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Ambros M. Gleixner
Researcher at Zuse Institute Berlin
Publications - 83
Citations - 2267
Ambros M. Gleixner is an academic researcher from Zuse Institute Berlin. The author has contributed to research in topics: Solver & Integer programming. The author has an hindex of 19, co-authored 74 publications receiving 1776 citations. Previous affiliations of Ambros M. Gleixner include Technical University of Berlin & HTW Berlin - University of Applied Sciences.
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Journal ArticleDOI
MIPLIB 2010 - Mixed Integer Programming Library version 5
Thorsten Koch,Tobias Achterberg,Erling D. Andersen,Oliver Bastert,Timo Berthold,Robert E. Bixby,Emilie Danna,Gerald Gamrath,Ambros M. Gleixner,Stefan Heinz,Andrea Lodi,Hans D. Mittelmann,Ted K. Ralphs,Domenico Salvagnin,Daniel E. Steffy,Kati Wolter +15 more
TL;DR: The fifth version of the Mixed Integer Programming Library is reported on, which comprises 361 instances sorted into several groups and includes scripts to run automated tests in a predefined way.
The SCIP Optimization Suite 7.0
Gerald Gamrath,Daniel Anderson,Ksenia Bestuzheva,Wei-Kun Chen,Leon Eifler,Maxime Gasse,Patrick Gemander,Ambros M. Gleixner,Leona Gottwald,Katrin Halbig,Gregor Hendel,Christopher Hojny,Thorsten Koch,Pierre Le Bodic,Stephen J. Maher,Frederic Matter,Matthias Miltenberger,Erik Muhmer,Benjamin Müller,Marc E. Pfetsch,Franziska Schlösser,Felipe Serrano,Yuji Shinano,Christine Maher Fouad Tawfik,Stefan Vigerske,Fabian Wegscheider,Dieter Weninger,Jakob Witzig +27 more
TL;DR: New features and enhanced algorithms made available in version 5.0 of the SCIP Optimization Suite, in particular for the LP solver SoPlex, the Steiner tree solver SCIP-Jack, the MISDP solverSCIP-SDP, and the parallelization framework UG are described.
The SCIP Optimization Suite 5.0
Ambros M. Gleixner,Leon Eifler,Tristan Gally,Gerald Gamrath,Patrick Gemander,Robert L. Gottwald,Gregor Hendel,Christoper Hojny,Thorsten Koch,Matthias Miltenberger,Benjamin Müller,Marc E. Pfetsch,Christian Puchert,Daniel Rehfeldt,Franziska Schlösser,Felipe Serrano,Yuji Shinano,Jan Merlin Viernickel,Stefan Vigerske,Dieter Weninger,Jonas Witt,Jakob Witzig +21 more
TL;DR: The SCIP Optimization Suite 5.0 as discussed by the authors is the latest version of the constraint integer programming solver SCIP for solving mixed-integer linear and nonlinear programs, and it is about 41 % faster than SCIP 4.0 and over twice as fast on instances that take at least 100 seconds to solve.
Journal ArticleDOI
SCIP: global optimization of mixed-integer nonlinear programs in a branch-and-cut framework
TL;DR: These extensions that were added to the constraint integer programming framework SCIP to enable it to solve convex and nonconvex mixed-integer nonlinear programs (MINLPs) to global optimality are described and insights into the performance impact of individual MINLP solver components are provided.
Journal ArticleDOI
LP-based disaggregation approaches to solving the open pit mining production scheduling problem with block processing selectivity
TL;DR: This work proposes an iterative disaggregation method that refines the aggregates up to the point where the refined aggregates defined for processing produce the same optimal solution for the linear programming (LP) relaxation of the MIP as the optimal solution of the LP relaxation with individual block processing.