#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:8 slabbe]:
 > I ran the one-liner test a little bit more systematically.

 Perfect.  Thanks!

 (I keep thinking I can go and try something, and then realize it probably
 won't fail on my machine.)

 The other thing to do would be try a 3 x 4 in pure numpy so there is no
 Sage involved, then I would say it is a numpy + compiler problem, though I
 guess Sage could be building something wrong.

 You could mimic the pure numpy above - just take a failing Sage example
 and replace the complex part by something of the form {{{6j}}}.

 Rob

-- 
Ticket URL: <http://trac.sagemath.org/sage_trac/ticket/11248#comment:9>
Sage <http://www.sagemath.org>
Sage: Creating a Viable Open Source Alternative to Magma, Maple, Mathematica, 
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