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<title>GNU Scientific Library – Reference Manual: Eigenvalue and Eigenvector References</title>
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Previous: <a href="Eigenvalue-and-Eigenvector-Examples.html#Eigenvalue-and-Eigenvector-Examples" accesskey="p" rel="previous">Eigenvalue and Eigenvector Examples</a>, Up: <a href="Eigensystems.html#Eigensystems" accesskey="u" rel="up">Eigensystems</a> [<a href="Function-Index.html#Function-Index" title="Index" rel="index">Index</a>]</p>
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<a name="References-and-Further-Reading-10"></a>
<h3 class="section">15.9 References and Further Reading</h3>
<p>Further information on the algorithms described in this section can be
found in the following book,
</p>
<ul class="no-bullet">
<li><!-- /@w --> G. H. Golub, C. F. Van Loan, <cite>Matrix Computations</cite> (3rd Ed, 1996),
Johns Hopkins University Press, ISBN 0-8018-5414-8.
</li></ul>
<p>Further information on the generalized eigensystems QZ algorithm
can be found in this paper,
</p>
<ul class="no-bullet">
<li><!-- /@w --> C. Moler, G. Stewart, “An Algorithm for Generalized Matrix Eigenvalue
Problems”, SIAM J. Numer. Anal., Vol 10, No 2, 1973.
</li></ul>
<a name="index-LAPACK"></a>
<p>Eigensystem routines for very large matrices can be found in the
Fortran library <small>LAPACK</small>. The <small>LAPACK</small> library is described in,
</p>
<ul class="no-bullet">
<li><!-- /@w --> <cite>LAPACK Users’ Guide</cite> (Third Edition, 1999), Published by SIAM,
ISBN 0-89871-447-8.
<p><a href="http://www.netlib.org/lapack">http://www.netlib.org/lapack</a>
</p></li></ul>
<p>The <small>LAPACK</small> source code can be found at the website above along with
an online copy of the users guide.
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