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MIPLIB - Mixed Integer Problem Library

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MIPLIB - Mixed Integer Problem Library | miplib.zib.de Reviews

https://miplib.zib.de

MIPLIB Homepage

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1

MIPLIB 2010 Bibliography

http://miplib.zib.de//biblio.html

How to make a page like this. Articles are marked blue. Books are marked red. Unpublished reports are marked grey. Yuji Shinano, Tobias Achterberg, Timo Berthold, Stefan Heinz, Thorsten Koch, Michael Winkler. Solving Open MIP Instances with ParaSCIP on Supercomputers using up to 80,000 Cores. ZIB, 15-53, 2015. K Herr, T. Rehn, A. Schürmann. Exploiting Symmetry in Integer Convex Optimization using Core Points. ArXiv e-prints, (2012). Sam D Allen, Edmund K. Burke, Jakub Marecek. Pavel Troubil, Hana Rudová.

2

MIPLIB - ns1663818

http://miplib.zib.de/miplib2010/ns1663818.php

Num non-zeros in A. Num non-zeros in c. Instance coming from the NEOS Server with unknown application. The problem was solved using SCIP together with SoPlex in about 10 days (May 2014). Last Update December 1, 2015 by Gerald Gamrath. 2015 by Konrad-Zuse-Zentrum für Informationstechnik Berlin (ZIB).

3

MIPLIB - ns2122603

http://miplib.zib.de/miplib2010/ns2122603.php

Num non-zeros in A. Num non-zeros in c. Instance coming from the NEOS Server with unknown application. Solved by two repeated runs of CPLEX 12.6 (24 threads). Checked for numerical stability with an additional run using 'num-caution-emph=y'. Last Update December 1, 2015 by Gerald Gamrath. 2015 by Konrad-Zuse-Zentrum für Informationstechnik Berlin (ZIB).

4

MIPLIB - neos-1140050

http://miplib.zib.de/miplib2010/neos-1140050.php

Num non-zeros in A. Num non-zeros in c. Instance coming from the NEOS Server with unknown application. Infeasibility claimed by CPLEX 12.6 and CPLEX 12.6.1 with extreme numerical caution emphasi after 4 and 2 hours computation, respectively. Last Update December 1, 2015 by Gerald Gamrath. 2015 by Konrad-Zuse-Zentrum für Informationstechnik Berlin (ZIB).

5

MIPLIB - berlin_5_8_0

http://miplib.zib.de/miplib2010/berlin_5_8_0.php

Berlin 5 8 0. Berlin 5 8 0. Berlin 5 8 0.mps.gz. Berlin 5 8 0.sol.gz. Num non-zeros in A. Num non-zeros in c. Railway optimization problems. The problem was solved using CPLEX 12.3 on a 32 core Sun Galaxy 4600 machine, equipped with eight Quad-Core AMD Opteron 8384 processors at 2.7 GHz and 512 GB RAM. It took approximately 9 hours. The problem was solved using CPLEX 12.4 in about 55 minutes (May 2014). Last Update December 1, 2015 by Gerald Gamrath.

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oj! Algorithms

http://www.ojalgo.org/javadoc.html

Algorithms ojAlgo is Open Source Java code to do mathematics, linear algebra and optimisation. High Performance on a Rich Feature Set with Zero Dependencies. New iterative equation system solvers: JacobiSolver. Significant performance improvements to ConvexSolver. With bigger models (largely realized by utilising the ConjugateGradientSolver. A number of important bug fixes. Covering the latest 10 releases, will give more details on what's new. There is also a new wiki page. Page has been updated. To be u...

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Enlaces de Investigación Operativa

http://www.eio.uva.es/enlaces/enio.html

Enlaces Enlaces de Investigación Operativa. Enlaces de Investigación Operativa. Sociedad de Estadística e Investigación Operativa). Asociación Europea de Sociedades de Investigación Operativa). Páginas de I.O de interés. Problemas específicos y librerías de datos. MIPLIB - Mixed Integer Problem Library. Software de I.O. de dominio público. Decision Tree for Optimization Software. Computational Infrastructure for Operations Research- open source for the operations research community.

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oj! Algorithms

http://www.ojalgo.org/getting.html

Algorithms ojAlgo is Open Source Java code to do mathematics, linear algebra and optimisation. High Performance on a Rich Feature Set with Zero Dependencies. New iterative equation system solvers: JacobiSolver. Significant performance improvements to ConvexSolver. With bigger models (largely realized by utilising the ConjugateGradientSolver. A number of important bug fixes. Covering the latest 10 releases, will give more details on what's new. There is also a new wiki page. Page has been updated. To be u...

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oj! Algorithms

http://www.ojalgo.org/linear_algebra.html

Algorithms ojAlgo is Open Source Java code to do mathematics, linear algebra and optimisation. High Performance on a Rich Feature Set with Zero Dependencies. New iterative equation system solvers: JacobiSolver. Significant performance improvements to ConvexSolver. With bigger models (largely realized by utilising the ConjugateGradientSolver. A number of important bug fixes. Covering the latest 10 releases, will give more details on what's new. There is also a new wiki page. Page has been updated. To be u...

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oj! Algorithms

http://www.ojalgo.org/license.html

Algorithms ojAlgo is Open Source Java code to do mathematics, linear algebra and optimisation. High Performance on a Rich Feature Set with Zero Dependencies. New iterative equation system solvers: JacobiSolver. Significant performance improvements to ConvexSolver. With bigger models (largely realized by utilising the ConjugateGradientSolver. A number of important bug fixes. Covering the latest 10 releases, will give more details on what's new. There is also a new wiki page. Page has been updated. To be u...

ojalgo.org ojalgo.org

oj! Algorithms

http://www.ojalgo.org/index.html

Algorithms ojAlgo is Open Source Java code to do mathematics, linear algebra and optimisation. High Performance on a Rich Feature Set with Zero Dependencies. New iterative equation system solvers: JacobiSolver. Significant performance improvements to ConvexSolver. With bigger models (largely realized by utilising the ConjugateGradientSolver. A number of important bug fixes. Covering the latest 10 releases, will give more details on what's new. There is also a new wiki page. Page has been updated. To be u...

ojalgo.org ojalgo.org

oj! Algorithms

http://www.ojalgo.org/mathematical_programming.html

Algorithms ojAlgo is Open Source Java code to do mathematics, linear algebra and optimisation. High Performance on a Rich Feature Set with Zero Dependencies. New iterative equation system solvers: JacobiSolver. Significant performance improvements to ConvexSolver. With bigger models (largely realized by utilising the ConjugateGradientSolver. A number of important bug fixes. Covering the latest 10 releases, will give more details on what's new. There is also a new wiki page. Page has been updated. To be u...

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MIPLIB – the Mixed Integer Programming LIBrary. In response to the needs of researchers for access to real-world mixed integer programs a group of researchers Robert E. Bixby. And RR. Indovina created in 1992 the MIPLIB, an electronically available library of both pure and mixed integer programs. This was updated in 1996 by Robert E. Bixby. Sebastian Ceria, Cassandra M. McZeal. And Martin W.P. Savelsbergh. The library was updated again in 2003 by Alexander Martin. Tobias Achterberg, and Thorsten Koch.

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