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Next: <a href="Sparse-Linear-Algebra.html" accesskey="n" rel="next">Linear Algebra on Sparse Matrices</a>, Up: <a href="Sparse-Matrices.html" accesskey="u" rel="up">Sparse Matrices</a> [<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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<h3 class="section" id="Creation-and-Manipulation-of-Sparse-Matrices"><span>22.1 Creation and Manipulation of Sparse Matrices<a class="copiable-link" href="#Creation-and-Manipulation-of-Sparse-Matrices"> ¶</a></span></h3>
<p>The size of mathematical problems that can be treated at any particular
time is generally limited by the available computing resources. Both,
the speed of the computer and its available memory place limitation on
the problem size.
</p>
<p>There are many classes of mathematical problems which give rise to
matrices, where a large number of the elements are zero. In this case
it makes sense to have a special matrix type to handle this class of
problems where only the nonzero elements of the matrix are
stored. Not only does this reduce the amount of memory to store the
matrix, but it also means that operations on this type of matrix can
take advantage of the a priori knowledge of the positions of the
nonzero elements to accelerate their calculations.
</p>
<p>A matrix type that stores only the nonzero elements is generally called
sparse. It is the purpose of this document to discuss the basics of the
storage and creation of sparse matrices and the fundamental operations
on them.
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<li><a href="Storage-of-Sparse-Matrices.html" accesskey="1">Storage of Sparse Matrices</a></li>
<li><a href="Creating-Sparse-Matrices.html" accesskey="2">Creating Sparse Matrices</a></li>
<li><a href="Information.html" accesskey="3">Finding Information about Sparse Matrices</a></li>
<li><a href="Operators-and-Functions.html" accesskey="4">Basic Operators and Functions on Sparse Matrices</a></li>
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