Hello,
I have two lists of numpy matrices : LM = [M_i, i=1..N] and LN = [N_i, i =1..N]
and I would like to compute the list of the products : LP = [M_i * N_i,
i=1..N].
I can do :
P=[]
for i in range(N) :
P.append(LM[i]*LN[i])
But this is not vectorized. Is there a faster solution ?
Can I vectorize this operation ? How ?
Will it be more efficient than the code above ?
Thank you for your help,
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