Path: utzoo!mnetor!uunet!husc6!cmcl2!brl-adm!umd5!purdue!i.cc.purdue.edu!j.cc.purdue.edu!pur-ee!uiucdcs!uxc.cso.uiuc.edu!uxe.cso.uiuc.edu!mcdonald
From: mcdonald@uxe.cso.uiuc.edu
Newsgroups: comp.lang.c
Subject: Re: random number generator
Message-ID: <225800004@uxe.cso.uiuc.edu>
Date: 16 Feb 88 14:58:00 GMT
References: <11809@brl-adm.ARPA>
Lines: 9
Nf-ID: #R:brl-adm.ARPA:11809:uxe.cso.uiuc.edu:225800004:000:324
Nf-From: uxe.cso.uiuc.edu!mcdonald    Feb 16 08:58:00 1988


>Simplistic, but this works:
>Generate about 12 random numbers (assuming 0.0 <= i <1.0)

       ADD THEM TOGETHER

>and divide by 12.  This is sufficiently close to gaussian distribution
>for most purposes.  The more numbers you generate before you do the
>division, the closer you will get to purely gaussian distribution.