Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Posting-Version: version B 2.10.3 4.3bsd-beta 6/6/85; site ucbvax.BERKELEY.EDU Path: utzoo!watmath!clyde!burl!ulysses!ucbvax!brahms!weemba From: weemba@brahms.BERKELEY.EDU (Matthew P. Wiener) Newsgroups: net.math,net.micro,net.micro.pc Subject: Re: simplex algorithsm for curve fitting---any disadvantage ?? Message-ID: <11800@ucbvax.BERKELEY.EDU> Date: Tue, 11-Feb-86 09:29:53 EST Article-I.D.: ucbvax.11800 Posted: Tue Feb 11 09:29:53 1986 Date-Received: Thu, 13-Feb-86 00:54:15 EST References: <1217@princeton.UUCP> Sender: usenet@ucbvax.BERKELEY.EDU Reply-To: weemba@brahms.UUCP (Matthew P. Wiener) Distribution: net Organization: University of California, Berkeley Lines: 16 Xref: watmath net.math:2830 net.micro:13771 net.micro.pc:6921 In article <1217@princeton.UUCP> wei@princeton.UUCP (P Wei) writes: >I recently ported the curve fitting program, listed on BYTE 1984 May p.340, >onto ibmpc using TURBO Pascal. >The authors claimed that the program could fit *any* equation with *any* >number of parameters and variables to experimental data. >Now, I am wondering if there is any disvantage or potential problems in this >algorithsm ??? (Up to now, we haven't met any problem yet--- Is it panacea?? >Thanks in advance . >HP Wei (wei@princeton) I don't know the algorithm, but the claim is garbage. It is impossible to fit for a,b,c,d from data points to the function y=a*exp(b*x)+c*exp(d*x). The fitting process here is completely unstable. (I believe this example is due to Wilkinson in the late 1950s.) ucbvax!brahms!weemba Matthew P Wiener/UCB Math Dept/Berkeley CA 94720