I want to create a 3D matrix by multiplying all the elements in a 2d matrix by all the elements in a vector to give a 3d matrix.
I initially used this: x=3; y=3; z=4;
flat = [1,2,3;4,5,6;7,8,9]; deep = [1,2,3,4]'; field=zeros(3,3,4);
tic for i=1:x for j=1:y field(i,j,:)=flat(i,j)*deep; end end toc Elapsed time is 0.000027 seconds.
but thought I could speed it up if I replaced the loop with:
tic for i=1:z field(:,:,i) = flat(:,:)*deep(i); end toc
Elapsed time is 0.000202 seconds. However, the first method with more loop iterations proved faster. Can anyone explain why and more importantly is there a better, more effieint method than either of these?
For larger data, you'll probably find this version the most efficient
field = bsxfun(@times, flat, reshape(deep,1,1,) );
However, the first method with more loop iterations proved faster.
First, the data is way too small for this to be a good test of anything. However, I think the main reason the 2nd version is slower is because you are indexing flat(:,:) unnecessarily. When I modify to
field(:,:,i) = flat*deep(i);
the 2nd version becomes faster for me.
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