Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Path: utzoo!watmath!clyde!cbatt!ihnp4!inuxc!pur-ee!uiucdcs!uiucdcsm!mccaugh From: mccaugh@uiucdcsm.UUCP Newsgroups: comp.lang.c Subject: Re: math function speed Message-ID: <4700003@uiucdcsm> Date: Sat, 21-Feb-87 00:30:00 EST Article-I.D.: uiucdcsm.4700003 Posted: Sat Feb 21 00:30:00 1987 Date-Received: Mon, 23-Feb-87 02:26:17 EST References: <2050@ulysses.homer.nj.att.com> Lines: 16 Nf-ID: #R:ulysses.homer.nj.att.com:2050:uiucdcsm:4700003:000:876 Nf-From: uiucdcsm.cs.uiuc.edu!mccaugh Feb 20 23:30:00 1987 A numerical-analyst named McConnell makes chronic contributions to the APL Conference Proceedings...in particular, I believe the 1983 edition has an article by him definiteively addressing the "square-root" problem. It is really quite informative. Our own Prof. Gear presents a convincing strategy in his "Computer Organ- ization and Programming" (2nd edition) for speeding up square-root compu- tation on the IBM-360/370 (he presents the strategy without proof: I have a proof in case anyone is interested); not that it is necessarily optimal, but it is a "speed-up". No, Newton's (actually, Newton-Raphson's) Method is not "optimal": it only converges quadratically; for a really nice cubically-converging version, look at Franz's "Elements of Numerical Analysis". However, fewer itera- tions are bought at the price of more ocmputations per iteration.....