Re: Generating normally distributed randoms in CL

* "John Thingstad" <op.ue4kez0iut4oq5@xxxxxxxxxxxxxxxxxxx> :
Wrote on Wed, 30 Jul 2008 23:53:13 +0200:

| På Wed, 30 Jul 2008 23:28:22 +0200, skrev Madhu <enometh@xxxxxxxx>:
|
|> * Leonardo Varuzza
|> Wrote on Wed, 30 Jul 2008 13:18:57 -0700 (PDT):
|>
|> | In SBCL the random function uses the well known algorithm of Mersenne
|> | Twister.
|>
|> So does CMUCL, but neither fact is relevant to the point I was making
|> here. I was talking of using a well known _implementation_, (not just
|> algorithm) in your simulation program, which would not depend on the
|> implementation's RANDOM
|>
|
| That's just silly.

Why? Have you even attempted to understand the point I was trying to
make? It is really quite trivial. I dont see why it is so hard to
understand.

| Any random distribution function depends on the randomness.

| LW has a Merseyenne twister as well..

Completely irrelevant to my point again.





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