Re: SingularValueDecomposition bug: fifty examples
- To: mathgroup at smc.vnet.net
- Subject: [mg61183] Re: SingularValueDecomposition bug: fifty examples
- From: John Sidles <sidles at u.washington.edu>
- Date: Wed, 12 Oct 2005 01:42:08 -0400 (EDT)
- References: <200510060745.DAA08051@smc.vnet.net>
- Sender: owner-wri-mathgroup at wolfram.com
Dear MathGroup folks Per my exploration of errors in SingularValueDecomposition[], the directory: http://faculty.washington.edu/sidles/mma_svd_failure_example/ contains an updated tarball whose contents are summarized in the PDF file "readme_v4.0.pdf". The new findings include: (1) SingularValueDecomposition[] is shown to fail on both G4 and G5 computers. However, the patterns of failure are slightly different for the two architectures. Reason unknown. (2) Formerly, the only examples of SVD failure in Mathematica were of Hermitian matrices. Now, the tarball includes examples of failing non-Hermitian matrices. These are generated by randomly permuting the rows and columns of the failing Hermitian matrices. One plausible explanation might be that Mathematica's implementation does not set LAPACK's machine precision parameters (which determine convergence) quite right for the new 64-bit archtecture of the G4 and G5. This would be easy to fix. This concludes my posting on this topic until December, which will be the earliest time that I can further investigate this topic. Hopefully, by then Wolfram Research will have fixed the problem! Sincerely ... John Sidles
- Follow-Ups:
- Re: Re: SingularValueDecomposition bug: fifty examples
- From: Bruce Miller <brucem@wolfram.com>
- Re: Re: SingularValueDecomposition bug: fifty examples