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How can I improve the speed of the following code
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This is the .m file here.
4 commentaires
Jan
le 20 Août 2018
@Hassan: Your idea sounds perfect: Omit the cells, if you do not need them. Cells are required, if the stores arrays have different types are sized. Is this true in your case? "in every cell, I have either a 3 by 3 matrix of a 3 by 1 vector" is not clear.
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OCDER
le 20 Août 2018
I see you're using a lot of cellfun and nested for loops. By NOT using cell arrays, you could just vectorized math it seems. cellfun could be slower than normal for loops. Also, with normal for loop on cell arrays, you could convert to parfor loop. But try parfor last.
EXAMPLE:
a = rand(200);
b = rand(200);
A = num2cell(a);
B = num2cell(b);
tic
c = a.*b;
toc %0.0102 s
tic
C = cellfun(@times, A, B, 'un', 0);
toc %0.0670 s
tic
D = cell(size(A));
for j = 1:numel(A) %could be parfor j = 1:numel(A)
D{j} = A{j}*B{j};
end
toc %0.0459 s
Use cellfun for doing simple stuff like cellfun('isempty', X). Note that using the function handle "@" in cellfun is much slower.
X = num2cell(rand(200));
tic; cellfun(@isempty, X) ; toc; %0.0340 s
tic; cellfun('isempty', X); toc; %0.0005 s
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