[SciPy-user] Gram-Schmidt orthogonalization
Sun Nov 23 13:20:04 CST 2008
On Sun, Nov 23, 2008 at 2:14 PM, David Warde-Farley <firstname.lastname@example.org> 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 email@example.com
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