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Next: <a href="Vectorization-and-Faster-Code-Execution.html" accesskey="n" rel="next">Vectorization and Faster Code Execution</a>, Previous: <a href="Arithmetic.html" accesskey="p" rel="prev">Arithmetic</a> &nbsp; [<a href="index.html#SEC_Contents" title="Table of contents" rel="contents">Contents</a>][<a href="Concept-Index.html" title="Index" rel="index">Index</a>]</p>
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<h2 class="chapter" id="Linear-Algebra-1"><span>18 Linear Algebra<a class="copiable-link" href="#Linear-Algebra-1"> &para;</a></span></h2>
<a class="index-entry-id" id="index-linear-algebra"></a>

<p>This chapter documents the linear algebra functions provided in Octave.
Reference material for many of these functions may be found in
Golub and Van Loan, <cite class="cite">Matrix Computations, 2nd Ed.</cite>,
Johns Hopkins, 1989, and in the <cite class="cite"><small class="sc">LAPACK</small> Users&rsquo; Guide</cite>, SIAM, 1992.
The <cite class="cite"><small class="sc">LAPACK</small> Users&rsquo; Guide</cite> is available at:
<cite class="cite">http://www.netlib.org/lapack/lug/</cite>
</p>
<p>A common text for engineering courses is G. Strang,
<cite class="cite">Linear Algebra and Its Applications, 4th Edition</cite>. It has become a
widespread reference for linear algebra.  An alternative is P. Lax
<cite class="cite">Linear Algebra and Its Applications</cite>, and also is a good choice.  It
claims to be suitable for high school students with substantial mathematical
interests as well as first-year undergraduates.
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<ul class="mini-toc">
<li><a href="Techniques-Used-for-Linear-Algebra.html" accesskey="1">Techniques Used for Linear Algebra</a></li>
<li><a href="Basic-Matrix-Functions.html" accesskey="2">Basic Matrix Functions</a></li>
<li><a href="Matrix-Factorizations.html" accesskey="3">Matrix Factorizations</a></li>
<li><a href="Functions-of-a-Matrix.html" accesskey="4">Functions of a Matrix</a></li>
<li><a href="Specialized-Solvers.html" accesskey="5">Specialized Solvers</a></li>
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