Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Path: utzoo!mnetor!seismo!think!mit-eddie!uw-beaver!tektronix!reed!mdr From: mdr@reed.UUCP (Mike Rutenberg) Newsgroups: sci.math,sci.physics,sci.crypt,sci.math.stat Subject: Re: Do you use RANDOM NUMBERS? Message-ID: <5722@reed.UUCP> Date: Thu, 19-Mar-87 13:32:09 EST Article-I.D.: reed.5722 Posted: Thu Mar 19 13:32:09 1987 Date-Received: Sat, 21-Mar-87 08:10:06 EST References: <5712@reed.UUCP> <553@entropy.ms.washington.edu> Reply-To: mdr@reed.UUCP (Mike Rutenberg) Organization: Reed College, Portland, OR Lines: 25 Keywords: Random numbers, leprechauns Xref: mnetor sci.math:758 sci.physics:940 sci.crypt:255 sci.math.stat:71 "For most applications real random numbers are undesirable. Consider debugging a monte-carlo or simulation program when you cannot repeat the sequence that led to the problem." [Don Martin] I agree that tracking a specific bug in a Monte-Carlo simulation is easier with a repeatable sequence, but what about running the thing for real. Especially for long running simulations, I'm not sure how much I trust psudeo-random generator libraries, especially if I have a pretty good sense of just how random my hardware is. I find it a little curious that people are trying to simulate particles and other widgets using predictable perturbations (i.e. psudeo-random numbers) - it feels like playing with fire unless you really understand exactly how the simulation might be effected by the flavor of random numbers you're using -- AND THAT'S EXACTLY WHY YOU ARE DOING THE SIMULATION. Am I confused? Mike ps. From all I can tell, hardware random numbers are quite a bit slower to generate than psuedo-random numbers, but then there are hybrid schemes. -- Reed College -- Portland, Oregon -- 503/774-9192