[Numpy-discussion] my Numpy statements are slower than indexed formulations in some cases

[Rob]

I have a number of thse routines in some EM code.  I've tried to
Numpyize them, but end up with code that runs even slower.

Here is the old indexed routing:

----------------- 
for JJ in range(0,TotExtMetalEdgeNum):
    
    McVector+=Ccc[0:TotExtMetalEdgeNum,JJ] * VcVector[JJ]
----------------

Here is the Numpy version:

---------------------
McVector= add.reduce(transpose(Ccc[...] * VcVector[...]))
---------------------

I wonder if there is another faster way to do this?  Thanks,  Rob.

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