#9011: the numpy SVD decomposition docstring is wrong
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Reporter: was | Owner: jason, was
Type: defect | Status: new
Priority: minor | Milestone: sage-4.6.2
Component: linear algebra | Keywords:
Author: | Upstream: N/A
Reviewer: | Merged:
Work_issues: |
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Comment(by rbeezer):
Replying to [comment:3 jason]:
> Remember that multiplication of numpy arrays is *not* matrix
multiplication. Matrix multiplication is through np.dot().
Yes, the stars in the `NumPy` docs caught me out.
> Note that by default, full_matrices is True, though, so you'd have to do
something like the first example in the numpy docs:
http://docs.scipy.org/doc/numpy/reference/generated/numpy.linalg.svd.html#numpy.linalg.svd
But I was on top of this. I'd still call the factorization given
initially a bit misleading, but perhaps not so bad. Thanks for the
clarifications.
Rob
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Ticket URL: <http://trac.sagemath.org/sage_trac/ticket/9011#comment:4>
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