#11248: SVD matrix decomposition may return a non-invertible "unitary" matrix
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Reporter: rbeezer | Owner: jason, was
Type: defect | Status: new
Priority: major | Milestone: sage-4.7
Component: linear algebra | Keywords:
Work_issues: | Upstream: N/A
Reviewer: | Author:
Merged: | Dependencies:
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Comment(by rbeezer):
Replying to [comment:6 slabbe]:
> I just ran the one-liner thousands of time and always get True:
Very curious! I do not recall there being anything special about the
example I built for the doctest, so I would think maybe there would be
some failures on machines with "problems."
> I also tried dimensions 8 by 16. Do you want me to test something else?
There was not really anything special about 4 x 8, just wanted the
dimensions to be different from each other. One failing example is 4 by
5. Could you try 1000 random 4 x 5's?
If you do get failures, than maybe try 3 x 4, or 5 x 6, or 5 x 4, or ....
At this point, I really do not have any idea where the problem may be and
it would be good to send a real precise report to the numpy/scipy group.
Rob
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Ticket URL: <http://trac.sagemath.org/sage_trac/ticket/11248#comment:7>
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