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- free MATLAB toolbox for rapid prototyping of optimization problems. The package initially aimed ... second order cone programming, semidefinite programming, non-convex semidefinite programming, mixed integer programming, multi-parametric...
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- optimization problems: the first one consists of obtaining an approximate solution of some discretized convex ... second one requires to solve a non-convex optimization problem involving the parametric constraints...
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- several hundreds to some thousands of optimization variables. MIDACO implements a derivative-free, heuristic algorithm ... contain critical function properties such as non-convexity, discontinuities or stochastic noise. For cpu-time...
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- algorithm and to guarantee global optimlity for convex problems. A mixed-integer linear programming master ... determine a lower bound. Afterwards, a nonlinear optimization program is generated to improve the best ... non-convex and non-relaxable nonlinear mixed-integer programs, but without guaranteeing global optimality...
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- representation called LinAIGs. LinAIGs represent (possibly non-convex) polyhedra extended by Boolean variables. Key components ... Satisfiability Modulo Theories) solvers. Constraint minimization optimizes polyhedra by exploiting the fact that states already...
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- multiobjective optimization (e.g. concept of Edgeworth-Pareto efficiency). Solving special classes of non-convex single...
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- enjoy the superior statistical property of non-convex penalty such as SCAD and MCP which ... convex penalty such as lasso and ridge. Computation is handled by multi-stage convex relaxation ... unique sparse local optimum with optimal statistical properties. The computation is memory-optimized using...
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- KNITRO is a solver for nonlinear optimization. It...
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- LANCELOT. A Fortran package for large-scale nonlinear...
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