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  • NLPSOLVER:  a collection of SQP methods implemented in MatLab(R) at our chair. They attempt to find a (local) minimum of a continuously differentiable nonlinear objective function of several variables with respect to continuously differentiable (non-)linear inequality and equality constraints. For more information see README.txt.
  • GOSOLVER: a collection of Branch-and-Bound methods implemented in MatLab(R) at our chair. They attempt to find a global minimum of an at least once continuously differentiable nonlinear objective function of several variables with respect to box and nonlinear inequality constraints. For more information see README.txt.
  • SIPSOLVER: a collection of adaptive solvers for semi-infinite optimization problems developed and implemented in MatLab(R) at our chair. A main feature of the implemented solvers is that each iterate is feasible for the given semi-infinite problem. For more information see README.txt.