On Sun, Aug 24, 2008 at 12:16 PM, Michael <[EMAIL PROTECTED]> wrote: > > I have a polynomial system of 50 equations in 50 unknowns. I would > like > to numerically solve this system (I'm interested in complex zeros). > Seems to me that if I use sage's solve, it will sttempt to solve these > algebraically. > > Are there any funcitons in sage for solving a polynomial or non-linear > system > numerically.
You're probably going to want to use scipy.optimize. It has a large range of sophisticated numerical optimization routines. Maybe they can be used for what you want. I've hardly used them, so I can't easily say more -- hopefully somebody who has can. sage: import scipy scisagimport scipy.optimize sage: scipy.optimize. scipy.optimize.NumpyTest scipy.optimize.broyden2 scipy.optimize.fmin_ncg scipy.optimize.moduleTNC scipy.optimize.anderson scipy.optimize.broyden3 scipy.optimize.fmin_powell scipy.optimize.newton scipy.optimize.anderson2 scipy.optimize.broyden_generalized scipy.optimize.fmin_tnc scipy.optimize.nonlin scipy.optimize.anneal scipy.optimize.brute scipy.optimize.fminbound scipy.optimize.optimize scipy.optimize.approx_fprime scipy.optimize.check_grad scipy.optimize.fsolve scipy.optimize.ridder scipy.optimize.bisect scipy.optimize.cobyla scipy.optimize.golden scipy.optimize.rosen scipy.optimize.bisection scipy.optimize.fixed_point scipy.optimize.lbfgsb scipy.optimize.rosen_der scipy.optimize.bracket scipy.optimize.fmin scipy.optimize.leastsq scipy.optimize.rosen_hess scipy.optimize.brent scipy.optimize.fmin_bfgs scipy.optimize.line_search scipy.optimize.rosen_hess_prod scipy.optimize.brenth scipy.optimize.fmin_cg scipy.optimize.linesearch scipy.optimize.test scipy.optimize.brentq scipy.optimize.fmin_cobyla scipy.optimize.minpack scipy.optimize.tnc scipy.optimize.broyden1 scipy.optimize.fmin_l_bfgs_b scipy.optimize.minpack2 scipy.optimize.zeros --~--~---------~--~----~------------~-------~--~----~ To post to this group, send email to sage-support@googlegroups.com To unsubscribe from this group, send email to [EMAIL PROTECTED] For more options, visit this group at http://groups.google.com/group/sage-support URLs: http://www.sagemath.org -~----------~----~----~----~------~----~------~--~---
