Search Results - Instance Library, Quadratic Programming

QPLIB: a library of quadratic programming instances

Authors: Furini F. Traversi E. Belotti P. et al.

Contributors: Furini F. Traversi E. Belotti P. et al.

Source: Mathematical programming computation (Internet) 11 (2019): 237–265. doi:10.1007/s12532-018-0147-4
info:cnr-pdr/source/autori:Furini F.; Traversi E.; Belotti P.; Frangioni A.; Gleixner A.; Gould N.; Liberti L.; Lodi A.; Misener R.; Mittelmann H.; Sahinidis N.V.; Vigerske S.; Wiegele A./titolo:QPLIB: a library of quadratic programming instances/doi:10.1007%2Fs12532-018-0147-4/rivista:Mathematical programming computation (Internet)/anno:2019/pagina_da:237/pagina_a:265/intervallo_pagine:237–265/volume:11
Mathematical programming computation
(2018). doi:10.5281/zenodo.1412045
info:cnr-pdr/source/autori:Fabio Furini, Emiliano Traversi, Pietro Belotti, Antonio Frangioni, Ambros Gleixner, Nick Gould, Leo Liberti,Andrea Lodi, Ruth Misener, Hans Mittelmann, Nikolaos V. Sahinidis, Stefan Vigerske, Angelika Wiegele/titolo:QPLIB: A Library of Quadratic Programming Instances/doi:10.5281%2Fzenodo.1412045/rivista:Mathematical programming computation (Print)/anno:2018/pagina_da:/pagina_a:/intervallo_pagine:/volume

Subject Terms: Technology, CONVEX REFORMULATION, 0211 other engineering and technologies, Mixed-Integer Quadratically Constrained Quadratic Programming, 02 engineering and technology, Quadratic programming, Binary quadratic programming, 01 natural sciences, DESIGN, [INFO]Computer Science [cs], GLOBAL OPTIMIZATION ALGORITHMS, POOLING PROBLEMS, 0101 mathematics, CUT APPROACH, Science & Technology, Operations Research & Management Science, SQP ALGORITHM, Instance library, PERSPECTIVE REFORMULATIONS, Probabilités et mathématiques appliquées, SEARCH ALGORITHM, Instance Library, Quadratic Programming, TRUST-REGION SUBPROBLEM, MINLP PROBLEMS

File Description: application/pdf

Access URL: https://arpi.unipi.it/bitstream/11568/930999/1/QPLIB.pdf
https://asu.pure.elsevier.com/en/publications/qplib-a-library-of-quadratic-programming-instances
http://mpc.zib.de/index.php/MPC/article/view/231/155
https://hal-polytechnique.archives-ouvertes.fr/hal-02177672v1
https://link.springer.com/article/10.1007/s12532-018-0147-4
https://dblp.uni-trier.de/db/journals/mpc/mpc11.html#FuriniTBFGGLLMM19
https://opus4.kobv.de/opus4-zib/frontdoor/index/index/docId/6755
http://hdl.handle.net/10044/1/70377
https://link.springer.com/article/10.1007/s12532-018-0147-4
https://hdl.handle.net/11568/930999
https://doi.org/10.1007/s12532-018-0147-4
https://hdl.handle.net/11311/1163700
https://doi.org/10.1007/s12532-018-0147-4

QPLIB: A library of quadratic programming instances

Access URL: https://publications.polymtl.ca/40180/

QPLIB: a library of quadratic programming instances

Authors: Furini, Fabio Traversi, Emiliano Belotti, Pietro et al.

Subject Terms: Instance library, Quadratic programming, Mixed-Integer Quadratically Constrained Quadratic Programming, Binary quadratic programming, Probabilités et mathématiques appliquées

Time: 519

File Description: application/pdf

Relation: Mathematical Programming Computation; 11; 2019-06; 237-265; non; https://basepub.dauphine.fr/handle/123456789/19154

Availability: https://basepub.dauphine.fr/handle/123456789/19154

A branch-and-cut algorithm for Mixed-Integer Bilinear Programming.

Authors: Fischetti, Matteo Monaci, Michele

Source: European Journal of Operational Research. Apr2020, Vol. 282 Issue 2, p506-514. 9p.

Subject Terms: *ALGORITHMS, QUADRATIC programming, BILINEAR forms

Penalized semidefinite programming for quadratically-constrained quadratic optimization

Authors: Ramtin Madani Mohsen Kheirandishfard Javad Lavaei et al.

Source: Journal of Global Optimization. 78:423-451

Subject Terms: Optimization and Control (math.OC), FOS: Mathematics, 0211 other engineering and technologies, 02 engineering and technology, Mathematics - Optimization and Control

Access URL: http://arxiv.org/pdf/2004.14328
http://arxiv.org/abs/2004.14328
https://ui.adsabs.harvard.edu/abs/2020arXiv200414328M/abstract
https://dblp.uni-trier.de/db/journals/jgo/jgo78.html#MadaniKLA20
https://link.springer.com/article/10.1007/s10898-020-00918-8

Exploiting group symmetry in semidefinite programming relaxations of the quadratic assignment problem

Authors: de Klerk, E. Sotirov, R.

Source: Mathematical Programming vol.122 (2010) nr.2 p.225-246 [ISSN 0025-5610]

Index Terms: Article

URL: https://research.tilburguniversity.edu/en/publications/73287c80-3bc2-40c4-b02d-452cf88e810a
https://repository.tilburguniversity.edu/bitstreams/fed627ff-c288-42bf-8c98-4a5c167bd3b0/download
https://repository.tilburguniversity.edu/bitstreams/fed627ff-c288-42bf-8c98-4a5c167bd3b0/download

Exploiting Group Symmetry in Semidefinite Programming Relaxations of the Quadratic Assignment Problem

Authors: de Klerk, E. Sotirov, R.

Source: CentER Discussion Paper, (2007), pp.21

Index Terms: quadratic assignment problem, semidefinite programming, group sym- metry, Discussion paper

URL: https://research.tilburguniversity.edu/en/publications/87a5d126-86e5-4863-8ea5-1a76fc5f25e7
https://repository.tilburguniversity.edu/bitstreams/c35109c2-f3df-4655-b75a-e56de431ec64/download
https://repository.tilburguniversity.edu/bitstreams/c35109c2-f3df-4655-b75a-e56de431ec64/download

A New Semidefinite Programming Relaxation for the Quadratic Assignment Problem and Its Computational Perspectives.

Authors: de Klerk, E. Sotirov, R. Truetsch, U.

Source: INFORMS Journal on Computing. Spring2015, Vol. 27 Issue 2, p378-391. 14p.

Subject Terms: *SEMIDEFINITE programming, *QUADRATIC assignment problem, *MATHEMATICAL bounds, *PROBLEM solving, *GROUP theory

Borehole‐Based Interval Kriging for 3D Lithofacies Modeling.

Authors: Song, Yuqi Tsai, Frank T.‐C.

Source: Water Resources Research; Jun2024, Vol. 60 Issue 6, p1-36, 36p

Subject Terms: KRIGING, GEOLOGICAL statistics, LITHOFACIES, QUADRATIC programming, MATHEMATICAL formulas, GENETIC algorithms, COVARIANCE matrices, GEOLOGICAL modeling

Feature matching of remote‐sensing images based on bilateral local–global structure consistency.

Authors: Chen, Qing‐Yan Feng, Da‐Zheng

Source: IET Image Processing (Wiley-Blackwell); 12/11/2023, Vol. 17 Issue 14, p3909-3926, 18p

Subject Terms: REMOTE-sensing images, IMAGE registration, QUADRATIC forms, QUADRATIC programming, INTEGER programming

Constraint Programming and Linear Programming for Quadratic 0-1 Problems

Authors: Gueye, Serigne Michelon, Philippe

Contributors: Gueye, Serigne Michelon, Philippe

Subject Terms: [INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM], 0-1 quadratic programming, Integer Linear programming, Constraint programming, [INFO.INFO-RO] Computer Science [cs]/Operations Research [math.OC]

Access URL: https://hal.science/hal-02467597v1

qplib-web: Mathematical Programming Computations

Authors: Stefan Vigerske Ambros Gleixner

Subject Terms: Instance Library, Quadratic Programming

Relation: https://github.com/svigerske/qplib-web/tree/MPC; https://github.com/fabiofurini/QPLIB; https://zenodo.org/records/1412045; oai:zenodo.org:1412045; https://doi.org/10.5281/zenodo.1412045

Availability: https://doi.org/10.5281/zenodo.1412045
https://zenodo.org/records/1412045

QPLIB: a library of quadratic programming instances

Authors: Furini F Traversi E Belotti P et al.

Relation: Science and Technology Facilities Council (2007- ); Scientific Computing (2012- ); http://purl.org/net/epubs/work/31658809

Availability: http://purl.org/net/epubs/work/31658809
http://purl.org/net/epubs/manifestation/31660435/RAL-P-2017-003.pdf

Data-driven Projection Generation for Efficiently Solving Heterogeneous Quadratic Programming Problems

Authors: Iwata, Tomoharu Futami, Futoshi

Subject Terms: Machine Learning, Artificial Intelligence, Optimization and Control

Relation: http://arxiv.org/abs/2510.26061

Availability: http://arxiv.org/abs/2510.26061

Provably data-driven projection method for quadratic programming

Authors: Nguyen, Anh Tuan Nguyen, Viet Anh

Subject Terms: Optimization and Control, Machine Learning

Relation: http://arxiv.org/abs/2509.04524

Availability: http://arxiv.org/abs/2509.04524

QPLIB: a library of quadratic programming instances

Authors: Furini F Traversi E Belotti P et al.

Relation: Science and Technology Facilities Council (2007- ); Scientific Computing (2012- ); http://purl.org/net/epubs/work/42679083

Availability: http://purl.org/net/epubs/work/42679083

Principled Data Augmentation for Learning to Solve Quadratic Programming Problems

Authors: Qian, Chendi Morris, Christopher

Subject Terms: Machine Learning, Artificial Intelligence

Relation: http://arxiv.org/abs/2506.01728

Availability: http://arxiv.org/abs/2506.01728

QPLIB: A library of quadratic programming instances

Authors: Furini, Fabio Traversi, Emiliano Belotti, Pietro et al.

Relation: Furini, F., Traversi, E., Belotti, P., Frangioni, A., Gleixner, A., Gould, N., Liberti, L., Lodi, A., Misener, R., Mittelmann, H., Sahinidis, N. V., Vigerske, S., & Wiegele, A. (2017). QPLIB: A library of quadratic programming instances. (Rapport technique n° Optmization Online 5846).

Availability: https://publications.polymtl.ca/40180/
http://www.optimization-online.org/DB_HTML/2017/02/5846.html

Using dual relaxations in multiobjective mixed-integer convex quadratic programming

Authors: De Santis, Marianna Eichfelder, Gabriele Patria, Daniele et al.

Subject Terms: article, ScholarlyArticle, ddc:510, Branch-and-bound algorithm, Convex quadratic optimization, Mixed-integer quadratic programming, Multiobjective optimization

File Description: 28 Seiten

Relation: Journal of global optimization -- 1573-2916 -- http://uri.gbv.de/document/gvk:ppn:266882196 -- 1468063-4 -- http://www.bibliothek.uni-regensburg.de/ezeit/?1468063 -- http://link.springer.com/journal/10898

Availability: https://doi.org/10.1007/s10898-024-01440-x
https://www.db-thueringen.de/receive/dbt_mods_00068213
https://www.db-thueringen.de/servlets/MCRFileNodeServlet/dbt_derivate_00069651/1573-2916_92_2025_1_159-186.pdf

Inductive linearization for binary quadratic programs with linear constraints: a computational study

Authors: Mallach, Sven

Subject Terms: ddc:650, Non-linear programming, Binary quadratic programming, Mixed-integer programming, Linearization

Relation: https://hdl.handle.net/10419/312515

Availability: https://hdl.handle.net/10419/312515
https://doi.org/10.1007/s10288-023-00537-5