Further to the post I wrote on the MKL performance improvement on NumPy, I have tried to get some figures comparing it to Matlab. Here are some results. Any suggestion to improve the comparison is welcome. I will update it with the different values I do collect. Here is the Matlab script I used to compare the Python code : disp('Eig');tic;data=rand(500,500);eig(data);toc; disp('Svd');tic;data=rand
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