MATLAB: Compare loops and matrix computation.

loop; matrix

Hi, all,

I recently found that Matlab executes matrix/vector computation pretty fast than scalar computation with loops. For example, if I used loops to execute algorithm, it is very slow. If I convert it to vector or matrix, it is faster.

I was told about this fact before, is there any explanation on it?

The bad thing is that you cannot always use matrix to replace loops…

Thanks.

Best Answer

This has some good information on the topic:

http://www.mathworks.com/help/matlab/matlab_prog/vectorization.html

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nn=sparse(NG,N);
k=1:N;
nn(sub2ind([NG,N],a(k),k'))=b(k);
%Timing for NG = 10000 and N = 10000
%Elapsed time is 0.103679 seconds. -> with the for loop 
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