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 215 articles , 1 standard article )

Showing results 1 to 20 of 215.
Sorted by year (citations)

1 2 3 ... 9 10 11 next

  1. Basso, S.; Ceselli, Alberto; Tettamanzi, Andrea: Random sampling and machine learning to understand good decompositions (2020)
  2. Agra, Agostinho; Cerdeira, Jorge Orestes; Requejo, Cristina: A computational comparison of compact MILP formulations for the zero forcing number (2019)
  3. Andrade, Tiago; Oliveira, Fabricio; Hamacher, Silvio; Eberhard, Andrew: Enhancing the normalized multiparametric disaggregation technique for mixed-integer quadratic programming (2019)
  4. Castro, Jordi; González, José A.: A linear optimization-based method for data privacy in statistical tabular data (2019)
  5. Furini, Fabio; Traversi, Emiliano; Belotti, Pietro; Frangioni, Antonio; Gleixner, Ambros; Gould, Nick; Liberti, Leo; Lodi, Andrea; Misener, Ruth; Mittelmann, Hans; Sahinidis, Nikolaos V.; Vigerske, Stefan; Wiegele, Angelika: QPLIB: a library of quadratic programming instances (2019)
  6. Horváth, Markó; Kis, Tamás: Computing strong lower and upper bounds for the integrated multiple-depot vehicle and crew scheduling problem with branch-and-price (2019)
  7. Molnár-Szipai, Richárd; Varga, Anita: Integrating combinatorial algorithms into a linear programming solver (2019)
  8. Salles da Cunha, Alexandre; Lucena, Abilio: Modeling and solving the angular constrained minimum spanning tree problem (2019)
  9. Veremyev, Alexander; Pavlikov, Konstantin; Pasiliao, Eduardo L.; Thai, My T.; Boginski, Vladimir: Critical nodes in interdependent networks with deterministic and probabilistic cascading failures (2019)
  10. Berthold, Timo; Farmer, James; Heinz, Stefan; Perregaard, Michael: Parallelization of the FICO Xpress-Optimizer (2018)
  11. Berthold, Timo; Hendel, Gregor; Koch, Thorsten: From feasibility to improvement to proof: three phases of solving mixed-integer programs (2018)
  12. Berthold, Timo; Perregaard, Michael; Mészáros, Csaba: Four good reasons to use an interior point solver within a MIP solver (2018)
  13. Helm, Werner E.; Justkowiak, Jan-Erik: Extension of Mittelmann’s benchmarks: comparing the solvers of SAS and Gurobi (2018)
  14. Huangfu, Q.; Hall, J. A. J.: Parallelizing the dual revised simplex method (2018)
  15. Lancia, Giuseppe; Serafini, Paolo: Compact extended linear programming models (2018)
  16. Lubin, Miles; Yamangil, Emre; Bent, Russell; Vielma, Juan Pablo: Polyhedral approximation in mixed-integer convex optimization (2018)
  17. Pavlikov, Konstantin; Uryasev, Stan: CVaR distance between univariate probability distributions and approximation problems (2018)
  18. Pinto, Bruno Q.; Ribeiro, Celso C.; Rosseti, Isabel; Plastino, Alexandre: A biased random-key genetic algorithm for the maximum quasi-clique problem (2018)
  19. Sáez-Aguado, Jesús; Trandafir, Paula Camelia: Variants of the (\varepsilon)-constraint method for biobjective integer programming problems: application to (p)-median-cover problems (2018)
  20. Sawik, Tadeusz: Supply chain disruption management using stochastic mixed integer programming (2018)

1 2 3 ... 9 10 11 next