Are there going to be any API incompatibilities going to be introduced by this move? That is, will existing code written against RDF and CDF matrices still "just work"?
On Sat, May 10, 2008 at 6:41 PM, Jason Grout <[EMAIL PROTECTED]> wrote: > > Currently CDF and RDF matrices wrap GSL matrices and use GSL algorithms > for part of the computations. After talking with a few lead developers > on IRC, it seems that the consensus is that numpy is generally better > and has a much, much stronger community. What do people think of moving > the RDF and CDF matrices to a numpy backend? > > > If we do this, then I think that much of the code in RDF and CDF becomes > simple calls to numpy, and the current functions that fall back to > generic algorithms (like inverse()) also become easy calls to numpy > functions which do proper numerical linear algebra. > > Josh, apparently you did lots of work in this area; I'm particularly > interested in hearing your comments. > > Thanks, > > Jason > > > > > --~--~---------~--~----~------------~-------~--~----~ To post to this group, send email to [email protected] To unsubscribe from this group, send email to [EMAIL PROTECTED] For more options, visit this group at http://groups.google.com/group/sage-devel URLs: http://www.sagemath.org -~----------~----~----~----~------~----~------~--~---
