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 138 articles )

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  1. Balasubramaniam, Chitra; Butenko, Sergiy: On robust clusters of minimum cardinality in networks (2017)
  2. Lima, Ricardo M.; Grossmann, Ignacio E.: On the solution of nonconvex cardinality Boolean quadratic programming problems: a computational study (2017)
  3. Belotti, Pietro; Bonami, Pierre; Fischetti, Matteo; Lodi, Andrea; Monaci, Michele; Nogales-Gómez, Amaya; Salvagnin, Domenico: On handling indicator constraints in mixed integer programming (2016)
  4. Berthold, Timo; Farmer, James; Heinz, Stefan; Perregaard, Michael: Parallelization of the FICO Xpress-Optimizer (2016)
  5. Borndörfer, Ralf; Schenker, Sebastian; Skutella, Martin; Strunk, Timo: PolySCIP (2016)
  6. 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)
  7. Cire, Andre A.; Hooker, John N.; Yunes, Tallys: Modeling with metaconstraints and semantic typing of variables (2016)
  8. Fischetti, Matteo; Lodi, Andrea; Monaci, Michele; Salvagnin, Domenico; Tramontani, Andrea: Improving branch-and-cut performance by random sampling (2016)
  9. Friberg, Henrik A.: CBLIB 2014: a benchmark library for conic mixed-integer and continuous optimization (2016)
  10. 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)
  11. Horváth, Markó; Kis, Tamás: Solving resource constrained shortest path problems with LP-based methods (2016)
  12. Kumbartzky, Nadine; Werners, Brigitte: Optimising energy procurement for small and medium-sized enterprises (2016)
  13. Schilling, Andreas; Werners, Brigitte: Optimizing information security investments with limited budget (2016)
  14. Shinano, Yuji; Berthold, Timo; Heinz, Stefan: A first implementation of paraxpress: combining internal and external parallelization to solve MIPs on supercomputers (2016)
  15. Veremyev, Alexander; Prokopyev, Oleg A.; Butenko, Sergiy; Pasiliao, Eduardo L.: Exact MIP-based approaches for finding maximum quasi-cliques and dense subgraphs (2016)
  16. Berthold, Timo; Hendel, Gregor: Shift-and-propagate (2015)
  17. Brahimi, Nadjib; Absi, Nabil; Dauzère-Pérès, Stéphane; Kedad-Sidhoum, Safia: Models and Lagrangian heuristics for a two-level lot-sizing problem with bounded inventory (2015)
  18. Brahimi, Nadjib; Dauzère-Pérès, Stéphane: A Lagrangian heuristic for capacitated single item lot sizing problems (2015)
  19. Christoph Buchheim, Marianna De Santis, Stefano Lucidi, Francesco Rinaldi, Long Trieu: A Feasible Active Set Method with Reoptimization for Convex Quadratic Mixed-Integer Programming (2015) arXiv
  20. Dey, Santanu S.; Gupte, Akshay: Analysis of MILP techniques for the pooling problem (2015)

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