On 11/11/06, koara <[EMAIL PROTECTED]> wrote: > Hello, is there a way to do SVD of large sparse matrices efficiently in > python? All i found was scipy (little sparse support, no SVD), pysparse > (no SVD) and PROPACK (no python). Out of these, PROPACK seems the most > enticing choice, but i have no experience porting fortran code and this > seems too big a bite. Any pointers or suggestions are most welcome!
Numpy includes the program "f2py" for generating python wrappers for fortran code; it's not too difficult to use, even for a non-fortran programmer like me. If you do write wrappers, please send them to the scipy list - it's always good to build up the library. A. M. Archibald ------------------------------------------------------------------------- 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
