[Numpy-discussion] tensor ops in dim > 3?
Dr. Dmitry Gokhman
gokhman at sphere.math.utsa.edu
Tue Aug 27 16:11:04 CDT 2002
I have a rank three n-dim tensor A. For two of the axes I want to perform
v^t A v (a quadratic form with scalar output, where v is a vector). The
final output should be a vector. I also need to compute the derivative of
this with respect to v. This involves symmetrizing and matrix-vector
multiplication (2 sym(A)v using two axes of A only, which gives a vector)
with the final result being a matrix.
Is there something elegant I can do short of extending numpy with fortrash
routines? Perhaps something like SciPy's 3-d tensor ops but for n-dim?
Thanks in advance for any tips, - d
PS One more dumb question: I just installed the ScientificPython-2.4.1 rpm
on my reincarnated Mandrake linux machine running python2.2. Do I need to
do something to configure it? My scripts aren't finding things (e.g.
indexing.py).
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