I have written a RNG class which holds different algorithms, however it does not work as expected. Besides the fact that i want use normal (rather than uniform) distribution my code always returns eit
I\'m working on a card game and I need the shuffle algorithm to do a very good job and to be different eve开发者_运维百科ry time the game runs and to not have predictable card sequences.
Does the pseudocode provided in Wikipedia\'s article on Mersenne Twister work with Little Endian (\"atomic elemen开发者_C百科t size\" 8 or 16 bit), or any other byte-orderings?
I assumed the answer to this is simple but at the moment it seems to be completely alluding me. I\'m using Mersenne Twister (implementation here http://www.bedaux.net/mtrand/) for generating random n
The following code outputs a random number each second: int main () { srand(time(NULL)); // Seeds number generator with execution time.
I am a little unsure about the right forum for this question. It is between theoretical comp. sci./math and programming.
can anyone tell 开发者_开发技巧me if the mersenne twister pseudocode on this page is the same as the code here? if they are not the same, which one is correct?
I was using the Mersenne-Twister implementation at http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/VERSIONS/JAVA/MTRandom.java as a drop-in replacement for the default java.util.Random class. However,
I am using a C# implementation of Mersenne Twister I downloaded from CenterSpace. I have two problems with it:
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