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SVD
12-15-2013, 10:04 AM
Post: #7
RE: SVD
The current algorithm covered only square real matrices (as you can guess, implementing numeric algorithms is not my main business, and giac/xcas uses LAPACK for svd, therefore it was only required here), svd was also sometimes able to return an answer for rectangular matrices. I'm improving it, it will handle rectangular real or complex matrices that are well conditionned (0 or small singular values will not be handled, I'm not writing a dedicated numerical algorithm for that, just reusing existing routines).
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Messages In This Thread
SVD - jgreenb2 - 12-13-2013, 08:17 PM
RE: SVD - Mark Hardman - 12-13-2013, 08:40 PM
RE: SVD - Mark Hardman - 12-13-2013, 09:16 PM
RE: SVD - jgreenb2 - 12-13-2013, 09:34 PM
RE: SVD - Mark Hardman - 12-13-2013, 09:44 PM
RE: SVD - jgreenb2 - 12-13-2013, 10:03 PM
RE: SVD - parisse - 12-15-2013 10:04 AM
RE: SVD - jgreenb2 - 12-15-2013, 03:42 PM
RE: SVD - parisse - 12-16-2013, 09:22 AM



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