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<h1>Pysparse</h1>

<p>
Pysparse is a fast sparse matrix library for Python. It provides several sparse
matrix storage formats and conversion methods. It also implements a number of
iterative solvers, preconditioners, and interfaces to efficient factorization
packages. Both low-level and high-level interfaces are available, each with
different strengths. The only requirement to install and use Pysparse is <a
href="http://numpy.scipy.org">Numpy</a>. Be sure to check the <a
href="{{ pathto('contents') }}">Documentation </a> for examples.
</p>

<h2>Projects Using Pysparse</h2>
<ul>
  <li>
  <a href="http://www.ctcms.nist.gov/fipy">FiPy</a>: A Finite-Volume PDE Solver
  for Python
  </li>
  <li>
  <a href="http://nlpy.sf.net">NLPy</a>: A Nonlinear Programming Environment in
  Python
  </li>
  <li>
  <a href="http://sfepy.org">SfePy</a>: Simple Finite Elements in Python
  </li>
  <li>If you use Pysparse, please let us know!</li>
</ul>

<h2>Documentation</h2>
<table class="contentstable" align="center" style="margin-left: 30px"><tr>
  <td width="50%">
    <p class="biglink"><a class="biglink" href="{{ pathto("contents") }}">Contents</a><br/>
    <span class="linkdescr">for a complete overview</span></p>
    <p class="biglink"><a class="biglink" href="{{ pathto("search") }}">Search page</a><br/>
    <span class="linkdescr">search the documentation</span></p>
  </td><td width="50%">
    <p class="biglink"><a class="biglink" href="{{ pathto("genindex") }}">General Index</a><br/>
    <span class="linkdescr">all functions, classes, terms</span></p>
    <p class="biglink"><a class="biglink" href="{{ pathto("modindex") }}">Module Index</a><br/>
    <span class="linkdescr">quick access to all documented modules</span></p>
  </td></tr>
</table>

<p>
The complete documentation is also available in
<a href="http://pysparse.sf.net/Pysparse.pdf">PDF</a> format.
</p>

<h2>Get Pysparse</h2>
<p>
Pysparse is available in source form from <a
href="http://sourceforge.net/project/showfiles.php?group_id=101403">SourceForge</a>
directly from the Subversion repository using
</p>

<pre>
  svn co https://pysparse.svn.sourceforge.net/svnroot/pysparse/trunk pysparse</pre>

or from the <a href="http://pypi.python.org/pypi">Python Package Index</a>:

<pre>
  pip install pysparse</pre>

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