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<title>Performance Overview</title>
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<div class="titlepage"><div><div><h2 class="title" style="clear: both">
<a name="math_toolkit.perf_over2"></a><a class="link" href="perf_over2.html" title="Performance Overview">Performance Overview</a>
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<p>
By and large the performance of this library should be acceptable for most
needs. However, you should note that this library's primary emphasis is on
accuracy and numerical stability, and <span class="emphasis"><em>not</em></span> speed.
</p>
<p>
In terms of the algorithms used, this library aims to use the same "best
of breed" algorithms as many other libraries: the principle difference
is that this library is implemented in C++ - taking advantage of all the abstraction
mechanisms that C++ offers - where as most traditional numeric libraries are
implemented in C or FORTRAN. Traditionally languages such as C or FORTRAN are
perceived as easier to optimise than more complex languages like C++, so in
a sense this library provides a good test of current compiler technology, and
the "abstraction penalty" - if any - of C++ compared to other languages.
</p>
<p>
The two most important things you can do to ensure the best performance from
this library are:
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<li class="listitem">
Turn on your compilers optimisations: the difference between "release"
and "debug" builds can easily be a <a class="link" href="getting_best.html" title="Getting the Best Performance from this Library">factor
of 20</a>.
</li>
<li class="listitem">
Pick your compiler carefully: <a class="link" href="comp_compilers.html" title="Comparing Compilers">performance
differences of up to 8 fold</a> have been found between some Windows
compilers for example.
</li>
</ol></div>
<p>
The <a class="link" href="../perf.html" title="Chapter 15. Performance">performance section</a> contains more information
on the performance of this library, what you can do to fine tune it, and how
this library compares to some other open source alternatives.
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<td align="right"><div class="copyright-footer">Copyright © 2006-2010, 2012-2014 Nikhar Agrawal,
Anton Bikineev, Paul A. Bristow, Marco Guazzone, Christopher Kormanyos, Hubert
Holin, Bruno Lalande, John Maddock, Johan Råde, Gautam Sewani, Benjamin Sobotta,
Thijs van den Berg, Daryle Walker and Xiaogang Zhang<p>
Distributed under the Boost Software License, Version 1.0. (See accompanying
file LICENSE_1_0.txt or copy at <a href="http://www.boost.org/LICENSE_1_0.txt" target="_top">http://www.boost.org/LICENSE_1_0.txt</a>)
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