I have a sparse 5018x5018 matrix in MATLAB, which has about 100k values set to 1 (ie, about 99.6% empty).
I'm trying to flip roughly 5% of those zeros to ones (ie, about 1.25m entries). I have the x and y indices in the matrix I want to flip.
Here is what I have done:
sizeMat=size(network);
idxToReplace=sub2ind(sizeMat,x_idx, y_idx);
network(idxToReplace) = 1;
This is incredibly slow, in particular the last line. Is there any way to make this operation run noticeably faster, preferably without using mex files?
This should be faster:
idxToReplace=sparse(x_idx,y_idx,ones(size(x_idx),size(matrix,1),size(matrix,2)); % Create a sparse with ones at locations
network=network+idxToReplace; % Add the two matrices
I think your solution is very slow because you create a 1.26e6
logical array with your points and then store them in the sparse matrix. In my solution, you only create a sparse matrix and just sum the two.
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