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POHow to let Boost::random and Matlab produce the same random numbers
 

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  1. POHow to let Boost::random and Matlab produce the same random numbers
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    <p>To check my C++ code, I would like to be able to let Boost::Random and Matlab produce the same random numbers.</p> <p>So for Boost I use the code:</p> <pre><code>boost::mt19937 var(static_cast&lt;unsigned&gt; (std::time(0))); boost::uniform_int&lt;&gt; dist(1, 6); boost::variate_generator&lt;boost::mt19937&amp;, boost::uniform_int&lt;&gt; &gt; die(var, dist); die.engine().seed(0); for(int i = 0; i &lt; 10; ++i) { std::cout &lt;&lt; die() &lt;&lt; " "; } std::cout &lt;&lt; std::endl; </code></pre> <p>Which produces (every run of the program):<br> <code>4 4 5 6 4 6 4 6 3 4</code></p> <p>And for matlab I use:</p> <pre><code>RandStream.setDefaultStream(RandStream('mt19937ar','seed',0)); randi(6,1,10) </code></pre> <p>Which produces (every run of the program):<br> <code>5 6 1 6 4 1 2 4 6 6</code></p> <p>Which is bizarre, since both use the same algorithm, and same seed. What do I miss?</p> <p>It seems that Python (using numpy) and Matlab seems comparable, in the random uniform numbers: Matlab</p> <p>RandStream.setDefaultStream(RandStream('mt19937ar','seed',203));rand(1,10)</p> <p><code>0.8479 0.1889 0.4506 0.6253 0.9697 0.2078 0.5944 0.9115 0.2457 0.7743</code></p> <p>Python: random.seed(203);random.random(10)</p> <p><code>array([ 0.84790006, 0.18893843, 0.45060688, 0.62534723, 0.96974765, 0.20780668, 0.59444858, 0.91145688, 0.24568615, 0.77430378])</code></p> <p>C++Boost</p> <p><code>0.8479 0.667228 0.188938 0.715892 0.450607 0.0790326 0.625347 0.972369 0.969748 0.858771</code></p> <p>Which is identical to ever other Python and Matlab value...</p>
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    1. COWhy don't you just generate a random stream either in C or MATLAB, store it on a file, and access it through both the environments?
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    2. COI think that you should not feed Boost whit time(0).
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    3. CO@ntt, that is a possibility but for me not favourable, it seems really a hack.
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