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From OpenOpt

OpenOpt Framework

• Free (license: BSD) cross-platform (Linux, Windows, Mac etc) software, written in modern high-stream Python language, alternative to commercial frameworks with obsolete and/or banausic programming constructs like AMPL, GAMS, LINGO, AIMMS, TOMOPT's TOMLAB / TOMNET (see for example TOMLAB users and prices)
• Primary goals:
  • providing connections to lots of solvers, e.g. IPOPT, cplex, algencan, glpk, lpsolve, CVXOPT, PSwarm, nlopt, BOBYQA, lbfgsb (some are C- or Fortran-written) with easy and unified syntax
  • trying to enhance algorithms for numerical optimization invented by Ukrainian academicians Boris Pshenichniy and Naum Z. Shor
• Organized as an ordinary Python module, thus you can easily stack it with NumPy arrays, SciPy sparse matrices and other Python functions and code
• Graphical output, automatic derivatives check for user-supplied objFunc and constraints, user-defined callback functions and much more
• Capable of handling FuncDesigner code with Automatic differentiation (possibly large-scale sparse) for gradient-based solvers and interval analysis for interalg solver
• Some native solvers (Python-written, well-known Python library NumPy is required), constrained and unconstrained, e.g.
  • nonlinear/nonsmooth solvers ralg, gsubg, amsg2p
  • global nonlinear solver de (differential evolution)
  • global nonlinear solver with specifiable accuracy: interalg

Now interalg can find all solutions of nonlinear equation(s) and perform numerical integration with specifiable accuracy

• some other linear and quadratic solvers code is included

Made by Dmitrey

See also:

• DerApproximator - finite-differences derivatives approximation
• SpaceFuncs - 2D, 3D, N-dimensional geometric modeling with possibilities of parametrized calculations, numerical optimization and solving systems of geometrical equations