Keith Goodman wrote: > On 6/27/06, Dennis V. Perepelitsa <[EMAIL PROTECTED]> wrote: > > >> I've run some benchmarks comparing the performance of scipy, numpy, >> Numeric and numarray vs. MATLAB. >> > > I enjoyed looking at the results. > > The most interesting result, for me, was that inverting a matrix is > much faster in scipy than numpy. How can that be? I would have guessed > that numpy handled the inversion for scipy since numpy is the core. > > The two calls were scipy.linalg.inv(m) and numpy.linalg.inv(m). > NumPy uses Numeric's old wrapper to lapack algorithms.
SciPy uses it's own f2py-generated wrapper (it doesn't rely on the NumPy wrapper). The numpy.dual library exists so you can use the SciPy calls if the person has SciPy installed or the NumPy ones otherwise. It exists precisely for the purpose of seamlessly taking advantage of algorithms/interfaces that exist in NumPy but are improved in SciPy. -Travis Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642 _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
