From:	Jerzy DOT Witkowski AT ii DOT uni DOT wroc DOT pl (Jerzy Witkowski)
Newsgroups:	comp.os.msdos.djgpp
Subject:	Re: a randomize function for DJGPP?
Date:	10 Mar 1997 09:44:59 +0100
Organization:	University of Wroclaw
Lines:	24
Sender:	jwi AT swiatowit DOT ii DOT uni DOT wroc DOT pl
Message-ID:	<x6g1y4xhis.fsf@swiatowit.ii.uni.wroc.pl>
References:	<5flbpp$m74 AT nr1 DOT ottawa DOT istar DOT net> <331FC0D1 DOT 1A26 AT cs DOT com>
	<E6oqJs DOT K2n AT boss DOT cs DOT ohiou DOT edu> <5fps67$pc3 AT news DOT ox DOT ac DOT uk>
	<E6so1o DOT AI AT boss DOT cs DOT ohiou DOT edu>
NNTP-Posting-Host:	swiatowit.ii.uni.wroc.pl
In-reply-to:	cigna@helios.phy.OhioU.Edu's message of Sun, 9 Mar 1997 21:08:12
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To:	djgpp AT delorie DOT com
DJ-Gateway:	from newsgroup comp.os.msdos.djgpp

In article <E6so1o DOT AI AT boss DOT cs DOT ohiou DOT edu>
cigna AT helios DOT phy DOT OhioU DOT Edu (Dave Cigna) writes: 

> >: The best way to get get random numbers uniformly distributed from
> >: 0 to X-1 is to use:
> >
> >:   n = ((double)random() / RAND_MAX) * X;

RAND_MAX should be used with rand() function.
MAXINT should be used with random() function.
To get integer random number from 0 to X-1 you could use
(random()%X).  
To get real random number from [0,1) you could use
((double)random()/((double)MAXINT+1.0)) (multiply it by X in your
case). 

Hope this helps,
-- 
Jerzy Witkowski     <Jerzy DOT Witkowski AT ii DOT uni DOT wroc DOT pl>          o       o

University of Wroclaw, Institute of Computer Science         /| |   |/|
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