Python - Numpy matrix multiplication

Question

I am trying to optimize (memorywise the multiplication of X and its transpose X'

Does anyone know if numpys matrix multiplication takes into consideration that X' is just the transpose of X. What I mean is that if it detects this and therfore does not create the object X' but just works on the cols/rows of X to produce the product? Thank you for any help on this!

J.

look in to numpy views. scipy-lectures.github.com might be a good reference. — tacaswell
– tacaswell, Commented Aug 29, 2012 at 19:33
Depending on the application, you may also be able to get by with numpy.cov(X), which I assume is well-optimized, instead of computing XX' explicitly. — bnaul
– bnaul, Commented Aug 29, 2012 at 19:39

Pierre GM · Accepted Answer · 2012-08-29 19:34:43Z

3

In numpy convention, the transpose of X is represented byX.T and you're in luck, X.T is just a view of the original array X, meaning that no copy is done.

answered Aug 29, 2012 at 19:34

Pierre GM

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