XPRESS

FICO Xpress is the premier mathematical modeling and optimization software suite in the world, with the best tools available to aid the development and deployment of optimization applications that solve real-world challenges. FICO Xpress helps organizations solve bigger problems, design applications faster and make even better decisions in virtually any business scenario. Xpress Optimization Suite includes two types of tools: model building and development tools, and solver engines.


References in zbMATH (referenced in 173 articles )

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  1. Helm, Werner E.; Justkowiak, Jan-Erik: Extension of Mittelmann’s benchmarks: comparing the solvers of SAS and Gurobi (2018)
  2. Lancia, Giuseppe; Serafini, Paolo: Compact extended linear programming models (2018)
  3. Zhou, Kai; Kılınç, Mustafa R.; Chen, Xi; Sahinidis, Nikolaos V.: An efficient strategy for the activation of MIP relaxations in a multicore global MINLP solver (2018)
  4. Balasubramaniam, Chitra; Butenko, Sergiy: On robust clusters of minimum cardinality in networks (2017)
  5. Harbering, Jonas: Delay resistant line planning with a view towards passenger transfers (2017)
  6. Juan F. Pérez; Daniel F. Silva; Julio C. Góez; Andrés Sarmiento; Andrés Sarmiento-Romero; Raha Akhavan-Tabatabaei; Germán Riaño: Algorithm 972: jMarkov: An Integrated Framework for Markov Chain Modeling (2017)
  7. Lima, Ricardo M.; Grossmann, Ignacio E.: On the solution of nonconvex cardinality Boolean quadratic programming problems: a computational study (2017)
  8. Lutter, Pascal; Degel, Dirk; Büsing, Christina; Koster, Arie M.C.A.; Werners, Brigitte: Improved handling of uncertainty and robustness in set covering problems (2017)
  9. Pelegrín, Mercedes; Pelegrín, Blas: Nash equilibria in location games on a network (2017)
  10. Toscano, Alyne; Rangel, Socorro; Yanasse, Horacio Hideki: A heuristic approach to minimize the number of saw cycles in small-scale furniture factories (2017)
  11. Toth, Csaba D. (ed.); Goodman, Jacob E. (ed.); O’Rourke, Joseph (ed.): Handbook of discrete and computational geometry (2017)
  12. Veremyev, Alexander; Prokopyev, Oleg A.; Pasiliao, Eduardo L.: Finding groups with maximum betweenness centrality (2017)
  13. Belotti, Pietro; Bonami, Pierre; Fischetti, Matteo; Lodi, Andrea; Monaci, Michele; Nogales-Gómez, Amaya; Salvagnin, Domenico: On handling indicator constraints in mixed integer programming (2016)
  14. Berthold, Timo; Farmer, James; Heinz, Stefan; Perregaard, Michael: Parallelization of the FICO Xpress-Optimizer (2016)
  15. Borndörfer, Ralf; Schenker, Sebastian; Skutella, Martin; Strunk, Timo: PolySCIP (2016)
  16. Buchheim, Christoph; De Santis, Marianna; Lucidi, Stefano; Rinaldi, Francesco; Trieu, Long: A feasible active set method with reoptimization for convex quadratic mixed-integer programming (2016)
  17. Cire, Andre A.; Hooker, John N.; Yunes, Tallys: Modeling with metaconstraints and semantic typing of variables (2016)
  18. Fischetti, Matteo; Lodi, Andrea; Monaci, Michele; Salvagnin, Domenico; Tramontani, Andrea: Improving branch-and-cut performance by random sampling (2016)
  19. Friberg, Henrik A.: CBLIB 2014: a benchmark library for conic mixed-integer and continuous optimization (2016)
  20. Greuel, Gert-Martin (ed.); Koch, Thorsten (ed.); Paule, Peter (ed.); Sommese, Andrew (ed.): Mathematical software -- ICMS 2016. 5th international conference, Berlin, Germany, July 11--14, 2016. Proceedings (2016)

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