How Can I replace the following for loop by vectorization?
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Alireza Barzegar
on 22 Nov 2016
Commented: Roger Stafford
on 24 Nov 2016
Hi Guys,
I have a set of large sparse matrices:
W ,size=(1,10,m)
V ,size=(10,1,m)
Y ,size=(10,10,n)
and I need the output matrix P as follow:
P(i,j)=W(:,:,i)*Y(:,:,j)*V(:,:,i)
e.g if m=2 & n=3
P=[
W(:,:,1)*Y(:,:,1)*V(:,:,1) W(:,:,1)*Y(:,:,2)*V(:,:,1);
W(:,:,1)*Y(:,:,2)*V(:,:,1) W(:,:,2)*Y(:,:,2)*V(:,:,2);
W(:,:,1)*Y(:,:,3)*V(:,:,1) W(:,:,2)*Y(:,:,3)*V(:,:,2)
]
I want to see if you have any suggestion how to write this by a single line code. I have written the code with "two for loop" but because of the large size of matrices, it is almost slow. Any faster idea is really appreciated.
Thank you in advance,
Alireza
2 Comments
Jan
on 22 Nov 2016
Please post your code and typical input data. It matters if m=1e3 and n=1e7 or the other way around. Perhaps your code is slow due to a forgotten pre-allocation.
What does "sparse" mean? Do the arrays contain a lot of zeros or do you sue the type sparse, which does not work for 3D-arrays?
Accepted Answer
Roger Stafford
on 23 Nov 2016
Edited: Roger Stafford
on 24 Nov 2016
Here's a single line code, but I'm not sure it's faster than, or even as fast as, your two nested for-loop solution:
Corrected:
P = (reshape(repmat(W,10,1,1).*repmat(V,1,10,1),[],m)).’*reshape(permute(Y,[2,1,3]),[],n);
5 Comments
Roger Stafford
on 24 Nov 2016
I'm glad to hear it. I was afraid it would be too slow. Sorry about the earlier error.
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