The following seems relevant in this thread.
On a Mac, OS X 10.4, I just rebuilt from SVN and got
compile options: '-Inumpy/core/src -Inumpy/core/include -I/Library/
Frameworks/Python.framework/Versions/2.5/include/python2.5 -c'
gcc: _configtest.c
_configtest.c: In function 'main':
_configtest.c
Le dimanche 14 septembre 2008 à 18:01 +0100, Robin a écrit :
> Hi,
>
> I am trying to compute the following (with summation convention):
>
> A_{ij} B_{jm} x_{j}
>
> where A and B are non-square arrays (in fact B=A^T) and x is a vector.
> I'm actually not sure if it's valid to have 3 summation in
Not a supper efficient solution, but mat sill may work:
dot(A, B*x[:,None])
or
dot(A*x, B)
Nadav
-הודעה מקורית-
מאת: [EMAIL PROTECTED] בשם Robin
נשלח: א 14-ספטמבר-08 20:01
אל: Discussion of Numerical Python
נושא: [Numpy-discussion] funny matrix product calculation
Hi,
I am trying
Hi,
I am trying to compute the following (with summation convention):
A_{ij} B_{jm} x_{j}
where A and B are non-square arrays (in fact B=A^T) and x is a vector.
I'm actually not sure if it's valid to have 3 summation indices as
above - but I'm pretty sure that's what I want... So it's kind of
ma
Hi,
I'm wondering if someone can give me a tip on how to modify my Python
type to work with certain arithmetic operations with ndarray. The
actual operation I would like is as follows:
ndarrayRef += myObj
where myObj is a reference to an object of a user defined Python type
(with array-ty
Hi,
On Sat, 2008-09-13 at 12:00 -0500, [EMAIL PROTECTED]
wrote:
> St?fan van der Walt wrote:
> > Hey all,
> >
> > David Kaplan implemented a generalised ogrid/mgrid, and would like
> to
> > have some feedback. See
> >
> >
> http://projects.scipy.org/pipermail/numpy-discussion/2008-August/036691.h
