Faster way to concatenate arrays with unknown size ?
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In my application, I have a huge for loop and at each iteration, I concatenate the 'result' array with the matrix obtained at the current loop. The function returns this 'result' array at the end of the for loop. Is there a way I can speed things up because concatenating seems very slow when the result array gets large enough. I won't know the final size of the array but I will know the size of the matrix at the current loop if that helps..
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Accepted Answer
Walter Roberson
on 7 Jul 2016
If you know the final data size then pre-allocate the output and store into the array as you go.
If you do not know the final data size then store the pieces in a cell array until the end (better yet if you can at least pre-allocate the cell array itself.) You can then cell2mat()
3 Comments
per isakson
on 7 Jul 2016
Edited: per isakson
on 7 Jul 2016
"know the maximum size it can take"  
One approach: Assume the result_array is  <kxm double>. Preallocate total_result as  <kxmxn double> where n is maximum number of loops that can occur.
total_result = zeros(k,m,n)
loop over huge number
total_result(:,:,jj) = result_array;
end
delete unused space of total_result
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