[SciPy-user] Gram-Schmidt orthogonalization
Nathan Bell
wnbell at gmail.com
Sun Nov 23 14:20:04 EST 2008
On Sun, Nov 23, 2008 at 2:14 PM, David Warde-Farley <dwf at cs.toronto.edu> wrote:
>
> Is there any particular advantage to using scipy.linalg.qr over
> numpy.linalg.qr? Is the former faster by virtue of Fortran?
>
I can't say offhand which would be better. In either case you'll want
the "economy" QR, the # of vectors you're orthogonalizing is smaller
than the length of the vector. This way you'll get a tall, skinny Q
as opposed to a square Q.
--
Nathan Bell wnbell at gmail.com
http://graphics.cs.uiuc.edu/~wnbell/
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