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.


References in zbMATH (referenced in 457 articles )

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  1. Ahmadi, Amir Ali; Hall, Georgina: On the complexity of detecting convexity over a box (2020)
  2. Almeida Guimarães, Dilson; Salles da Cunha, Alexandre; Pereira, Dilson Lucas: Semidefinite programming lower bounds and branch-and-bound algorithms for the quadratic minimum spanning tree problem (2020)
  3. Arana-Jiménez, Manuel; Blanco, Víctor; Fernández, Elena: On the fuzzy maximal covering location problem (2020)
  4. Araujo, Janniele A. S.; Santos, Haroldo G.; Gendron, Bernard; Jena, Sanjay Dominik; Brito, Samuel S.; Souza, Danilo S.: Strong bounds for resource constrained project scheduling: preprocessing and cutting planes (2020)
  5. Aslan, Ayse; Bakir, Ilke; Vis, Iris F. A.: A dynamic Thompson sampling hyper-heuristic framework for learning activity planning in personalized learning (2020)
  6. Bayless, Sam; Kodirov, Nodir; Iqbal, Syed M.; Beschastnikh, Ivan; Hoos, Holger H.; Hu, Alan J.: Scalable constraint-based virtual data center allocation (2020)
  7. Bereg, Sergey; Mojica, Luis Gerardo; Morales, Linda; Sudborough, Hal: Constructing permutation arrays using partition and extension (2020)
  8. Beresnev, Vladimir; Melnikov, Andrey: (\varepsilon)-Constraint method for bi-objective competitive facility location problem with uncertain demand scenario (2020)
  9. Bhuiyan, Tanveer Hossain; Medal, Hugh R.; Harun, Sarah: A stochastic programming model with endogenous and exogenous uncertainty for reliable network design under random disruption (2020)
  10. Borgwardt, Steffen; Viss, Charles: An implementation of steepest-descent augmentation for linear programs (2020)
  11. Burlacu, Robert; Geißler, Björn; Schewe, Lars: Solving mixed-integer nonlinear programmes using adaptively refined mixed-integer linear programmes (2020)
  12. Çavdaroğlu, Burak; Atan, Tankut: Determining matchdays in sports league schedules to minimize rest differences (2020)
  13. Cea, Sebastián; Durán, Guillermo; Guajardo, Mario; Sauré, Denis; Siebert, Joaquín; Zamorano, Gonzalo: An analytics approach to the FIFA ranking procedure and the world cup final draw (2020)
  14. Costalonga, João Paulo: Toroidal boards and code covering (2020)
  15. De Santis, Marianna; Grani, Giorgio; Palagi, Laura: Branching with hyperplanes in the criterion space: the frontier partitioner algorithm for biobjective integer programming (2020)
  16. Fontecha, John E.; Guaje, Oscar O.; Duque, Daniel; Akhavan-Tabatabaei, Raha; Rodríguez, Juan P.; Medaglia, Andrés L.: Combined maintenance and routing optimization for large-scale sewage cleaning (2020)
  17. Gerault, David; Lafourcade, Pascal; Minier, Marine; Solnon, Christine: Computing AES related-key differential characteristics with constraint programming (2020)
  18. Grass, Emilia; Fischer, Kathrin; Rams, Antonia: An accelerated L-shaped method for solving two-stage stochastic programs in disaster management (2020)
  19. Grübel, Julia; Kleinert, Thomas; Krebs, Vanessa; Orlinskaya, Galina; Schewe, Lars; Schmidt, Martin; Thürauf, Johannes: On electricity market equilibria with storage: modeling, uniqueness, and a distributed ADMM (2020)
  20. Habibian, Mahbubeh; Downward, Anthony; Zakeri, Golbon: Multistage stochastic demand-side management for price-making major consumers of electricity in a co-optimized energy and reserve market (2020)

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