Steve, I don't think that method works. The mapping between the argument to srand and the internal state of the MT is quite complicated. We are calling a seed function in the library we are using that maps an integer to a state vector so srand(1) and srand(2) end up as two quite different streams. I think this is quite on purpose to avoid that many of the same streams get repeated over and over. Also, I think the seed function tries to select a state vector that doesn't require you to burn numbers.
2015-02-28 17:35 GMT-05:00 Ivar Nesje <[email protected]>: > If you find evidence that there is anything wrong with the first N random > numbers in the standard Random Number Generator (RNG) in Julia, we would > consider that a bug, fix it, and release a new point release faster than a > Lenovo CTO is able to arrange a meeting with someone who understands the > https protocol. > > You should still be aware that we optimize for speed and statistical bias, > so you should not rely on the built-in RNG for cryptography or other > security related purposes.
