Den 04.03.2011 14:55, skrev Sturla Molden:
We can do this with Python lists of NumPy arrays as well, avoiding
stacking the arrays in a 2D structure:
[np.dot(u,v.T) for u,v in zip(U,V)]
Damn it, bad style. Inner product, not outer...
[np.dot(u.T,v) for u,v in zip(U,V)]
or just
[np.dot(u,v) for u,v in zip(U,V)]
While it does not matter for 1D vectors, it would for rank 1 x n matrices.
Sturla
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