I want to solve a small (a few hundred variables) nonlinear optimization problem with constraints in Fedora. I've found the scipy optimization routines, but they are for unconstrained problems. And there are the coin-or routines (ipopt, etc.), but they are not easily accessible from python. Fedora doesn't package pyomo, which can access them, so I've installed it to --user, but it seems like overkill, so I'm still looking.
I would like something like pulp for linear programming; the closest I've found is pyOpt, and I like its interface, but it hasn't been maintained for 4 years, and it throws errors indicating that it might be incompatible with more recent versions of numpy (f2py) and multiarray. It can't find the shared libraries, compiled into python using f2py, of the fortran77 optimization routines it uses. So, before I go the pyomo route, does anyone have any recommendations for simple python accessible software that would do this in Fedora? Thanks. _______________________________________________ users mailing list -- users@lists.fedoraproject.org To unsubscribe send an email to users-le...@lists.fedoraproject.org
