Tim Hochberg wrote: > I just wanted to add that there are faster, but considerably complicated > ways to attack this class of problems. The one I've looked at in the > past was the fast multipole method and I believe there are others. I'm > not sure whether these can be implemented efficiently in numpy, but you > may want to take a look into this kind of more sophisticated/complicated > approach if brute forcing the calculation doesn't work.
<teaser> Idesbald Van den Bosch will be giving a talk at SciPy'06 on implementing FMM and the multilevel fast multipole algorithm (MLFMA) using SciPy and weave. http://www.scipy.org/SciPy2006 </teaser> -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco ------------------------------------------------------------------------- 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
