<?xml version="1.0" encoding="utf-8"?>
<?xml-stylesheet type="text/css" href="http://sotirov-bg.net/slackpack/style/atom.css"?>
<feed xml:lang="en" xmlns="http://www.w3.org/2005/Atom">
  <id>http://sotirov-bg.net/slackpack</id>
  <title>SlackPack - Latest from Netlib</title>
  <link href="http://sotirov-bg.net/slackpack/search.cgi?ven=14" rel="alternate" type="text/html"/>
  <link href="http://sotirov-bg.net/slackpack/feed.cgi?ven=14&amp;f=atom" rel="self" type="application/atom+xml"/>
  <icon>http://sotirov-bg.net/slackpack/img/slackpack</icon>
  <updated>2012-03-04T10:56:57Z</updated>

  <author>
    <name>Georgi D. Sotirov</name>
    <uri>http://sotirov-bg.net/~gsotirov/</uri>
    <email>gdsotirov@dir.bg</email>
  </author>
  <rights>Copyright (c) 2005-2011 Georgi D. Sotirov</rights>
  <generator uri="http://sotirov-bg.net/slackpack" version="0.4.2">SlackPack</generator>

  <entry>
    <id>http://sotirov-bg.net/slackpack/pack.cgi?id=1240</id>
    <title>lapack-3.4.0-x86_64-1 for Slackware 13.37</title>
    <link href="http://sotirov-bg.net/slackpack/pack.cgi?id=1240" rel="alternate" type="text/html"/>
    <author>
      <name>Georgi Sotirov</name>
      <email>gdsotirov@dir.bg</email>
    </author>
    <content type="html">&lt;p&gt;&lt;strong&gt;Name&lt;/strong&gt;: lapack&lt;br /&gt;
   &lt;strong&gt;Version&lt;/strong&gt;: 3.4.0&lt;br /&gt;
   &lt;strong&gt;Build&lt;/strong&gt;: 1&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;License&lt;/strong&gt;: BSD&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Architecture&lt;/strong&gt;: Intel x86-64&lt;br /&gt;
   &lt;strong&gt;Format&lt;/strong&gt;: Slackware 13.37&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Description&lt;/strong&gt;: LAPACK is written in Fortran90 and provides routines for solvingsystems of simultaneous linear equations, least-squares solutionsof linear systems of equations, eigenvalue problems, and singularvalue problems. The associated matrix factorizations (LU,Cholesky, QR, SVD, Schur, generalized Schur) are also provided,as are related computations such as reordering of the Schurfactorizations and estimating condition numbers. Dense and bandedmatrices are handled, but not general sparse matrices. In allareas, similar functionality is provided for real and complexmatrices, in both single and double precision.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Download&lt;/strong&gt;: &lt;a href=&quot;http://sotirov-bg.net/slackpack/download.cgi?id=1240&quot;&gt;Choose mirror&lt;/a&gt;&lt;/p&gt;
    </content>
    <published>2012-03-04T10:56:57Z</published>
    <updated>2012-03-04T10:56:57Z</updated>
  </entry>
  <entry>
    <id>http://sotirov-bg.net/slackpack/pack.cgi?id=1239</id>
    <title>lapack-3.4.0-i486-1 for Slackware 13.37</title>
    <link href="http://sotirov-bg.net/slackpack/pack.cgi?id=1239" rel="alternate" type="text/html"/>
    <author>
      <name>Georgi Sotirov</name>
      <email>gdsotirov@dir.bg</email>
    </author>
    <content type="html">&lt;p&gt;&lt;strong&gt;Name&lt;/strong&gt;: lapack&lt;br /&gt;
   &lt;strong&gt;Version&lt;/strong&gt;: 3.4.0&lt;br /&gt;
   &lt;strong&gt;Build&lt;/strong&gt;: 1&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;License&lt;/strong&gt;: BSD&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Architecture&lt;/strong&gt;: Intel i486&lt;br /&gt;
   &lt;strong&gt;Format&lt;/strong&gt;: Slackware 13.37&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Description&lt;/strong&gt;: LAPACK is written in Fortran90 and provides routines for solvingsystems of simultaneous linear equations, least-squares solutionsof linear systems of equations, eigenvalue problems, and singularvalue problems. The associated matrix factorizations (LU,Cholesky, QR, SVD, Schur, generalized Schur) are also provided,as are related computations such as reordering of the Schurfactorizations and estimating condition numbers. Dense and bandedmatrices are handled, but not general sparse matrices. In allareas, similar functionality is provided for real and complexmatrices, in both single and double precision.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Download&lt;/strong&gt;: &lt;a href=&quot;http://sotirov-bg.net/slackpack/download.cgi?id=1239&quot;&gt;Choose mirror&lt;/a&gt;&lt;/p&gt;
    </content>
    <published>2012-03-04T10:55:48Z</published>
    <updated>2012-03-04T10:55:48Z</updated>
  </entry>
  <entry>
    <id>http://sotirov-bg.net/slackpack/pack.cgi?id=1088</id>
    <title>blas-20110419-x86_64-1 for Slackware 13.37</title>
    <link href="http://sotirov-bg.net/slackpack/pack.cgi?id=1088" rel="alternate" type="text/html"/>
    <author>
      <name>Georgi Sotirov</name>
      <email>gdsotirov@dir.bg</email>
    </author>
    <content type="html">&lt;p&gt;&lt;strong&gt;Name&lt;/strong&gt;: blas&lt;br /&gt;
   &lt;strong&gt;Version&lt;/strong&gt;: 20110419&lt;br /&gt;
   &lt;strong&gt;Build&lt;/strong&gt;: 1&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;License&lt;/strong&gt;: BSD&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Architecture&lt;/strong&gt;: Intel x86-64&lt;br /&gt;
   &lt;strong&gt;Format&lt;/strong&gt;: Slackware 13.37&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Description&lt;/strong&gt;: BLAS is a set of efficient routines for most of the basic vector and matrix operations.&amp;nbsp;&amp;nbsp;They are widely used as the basis for other high quality linear algebra software (e.g. lapack and linpack). This implementation is the Fortran 77 reference implementation found at netlib.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Download&lt;/strong&gt;: &lt;a href=&quot;http://sotirov-bg.net/slackpack/download.cgi?id=1088&quot;&gt;Choose mirror&lt;/a&gt;&lt;/p&gt;
    </content>
    <published>2011-10-22T19:36:56Z</published>
    <updated>2011-10-22T19:36:56Z</updated>
  </entry>
  <entry>
    <id>http://sotirov-bg.net/slackpack/pack.cgi?id=1077</id>
    <title>blas-20110419-i486-1 for Slackware 13.37</title>
    <link href="http://sotirov-bg.net/slackpack/pack.cgi?id=1077" rel="alternate" type="text/html"/>
    <author>
      <name>Georgi Sotirov</name>
      <email>gdsotirov@dir.bg</email>
    </author>
    <content type="html">&lt;p&gt;&lt;strong&gt;Name&lt;/strong&gt;: blas&lt;br /&gt;
   &lt;strong&gt;Version&lt;/strong&gt;: 20110419&lt;br /&gt;
   &lt;strong&gt;Build&lt;/strong&gt;: 1&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;License&lt;/strong&gt;: BSD&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Architecture&lt;/strong&gt;: Intel i486&lt;br /&gt;
   &lt;strong&gt;Format&lt;/strong&gt;: Slackware 13.37&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Description&lt;/strong&gt;: BLAS is a set of efficient routines for most of the basic vector and matrix operations.&amp;nbsp;&amp;nbsp;They are widely used as the basis for other high quality linear algebra software (e.g. lapack and linpack). This implementation is the Fortran 77 reference implementation found at netlib.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Download&lt;/strong&gt;: &lt;a href=&quot;http://sotirov-bg.net/slackpack/download.cgi?id=1077&quot;&gt;Choose mirror&lt;/a&gt;&lt;/p&gt;
    </content>
    <published>2011-10-20T21:25:24Z</published>
    <updated>2011-10-20T21:25:24Z</updated>
  </entry>
  <entry>
    <id>http://sotirov-bg.net/slackpack/pack.cgi?id=835</id>
    <title>lapack-3.2.2-i486-1 for Slackware 13.1</title>
    <link href="http://sotirov-bg.net/slackpack/pack.cgi?id=835" rel="alternate" type="text/html"/>
    <author>
      <name>Georgi Sotirov</name>
      <email>gdsotirov@dir.bg</email>
    </author>
    <content type="html">&lt;p&gt;&lt;strong&gt;Name&lt;/strong&gt;: lapack&lt;br /&gt;
   &lt;strong&gt;Version&lt;/strong&gt;: 3.2.2&lt;br /&gt;
   &lt;strong&gt;Build&lt;/strong&gt;: 1&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;License&lt;/strong&gt;: BSD&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Architecture&lt;/strong&gt;: Intel i486&lt;br /&gt;
   &lt;strong&gt;Format&lt;/strong&gt;: Slackware 13.1&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Description&lt;/strong&gt;: LAPACK is written in Fortran90 and provides routines for solvingsystems of simultaneous linear equations, least-squares solutionsof linear systems of equations, eigenvalue problems, and singularvalue problems. The associated matrix factorizations (LU,Cholesky, QR, SVD, Schur, generalized Schur) are also provided,as are related computations such as reordering of the Schurfactorizations and estimating condition numbers. Dense and bandedmatrices are handled, but not general sparse matrices. In allareas, similar functionality is provided for real and complexmatrices, in both single and double precision.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Download&lt;/strong&gt;: &lt;a href=&quot;http://sotirov-bg.net/slackpack/download.cgi?id=835&quot;&gt;Choose mirror&lt;/a&gt;&lt;/p&gt;
    </content>
    <published>2010-08-29T16:31:52Z</published>
    <updated>2010-08-29T16:31:52Z</updated>
  </entry>
  <entry>
    <id>http://sotirov-bg.net/slackpack/pack.cgi?id=663</id>
    <title>lapack-3.2.1-i486-2 for Slackware 13.0</title>
    <link href="http://sotirov-bg.net/slackpack/pack.cgi?id=663" rel="alternate" type="text/html"/>
    <author>
      <name>Georgi Sotirov</name>
      <email>gdsotirov@dir.bg</email>
    </author>
    <content type="html">&lt;p&gt;&lt;strong&gt;Name&lt;/strong&gt;: lapack&lt;br /&gt;
   &lt;strong&gt;Version&lt;/strong&gt;: 3.2.1&lt;br /&gt;
   &lt;strong&gt;Build&lt;/strong&gt;: 2&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;License&lt;/strong&gt;: BSD&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Architecture&lt;/strong&gt;: Intel i486&lt;br /&gt;
   &lt;strong&gt;Format&lt;/strong&gt;: Slackware 13.0&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Description&lt;/strong&gt;: LAPACK is written in Fortran90 and provides routines for solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue problems, and singular value problems.&amp;nbsp;&amp;nbsp;The associated matrix factorizations (LU, Cholesky, QR, SVD, Schur, generalized Schur) are also provided, as are related computations such as reordering of the Schur factorizations and estimating condition numbers. Dense and banded matrices are handled, but not general sparse matrices. In all areas, similar functionality is provided for real and complex matrices, in both single and double precision.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Download&lt;/strong&gt;: &lt;a href=&quot;http://sotirov-bg.net/slackpack/download.cgi?id=663&quot;&gt;Choose mirror&lt;/a&gt;&lt;/p&gt;
    </content>
    <published>2009-11-03T17:59:29Z</published>
    <updated>2009-11-03T17:59:29Z</updated>
  </entry>
  <entry>
    <id>http://sotirov-bg.net/slackpack/pack.cgi?id=632</id>
    <title>blas-20070406-i486-1 for Slackware 13.0</title>
    <link href="http://sotirov-bg.net/slackpack/pack.cgi?id=632" rel="alternate" type="text/html"/>
    <author>
      <name>Georgi Sotirov</name>
      <email>gdsotirov@dir.bg</email>
    </author>
    <content type="html">&lt;p&gt;&lt;strong&gt;Name&lt;/strong&gt;: blas&lt;br /&gt;
   &lt;strong&gt;Version&lt;/strong&gt;: 20070406&lt;br /&gt;
   &lt;strong&gt;Build&lt;/strong&gt;: 1&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;License&lt;/strong&gt;: BSD&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Architecture&lt;/strong&gt;: Intel i486&lt;br /&gt;
   &lt;strong&gt;Format&lt;/strong&gt;: Slackware 13.0&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Description&lt;/strong&gt;: BLAS is a set of efficient routines for most of the basic vector and matrix operations.&amp;nbsp;&amp;nbsp;They are widely used as the basis for other high quality linear algebra software (e.g. lapack and linpack). This implementation is the Fortran 77 reference implementation found at netlib.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Download&lt;/strong&gt;: &lt;a href=&quot;http://sotirov-bg.net/slackpack/download.cgi?id=632&quot;&gt;Choose mirror&lt;/a&gt;&lt;/p&gt;
    </content>
    <published>2009-10-21T21:51:10Z</published>
    <updated>2009-10-21T21:51:10Z</updated>
  </entry>
</feed>