[MATRIX-SIG] random number generator?

[Paul F. Dubois]

If your project is large and you may have need for independent random number
streams then consider URNG. This is part of the LLNL distribution available
at ftp-icf.llnl.gov/pub/python. Generally in our simulations we don't want
turning on or off some piece of physics to change the answer some other piece
of physics is getting. URNG allows you to create a separate state for each
piece of physics.
The design is explained in my book "Object Technology for Scientific
Computing". But to answer the obvious question, the algorithm is efficient;
it does not, for example, save the state after every call.
----------
> From: Rupert Mazzucco <maz@pap.univie.ac.at>
> To: matrix-sig@python.org
> Subject: [MATRIX-SIG] random number generator?
> Date: Sunday, October 26, 1997 1:25 PM
> 
> Hello,
> 
> I'm trying to do some simulation with Monte-Carlo methods,
> and I'm a bit confused by the various random number modules.
> There is rand, random, whrandom, and ranlib & RandomArray from
> NumPy. Which one should I use and why are there others?
> 
> Thank you.
> 
> Regards,
> Rupert Mazzucco
> 
> PS: I notice there is not much traffic here, lately. Does that
>     imply anything about the status of the NumPy project?
> 
> PPS: Is there really no += operator in Python?
> 
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