Hi, I have a specific quantity to derive from an array, and I am at the moment unable to do it for a too large array because it just takes too long! So I am looking for an advice on how to efficiently compute such a quantity:
I have 3 arrays of N floats (x[...], y[..], z[..]) and I wish to do: result = 0. for i in range(N) : for j in range(i+1,N,1) : result += 1. / sqrt((x[j] - x[i])**2 + (y[j] - y[i])**2 + (z[j] - z[i])**2) Of course the procedure written above is very inefficient and I thought of doing: result = 0. for i in range(N) : result += 1. / sqrt((x[i+1:] - x[i])**2 + (y[i+1:] - y[i])**2 + (z[i+1:] - z[i])**2) Still, this is quite slow and not workable for very large arrays (> 10^6 floats per array). Any hint on how to speed things up here? Thanks in advance! Eric ------------------------------------------------------------------------- Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT & business topics through brief surveys -- and earn cash http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion