Article View: sci.math.num-analysis
Article #1226Singular Value Decomposition
From: Craig Armour
Date: Sun, 20 Jun 1999 00:00
Date: Sun, 20 Jun 1999 00:00
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1582 bytes
Hi, I need to write a paper on the use of Singular value Decomposition in numerical Algebra for numerical maths. The main problem I'm having is finding a paper or the sort which describes the svd w.r.t other algorithms interms of performance and various problems. I realise SVD's are great for overconditioned problmes, but how are they better than say a QR factorization. As far as I can figure, alot of algorithms use QR and the sort to compute the svd. what about w.r.t eigen value problems. In short, I have a lot of info telling me that SVD's are great for overconditioned systems and least squares but not much else. Is this the only use of SVD's? for least squares style problems??? Cheers Craig -- Craig Armour c.armour@cltr.uq.edu.au System Administrator Joyce Ackroyd Building Language Lab, University of Queensland phone 33656916 Comments are my own and not of my employer
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X-Google-Language: ENGLISH,ASCII-7-bit X-Google-Thread: 107079,fafc532a00d68a9f,start X-Google-Attributes: gid107079,public X-Google-Thread: 10d67e,fafc532a00d68a9f,start X-Google-Attributes: gid10d67e,public From: Craig Armour <c.armour@kings.uq.edu.au> Subject: Singular Value Decomposition Date: 1999/06/20 Message-ID: <376C787E.939C192B@kings.uq.edu.au> X-Deja-AN: 491628089 Content-Transfer-Encoding: 7bit X-Accept-Language: en Content-Type: text/plain; charset=us-ascii Organization: University of Queensland Mime-Version: 1.0 Reply-To: c.armour@uq.net.au Newsgroups: sci.math.num-analysis,aus.mathematics