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Article #1229Re: Singular Value Decomposition
From: Kevin G. Rhoads
Date: Mon, 21 Jun 1999 00:00
Date: Mon, 21 Jun 1999 00:00
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931 bytes
In matrix inversion, nearly singular values result in rapid loss of precision in machine calculation. The SVD approach has been adapted to improving accuracy and precision in machine inversion of nearly-singular matrices. So you have a whole arena of machine-computation literature to check also. -- Kevin G. Rhoads, Ph.D. (Linearity is a convenient fiction.) T_Rhoads@NO_SPAM.MSN.com krhoads@NO_SPAM.cmpnetmail.com
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X-Google-Language: ENGLISH,ASCII-7-bit X-Google-Thread: 10d67e,fafc532a00d68a9f X-Google-Attributes: gid10d67e,public X-Google-Thread: 107079,fafc532a00d68a9f X-Google-Attributes: gid107079,public From: "Kevin G. Rhoads" <T_Rhoads@NoSpam.CLASSIC.MSN.COM> Subject: Re: Singular Value Decomposition Date: 1999/06/21 Message-ID: <01bebb6e$dace4360$c9cb6420@stupidwin95> X-Deja-AN: 492092812 References: <376C787E.939C192B@kings.uq.edu.au> Newsgroups: sci.math.num-analysis,aus.mathematics