Further vectorizing a loop over bsxfun

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I have a vectorization problem that I cannot quite wrap my head around. I have a calculation that requires several parameter sweeps.
Basically, I need to element-wise multiply a matrix A of size m*n and B matrix of size m*p to obtain a matrix Y of size m*n*p. My solution so far is
for i=1:length(B)
Y(:,:,i)=bsxfun(@times,A,B(:,i));
end
This strikes me as unnecessary, surely there must be a way to generalize this to higher dimensions without using loops? Another solution I have cooked up uses repmat, but seems even less elegant.
I hope someone can point into the right direction :)
  3 个评论
Daniel Shub
Daniel Shub 2011-11-5
I am assuming your code is really i=1:size(B, 2), otherwise I get an error.
Niko
Niko 2011-11-5
Indeed, I made a mistake when reducing to a minimal working example. Thank you.

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采纳的回答

Andrei Bobrov
Andrei Bobrov 2011-11-5
bsxfun(@times,A,reshape(B,size(B,1),1,[]))
or
bsxfun(@times,A,permute(B,[1 3 2]))

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