Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Frederic Matter"'
Autor:
Frederic Matter, Marc E. Pfetsch
Publikováno v:
INFORMS Journal on Optimization. 5:131-154
This paper provides a discussion and evaluation of presolving methods for mixed-integer semidefinite programs. We generalize methods from the mixed-integer linear case and introduce new methods that depend on the semidefinite condition. The methods c
Publikováno v:
IEEE Transactions on Signal Processing. 70:4395-4407
Autor:
Ksenia Bestuzheva, Mathieu Besançon, Wei-Kun Chen, Antonia Chmiela, Tim Donkiewicz, Jasper van Doornmalen, Leon Eifler, Oliver Gaul, Gerald Gamrath, Ambros Gleixner, Leona Gottwald, Christoph Graczyk, Katrin Halbig, Alexander Hoen, Christopher Hojny, Rolf van der Hulst, Thorsten Koch, Marco Lübbecke, Stephen J. Maher, Frederic Matter, Erik Mühmer, Benjamin Müller, Marc E. Pfetsch, Daniel Rehfeldt, Steffan Schlein, Franziska SchlÃŰsser, Felipe Serrano, Yuji Shinano, Boro Sofranac, Mark Turner, Stefan Vigerske, Fabian Wegscheider, Philipp Wellner, Dieter Weninger, Jakob Witzig
Publikováno v:
ACM Transactions on Mathematical Software.
The SCIP Optimization Suite provides a collection of software packages for mathematical optimization centered around the constraint integer programming framework SCIP . The focus of this paper is on the role of the SCIP Optimization Suite in supporti
Publikováno v:
Compressed Sensing in Information Processing ISBN: 9783031097447
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59d148acd55dadf3750df7c63a24b5ff
https://doi.org/10.1007/978-3-031-09745-4_7
https://doi.org/10.1007/978-3-031-09745-4_7
Autor:
Marc E. Pfetsch, Frederic Matter, Tristan Gally, Hendrik Lüthen, Oliver Habeck, Christopher Hojny, Andreas Schmitt
Publikováno v:
Annals of Operations Research. 292:469-517
The 0/1 knapsack polytope is the convex hull of all 0/1 vectors that satisfy a given single linear inequality with non-negative coefficients. This paper provides a comprehensive overview of knapsack polytopes. We discuss basic polyhedral properties,
This article considers the recovery of low-rank matrices via a convex nuclear-norm minimization problem and presents two null space properties (NSP) which characterize uniform recovery for the case of block-diagonal matrices and block-diagonal positi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e5fc5e92632a24bf3569b6a36b2b11b
http://arxiv.org/abs/1907.09442
http://arxiv.org/abs/1907.09442
Publikováno v:
Scopus-Elsevier
In this paper, we consider the problem of joint antenna selection and analog beamformer design in downlink single-group multicast networks. Our objective is to reduce the hardware costs by minimizing the number of required phase shifters at the trans
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1fd20b2a0e6ccb383ed85b7f23ea338
http://arxiv.org/abs/1802.07990
http://arxiv.org/abs/1802.07990