Article View: comp.lang.fortran
Article #4604Re: inverse matrix
From: Victor Eijkhout
Date: Mon, 11 Jan 1993 15:37
Date: Mon, 11 Jan 1993 15:37
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1887 bytes
In article <C0p5JD.M0L@news.udel.edu> mccalpin@perelandra.cms.udel.edu (John D. McCalpin) writes: In article <1993Jan8.201645.14915@news.eng.convex.com> dodson@convex.COM (Dave Dodson) writes: >I'd like to point out that it is almost never required or desirable to >compute the inverse of a matrix. Almost without exception, you can do >any computation in which you would use the inverse in a better way that >does not use the inverse. By 'better' I mean faster, uses less memory, >more accurate, etc. The direct use of the inverse matrix is generally the fastest way to solve a dense system of equations with multiple, consecutive right-hand-sides (as in a time-dependent fluid dynamics problem). Where do dense systems come from in fluid dynamics? Usually differential equations (partial or otherwise) give sparse matrices, and then calculating the inverse is at least a major waste of space. -- Victor Eijkhout ................................ `There are also a few bugs, Department of Computer Science .......... though not as many as I've come to University of Tennessee ............... expect in new [MS]Windows products.' Knoxville TN 37919 ................................ (from a software review)
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Path: arc1-ca.pugleaf.net!sparky!uunet!zaphod.mps.ohio-state.edu!darwin.sura.net!cs.utk.edu!cs.utk.edu!eijkhout From: eijkhout@cupid.cs.utk.edu (Victor Eijkhout) Newsgroups: comp.lang.fortran Subject: Re: inverse matrix Date: 11 Jan 93 15:37:58 Organization: /pearl/homes/eijkhout/.organization Lines: 23 Message-ID: <EIJKHOUT.93Jan11153758@cupid.cs.utk.edu> References: <C0I49C.Jrr@athena.cs.uga.edu> <93008.125409HDK@psuvm.psu.edu> <1993Jan8.201645.14915@news.eng.convex.com> <C0p5JD.M0L@news.udel.edu> NNTP-Posting-Host: cupid.cs.utk.edu In-reply-to: mccalpin@perelandra.cms.udel.edu's message of Mon, 11 Jan 1993 15:54:48 GMT