Hi,
First of all excuse me if this is a trivial question. I have the feeling it is,
but searching and looking through the docs has proven unsuccesful so far.
I have an ndarray A of shape (M,2,2) representing M 2 x 2 matrices. Now I want
to apply a transform T of shape (2,2) to each of matrix. The way I do this now
is by iterating over all rows of A multiplying the matrices using numpy.dot():
for row in np.arange(A.shape[0]):
A[row] = np.dot(A[row],T)
but this seems to be slow when M is large and I have the feeling there must be a
way of doing it better.
Thanks,
jorges
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