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- 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
-
- 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)
-