Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Katrin Halbig"'
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:
ACM Transactions on Embedded Computing Systems; 2023 Suppl5s, Vol. 22, p1-26, 26p
Autor:
Bestuzheva, Ksenia, Besançon, Mathieu, Chen, Wei-Kun, Chmiela, Antonia, Donkiewicz, Tim, van Doornmalen, Jasper, Eifler, Leon, Gaul, Oliver, Gamrath, Gerald, Gleixner, Ambros, Gottwald, Leona, Graczyk, Christoph, Halbig, Katrin, Hoen, Alexander, Hojny, Christopher, van der Hulst, Rolf, Koch, Thorsten, Lübbecke, Marco, Maher, Stephen J., Matter, Frederic
Publikováno v:
ACM Transactions on Mathematical Software; Jun2023, Vol. 49 Issue 2, p1-21, 21p
Autor:
GUSMEROLI, NICOLÒ, HRGA, TIMOTEJ, LUŽAR, BORUT, POVH, JANEZ, SIEBENHOFER, MELANIE, WIEGELE, ANGELIKA
Publikováno v:
ACM Transactions on Mathematical Software; Jun2022, Vol. 48 Issue 2, p1-31, 31p
Publikováno v:
ACM Transactions on Embedded Computing Systems; Jan2022, Vol. 21 Issue 1, p1-29, 29p
Autor:
Marcia Fampa, Jon Lee
This monograph presents a comprehensive treatment of the maximum-entropy sampling problem (MESP), which is a fascinating topic at the intersection of mathematical optimization and data science. The text situates MESP in information theory, as the al