GLOPTLAB

GLOPTLAB: a configurable framework for the rigorous global solution of quadratic constraint satisfaction problems. Global Optimization Laboratory is an easy-to-use testing and development platform for solving quadratic constraint satisfaction problems, written in Matlab. All implemented methods are rigorous, hence it is guaranteed that no feasible point is lost. As the name suggests GloptLab will solve otimization problems but in the current release this feature is not yet available.


References in zbMATH (referenced in 12 articles , 1 standard article )

Showing results 1 to 12 of 12.
Sorted by year (citations)

  1. Boukouvala, Fani; Misener, Ruth; Floudas, Christodoulos A.: Global optimization advances in mixed-integer nonlinear programming, MINLP, and constrained derivative-free optimization, CDFO (2016)
  2. Domes, Ferenc; Neumaier, Arnold: Constraint aggregation for rigorous global optimization (2016)
  3. Domes, Ferenc; Neumaier, Arnold: Rigorous verification of feasibility (2015)
  4. Hannes Fendl, Hermann Schichl: A feasible second order bundle algorithm for nonsmooth nonconvex optimization problems with inequality constraints: II. Implementation and numerical results (2015) arXiv
  5. Goldsztejn, Alexandre; Domes, Ferenc; Chevalier, Brice: First order rejection tests for multiple-objective optimization (2014)
  6. Misener, Ruth; Floudas, Christodoulos A.: GLOMIQO: global mixed-integer quadratic optimizer (2013)
  7. Domes, Ferenc; Neumaier, Arnold: Rigorous filtering using linear relaxations (2012)
  8. Domes, Ferenc; Neumaier, Arnold: Constraint propagation on quadratic constraints (2010)
  9. Revol, Nathalie: Standardized interval arithmetic and interval arithmetic used in libraries (2010)
  10. Domes, Ferenc: GLOPTLAB: a configurable framework for the rigorous global solution of quadratic constraint satisfaction problems (2009)
  11. Sahinidis, Nikolaos V.: Global optimization (2009)
  12. Domes, Ferenc; Neumaier, Arnold: A scaling algorithm for polynomial constraint satisfaction problems (2008)


Further publications can be found at: http://www.mat.univie.ac.at/~dferi/publications.html