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<h3 class="section">17.14 References and Further Reading</h3>
<p>The subject of random number generation and testing is reviewed
extensively in Knuth's <cite>Seminumerical Algorithms</cite>.
<ul>
<li>Donald E. Knuth, <cite>The Art of Computer Programming: Seminumerical
Algorithms</cite> (Vol 2, 3rd Ed, 1997), Addison-Wesley, ISBN 0201896842.
</ul>
<p class="noindent">Further information is available in the review paper written by Pierre
L'Ecuyer,
<ul>
P. L'Ecuyer, “Random Number Generation”, Chapter 4 of the
Handbook on Simulation, Jerry Banks Ed., Wiley, 1998, 93–137.
<p><a href="http://www.iro.umontreal.ca/~lecuyer/papers.html">http://www.iro.umontreal.ca/~lecuyer/papers.html</a>
in the file <samp><span class="file">handsim.ps</span></samp>.
</ul>
<p class="noindent">The source code for the <span class="sc">diehard</span> random number generator tests is also
available online,
<ul>
<li><cite>DIEHARD source code</cite> G. Marsaglia,
<li><a href="http://stat.fsu.edu/pub/diehard/">http://stat.fsu.edu/pub/diehard/</a>
</ul>
<p class="noindent">A comprehensive set of random number generator tests is available from
<span class="sc">nist</span>,
<ul>
<li>NIST Special Publication 800-22, “A Statistical Test Suite for the
Validation of Random Number Generators and Pseudo Random Number
Generators for Cryptographic Applications”.
<li><a href="http://csrc.nist.gov/rng/">http://csrc.nist.gov/rng/</a>
</ul>
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