How to vectorize this code?

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UCL student
UCL student am 26 Okt. 2014
Kommentiert: UCL student am 27 Okt. 2014
I try to use bsxfun, but maybe it does not suit this purpose.
C = bsxfun(@function,A(AIterator),cell2mat(B(BIterator)))
A is n*6, where the iterator runs on n, and B is a cell with 3*3 doubles (length m). Thanks for the help.
  5 Kommentare
Jan
Jan am 26 Okt. 2014
I'm deeply confused. What is the meaning of:
The function calculates an array based on the 6; and 3*3 doubles.
?? Please post a minimal running example, which demonstrates your problem.
UCL student
UCL student am 27 Okt. 2014
So, simplified:
A = zeros(100,6);
B = zeros(3,3);
celll = cell(28);
for l = 1:28
celll{l} = B;
end
outM = cell(size(A,1),size(B,1));
for AIterator = 1:size(A,1)
for BIterator = 1:size(B,1);
outM{AIterator,BIterator} = blackboxfunc(A(AIterator,:), cell2mat(celll(BIterator)));
end
end
Blackboxfunc is unknown for me, I try to test how to call that (computational time). I even would like to test it using the gpu.

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Antworten (1)

Guillaume
Guillaume am 26 Okt. 2014
bsxfun can only return matrices, not cell arrays, and only operates on matrices as well. If your output has to be a cell array, you can't use bsxfun.
Without knowing more about function, the best that you could do is vectorise the inner loop with:
outM(AIterator, :) = cellfun(@(b) function(A(AIterator, :), cell2mat(b), B, 'UniformOutput', false);

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