Gurobi
GUROBI OPTIMIZER: State of the Art Mathematical Programming Solver. The Gurobi Optimizer is a state-of-the-art solver for mathematical programming. It includes the following solvers: linear programming solver (LP), quadratic programming solver (QP), quadratically constrained programming solver (QCP), mixed-integer linear programming solver (MILP), mixed-integer quadratic programming solver (MIQP), and mixed-integer quadratically constrained programming solver (MIQCP). The solvers in the Gurobi Optimizer were designed from the ground up to exploit modern architectures and multi-core processors, using the most advanced implementations of the latest algorithms. To help set you up for success, the Gurobi Optimizer goes beyond fast and reliable solution performance to provide a broad range of interfaces, access to industry-standard modeling languages, flexible licensing together with transparent pricing, and outstanding, easy to reach, support.
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References in zbMATH (referenced in 269 articles )
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Sorted by year (- Abdallah, L.; Haddou, M.; Migot, T.: Solving absolute value equation using complementarity and smoothing functions (2018)
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- Delfino, A.; de Oliveira, W.: Outer-approximation algorithms for nonsmooth convex MINLP problems (2018)
- Diamond, S.; Takapoui, R.; Boyd, S.: A general system for heuristic minimization of convex functions over non-convex sets (2018)
- Espuny-Pujol, Ferran; Morrissey, Karyn; Williamson, Paul: A global optimisation approach to range-restricted survey calibration (2018)
- Fairbrother, Jamie; Letchford, Adam N.; Briggs, Keith: A two-level graph partitioning problem arising in mobile wireless communications (2018)
- Fink, Andreas (ed.); Fügenschuh, Armin (ed.); Geiger, Martin Josef (ed.): Operations research proceedings 2016. Selected papers of the annual international conference of the German Operations Research Society (GOR), Helmut Schmidt University Hamburg, Germany, August 30 -- September 2, 2016 (2018)
- Framinan, Jose M.; Perez-Gonzalez, Paz: Order scheduling with tardiness objective: improved approximate solutions (2018)