Re: Generating normally distributed randoms in CL
- From: "John Thingstad" <jpthing@xxxxxxxxx>
- Date: 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. Any random distribution function depends on the randomness.
LW has a Merseyenne twister as well..
--------------
John Thingstad
.
- Follow-Ups:
- Re: Generating normally distributed randoms in CL
- From: Paul Donnelly
- Re: Generating normally distributed randoms in CL
- From: Madhu
- Re: Generating normally distributed randoms in CL
- References:
- Generating normally distributed randoms in CL
- From: krzysztof.kielak@xxxxxxxxxxxxxx
- Re: Generating normally distributed randoms in CL
- From: Pascal J. Bourguignon
- Re: Generating normally distributed randoms in CL
- From: Tamas K Papp
- Re: Generating normally distributed randoms in CL
- From: Madhu
- Re: Generating normally distributed randoms in CL
- From: Leonardo Varuzza
- Re: Generating normally distributed randoms in CL
- From: Madhu
- Generating normally distributed randoms in CL
- Prev by Date: Re: Generating normally distributed randoms in CL
- Next by Date: Re: Collecting like-labelled sublists of a list
- Previous by thread: Re: Generating normally distributed randoms in CL
- Next by thread: Re: Generating normally distributed randoms in CL
- Index(es):
Relevant Pages
|