
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REQUIRES=""
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MAINTAINER="Jan F. Chadima"
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EMAIL="jfch@jagda.eu"
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@ -0,0 +1,19 @@
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# 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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