
25 Jun
2009
25 Jun
'09
7:56 a.m.
Hi all, this is my first post here. As far as I've seen boost provides standard random number generators for each distribution class. So, if you want a normally distributed class, you're automatically using Box-Mueller.... However, there are other ways of generating random numbers, such as using the inverse cumulative distribution function and evaluate it at a uniformly generated random number. It might be good to add this functionality to the library, since basically everything that is needed is there. Questions: Is this already in development? Is this something of interest? I'd be willing to participate somehow if this is not already in progress. Need first step guidance though. Best regards, Dima