Path: utzoo!utgpu!news-server.csri.toronto.edu!rpi!zaphod.mps.ohio-state.edu!wuarchive!uunet!mcsun!hp4nl!cwi.nl!dik From: dik@cwi.nl (Dik T. Winter) Newsgroups: comp.arch Subject: Re: massive linpack Message-ID: <3654@charon.cwi.nl> Date: 9 Jun 91 01:42:40 GMT References: <9106080254.AA12624@ucbvax.Berkeley.EDU> Sender: news@cwi.nl Organization: CWI, Amsterdam Lines: 36 (It would simplify matters a bit if you clearly distinguish what you quote and what you write yourself. On occasion your answer comes immediately after a quoted paragraph, but you insert a blank line when quoting multiple paragraphs. Is that correct?) In article <9106080254.AA12624@ucbvax.Berkeley.EDU> jbs@WATSON.IBM.COM writes: > I suspect that the worst case bounds on error > estimation were not satisfactory. They are reasonable if you do backward error analysis, they tend to be very bad when doing forward error analysis. > If this does not happen then you are > certain to be ok. This problem is almost never seen in practice. There- > fore my statement about typical behavior. This is again considering backward error analysis. Yes, most numerical algebra literature is concerned with the backward analysis. > QR and SVD are used for solving least squares problems. SVD is a very good tool to solve a set of linear equations if: 1. the condition number is large. 2. the matrix is too large to be stored in memory. There may be more reasons. > Least > squares problems can be formulated as linear equations (the normal equa- > tions) but doing so unnecessarily increases the condition number. True, the condition number is squared. > As to credibility: If you want my credibility: I have been working in numerical algebra since 1968. Linear equations, eigenvalues, singular value decomposition etc. -- dik t. winter, cwi, amsterdam, nederland dik@cwi.nl