GLPK

The GLPK (GNU Linear Programming Kit) package is intended for solving large-scale linear programming (LP), mixed integer programming (MIP), and other related problems. It is a set of routines written in ANSI C and organized in the form of a callable library. GLPK supports the GNU MathProg modeling language, which is a subset of the AMPL language. The GLPK package includes the following main components: primal and dual simplex methods, primal-dual interior-point method, branch-and-cut method, translator for GNU MathProg, application program interface (API), stand-alone LP/MIP solver


References in zbMATH (referenced in 164 articles )

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  1. Costalonga, João Paulo: Toroidal boards and code covering (2020)
  2. Delanoue, Nicolas; Lhommeau, Mehdi; Lagrange, Sébastien: Nonlinear optimal control: a numerical scheme based on occupation measures and interval analysis (2020)
  3. García Soto, Miriam; Prabhakar, Pavithra: Abstraction based verification of stability of polyhedral switched systems (2020)
  4. Kloetzer, Marius; Mahulea, Cristian: Path planning for robotic teams based on LTL specifications and Petri net models (2020)
  5. Bojarski, Jacek; Kisielewicz, Andrzej Piotr; Przesławski, Krzysztof: Nearly neighbourly families of standard boxes (2019)
  6. Ferrier, R.; Kadri, M. L.; Gosselet, P.: Planar crack identification in 3D linear elasticity by the reciprocity gap method (2019)
  7. Francesco Farina, Andrea Camisa, Andrea Testa, Ivano Notarnicola, Giuseppe Notarstefano: DISROPT: a Python Framework for Distributed Optimization (2019) arXiv
  8. Métivier, Ludovic; Brossier, R.; Mérigot, Q.; Oudet, E.: A graph space optimal transport distance as a generalization of (L^p) distances: application to a seismic imaging inverse problem (2019)
  9. Vidali, Janoš: Computing distance-regular graph and association scheme parameters in \textttSageMathwith \textttsage-\textttdrg (2019)
  10. Wenzel, Simon; Misz, Yannik-Noel; Rahimi-Adli, Keivan; Beisheim, Benedikt; Gesthuisen, Ralf; Engell, Sebastian: An optimization model for site-wide scheduling of coupled production plants with an application to the ammonia network of a petrochemical site (2019)
  11. Convolbo, Moïse W.; Chou, Jerry; Hsu, Ching-Hsien; Chung, Yeh Ching: GEODIS: towards the optimization of data locality-aware job scheduling in geo-distributed data centers (2018)
  12. Desdouits, Chloé; Alamir, Mazen; Giroudeau, Rodolphe; Le Pape, Claude: A method for the energy optimization of a multisource elevator (2018)
  13. Dumnicki, M.; Harrer, D.; Szpond, J.: On absolute linear Harbourne constants (2018)
  14. Gurski, Frank; Rethmann, Jochen: Distributed solving of mixed-integer programs with GLPK and Thrift (2018)
  15. Kubota, K.: Enumeration of subdifferentials of piecewise linear functions with ABS-normal form (2018)
  16. Lancia, Giuseppe; Serafini, Paolo: Compact extended linear programming models (2018)
  17. Liang, Shuhan; Lu, Wenbin; Song, Rui; Wang, Lan: Sparse concordance-assisted learning for optimal treatment decision (2018)
  18. Manlove, David; Milne, Duncan; Olaosebikan, Sofiat: An integer programming approach to the student-project allocation problem with preferences over projects (2018)
  19. Megahed, Aly; Goetschalckx, Marc: Tactical supply chain planning under uncertainty with an application in the wind turbines industry (2018)
  20. Merabet, Massinissa; Molnar, Miklos; Durand, Sylvain: ILP formulation of the degree-constrained minimum spanning hierarchy problem (2018)

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