Xref: utzoo sci.math:13158 comp.graphics:14157 Path: utzoo!attcan!uunet!wuarchive!cs.utexas.edu!news-server.csri.toronto.edu!dgp.toronto.edu!mccool From: mccool@dgp.toronto.edu (Michael McCool) Newsgroups: sci.math,comp.graphics Subject: Re: question regarding random numbers Message-ID: <1990Oct31.112427.694@jarvis.csri.toronto.edu> Date: 31 Oct 90 16:24:27 GMT References: <29358@pasteur.Berkeley.EDU> Lines: 18 >There is one general method of getting random variables given an arbitrary >distribution. It is known under the handy name of Metropolis-Rosenbluth- >-Rosenbluth-Teller-Teller-algorithm. >As such random numbers are very important for the numerical integration >of high-dimensional integrals (High meaning something of the order of 10^23 >dimensions) using Monte-Carlo methods, this algorithm should be described >in any text-book on numerical methods. I am having "Computational Physics" >by Steven E.Koonin here at hand. The algorithm is quite simple, really, >so if there is demand I can describe it to the net. > Carl Edman And this is why the patent by Pixar for stochastic sampling is so bogus: it is patenting theory that is already well-known and in the public domain. You can't patent EVERY APPLICATION of the same method. Michael McCool@dgp.toronto.edu