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    <p>How about the <a href="http://www.boost.org/doc/libs/1_45_0/doc/html/boost_random/tutorial.html#boost_random.tutorial.generating_integers_in_a_range" rel="noreferrer">Mersenne Twister</a>? The boost implementation is rather easy to use and is well tested in many real-world applications. I've used it myself in several academic projects such as artificial intelligence and evolutionary algorithms.</p> <p>Here's their example where they make a simple function to roll a six-sided die:</p> <pre><code>#include &lt;boost/random/mersenne_twister.hpp&gt; #include &lt;boost/random/uniform_int.hpp&gt; #include &lt;boost/random/variate_generator.hpp&gt; boost::mt19937 gen; int roll_die() { boost::uniform_int&lt;&gt; dist(1, 6); boost::variate_generator&lt;boost::mt19937&amp;, boost::uniform_int&lt;&gt; &gt; die(gen, dist); return die(); } </code></pre> <p>Oh, and here's some more pimping of this generator just in case you aren't convinced you should use it over the vastly inferior <code>rand()</code>:</p> <blockquote> <p>The Mersenne Twister is a "random number" generator invented by Makoto Matsumoto and Takuji Nishimura; their website includes numerous implementations of the algorithm.</p> <p>Essentially, the Mersenne Twister is a very large linear-feedback shift register. The algorithm operates on a 19,937 bit seed, stored in an 624-element array of 32-bit unsigned integers. The value 2^19937-1 is a Mersenne prime; the technique for manipulating the seed is based on an older "twisting" algorithm -- hence the name "Mersenne Twister".</p> <p>An appealing aspect of the Mersenne Twister is its use of binary operations -- as opposed to time-consuming multiplication -- for generating numbers. The algorithm also has a very long period, and good granularity. It is both fast and effective for non-cryptographic applications.</p> </blockquote>
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    1. POGenerating random integer from a range
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    1. COThe Mersenne twister is a good generator, but the problem he's dealing with remains, regardless of the underlying generator itself.
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      1. USJerry Coffin
    2. COI don't want to use Boost just for the random generator, because (since my project is a library) it means introducing another dependency to the project. I will probably be forced to use it anyways in the future, so then I can switch to this generator.
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      1. USMatěj Zábský
    3. CO@Jerry Coffin Which problem? I offered it because it satisfied all of his requirements: it's fast, it's uniform (using the `boost::uniform_int` distribution), you can transform the min max ranges into anything you like, and it's seedable.
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