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 156 articles )

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  1. Bojarski, Jacek; Kisielewicz, Andrzej Piotr; Przesławski, Krzysztof: Nearly neighbourly families of standard boxes (2019)
  2. Francesco Farina, Andrea Camisa, Andrea Testa, Ivano Notarnicola, Giuseppe Notarstefano: DISROPT: a Python Framework for Distributed Optimization (2019) arXiv
  3. Kronqvist, Jan; Bernal, David E.; Lundell, Andreas; Grossmann, Ignacio E.: A review and comparison of solvers for convex MINLP (2019)
  4. 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)
  5. 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)
  6. Desdouits, Chloé; Alamir, Mazen; Giroudeau, Rodolphe; Le Pape, Claude: A method for the energy optimization of a multisource elevator (2018)
  7. Dumnicki, M.; Harrer, D.; Szpond, J.: On absolute linear Harbourne constants (2018)
  8. Gurski, Frank; Rethmann, Jochen: Distributed solving of mixed-integer programs with GLPK and Thrift (2018)
  9. Kubota, K.: Enumeration of subdifferentials of piecewise linear functions with ABS-normal form (2018)
  10. Lancia, Giuseppe; Serafini, Paolo: Compact extended linear programming models (2018)
  11. Liang, Shuhan; Lu, Wenbin; Song, Rui; Wang, Lan: Sparse concordance-assisted learning for optimal treatment decision (2018)
  12. Manlove, David; Milne, Duncan; Olaosebikan, Sofiat: An integer programming approach to the student-project allocation problem with preferences over projects (2018)
  13. Megahed, Aly; Goetschalckx, Marc: Tactical supply chain planning under uncertainty with an application in the wind turbines industry (2018)
  14. Merabet, Massinissa; Molnar, Miklos; Durand, Sylvain: ILP formulation of the degree-constrained minimum spanning hierarchy problem (2018)
  15. Abdelaati Daouia and Thibault Laurent and Hohsuk Noh: npbr: A Package for Nonparametric Boundary Regression in R (2017) not zbMATH
  16. Bertsimas, Dimitris; King, Angela: Logistic regression: from art to science (2017)
  17. Bouzid, Mouaouia Cherif; Aït Haddadene, Hacene; Salhi, Said: An integration of Lagrangian split and VNS: the case of the capacitated vehicle routing problem (2017)
  18. Cervantes, Víctor H.; Dzhafarov, Ehtibar N.: Advanced analysis of quantum contextuality in a psychophysical double-detection experiment (2017)
  19. Deb, Kalyanmoy; Myburgh, Christie: A population-based fast algorithm for a billion-dimensional resource allocation problem with integer variables (2017)
  20. Gerber, Samuel; Maggioni, Mauro: Multiscale strategies for computing optimal transport (2017)

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