How to vectorize this code?

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UCL student
UCL student el 26 de Oct. de 2014
Comentada: UCL student el 27 de Oct. de 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 comentarios
Jan
Jan el 26 de Oct. de 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 el 27 de Oct. de 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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Respuestas (1)

Guillaume
Guillaume el 26 de Oct. de 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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