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since 2007/10/24

OpenOpt online documentation


  • Optimization problems classes and solvers (examples of usage are provided as well) >>>

  • Handling non-linear functions with restricted dom (i.e. a subset of RnVars) >>>
  • Handling of badly-scaled problems via vectors p.scale or p.diffInt>>>
  • Result structure (r = p.solve(...)) fields >>>
  • Additional args for objFunc and/or nonlinear constraints >>>
  • Auto check of user-supplied 1st derivatives for objFunc and/or non-linear constraints c(x)<=0, h(x)=0 >>>
  • Example of solvers benchmark (with graphical output) >>>
  • User-defined callback functions >>>

  • Solver parameters modification >>>
  • oofun (OpenOpt Function, alternative way to describe non-linear optimization problems, similar to YALMIP) >>>