July 2009


Options: Use Monospaced Font
Show HTML Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
steven citron-pousty <[log in to unmask]>
Reply To:
MASON Multiagent Simulation Toolkit <[log in to unmask]>
Sat, 4 Jul 2009 17:15:28 -0700
text/plain (2225 bytes) , text/html (2976 bytes)
I have used COLT before with great results. I highly recommend checking it

On Sat, Jul 4, 2009 at 4:50 PM, John McManus <[log in to unmask]>wrote:

> At least a few years ago, RePast used to include the Colt package, which
> includes routines from CERN, Cornell and maybe others. I still use this for
> statistical distributions, especially when I want to generate random numbers
> from a given distribution (<>
> ).
> Colt and others are listed at (
> John
> -----Original Message-----
> From: MASON Multiagent Simulation Toolkit [mailto:
> [log in to unmask]] On Behalf Of Sean Luke
> Sent: Saturday, July 04, 2009 10:08 AM
> To: [log in to unmask]
> Subject: Re: probability distributions
> t.n.a. wrote:
> > I'm not sure how I would go about transforming uniform distribution
> > random numbers to a specific distribution...I could do it for simple,
> > streight-lined artificial distributions, but for distributions like
> > gamma, it'd turn into a project of it's own...
> Actually, it's not nearly as hard as it sounds -- it depends on the
> distribution though.  There are a lot of standard algorithms (Knuth
> might be good to check out).
> CERN's numerics library, which I think Repast is using, has got some
> transformations in it.  We could start there.
> > Thinking about it, it seems to me that it would be good enough to
> > track down one or two good libraries supporting a wide variety of
> > probability distributions and do the following:
> > - package them together with mason if the licences are compatible and/or
> > - update the mason documentation so that it links heavily to the
> > selected libraries and explains how to use them
> The primary issue license wise is: we're hesitant to include LGPL
> because it has some serious compatibility problems with Java and
> BSD-style licenses (like our own).  GPL is out entirely.  So if we can
> find a BSD-style it'd be best.  Else we could just roll our own.  For
> example, I might just implement some algorithms directly in
> MersenneTwisterFast, which would be the most convenient scenario probably.
> Let me know shat you find.
> Sean