Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Mathieu Besançon"'
Autor:
Sébastien Designolle, Gabriele Iommazzo, Mathieu Besançon, Sebastian Knebel, Patrick Gelß, Sebastian Pokutta
Publikováno v:
Physical Review Research, Vol 5, Iss 4, p 043059 (2023)
In Bell scenarios with two outcomes per party, we algorithmically consider the two sides of the membership problem for the local polytope: Constructing local models and deriving separating hyperplanes, that is, Bell inequalities. We take advantage of
Externí odkaz:
https://doaj.org/article/146401fedf464cf2b4064a0b77d73dd7
Autor:
Mathieu Besançon, Theodore Papamarkou, David Anthoff, Alex Arslan, Simon Byrne, Dahua Lin, John Pearson
Publikováno v:
Journal of Statistical Software, Vol 98, Iss 1 (2021)
Random variables and their distributions are a central part in many areas of statistical methods. The Distributions.jl package provides Julia users and developers tools for working with probability distributions, leveraging Julia features for their i
Externí odkaz:
https://doaj.org/article/5f48c0b972cc4d8cb5b036858d5c824a
Publikováno v:
INFORMS Journal on Computing. 34:2611-2620
We present FrankWolfe.jl, an open-source implementation of several popular Frank–Wolfe and conditional gradients variants for first-order constrained optimization. The package is designed with flexibility and high performance in mind, allowing for
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:
Integration of Constraint Programming, Artificial Intelligence, and Operations Research ISBN: 9783031332708
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::995fd1f0bf6fd5892adf11437ee9d363
https://doi.org/10.1007/978-3-031-33271-5_4
https://doi.org/10.1007/978-3-031-33271-5_4
Autor:
St. Elmo Wilken, Mathieu Besançon, Miroslav Kratochvíl, Chilperic Armel Foko Kuate, Christophe Trefois, Wei Gu, Oliver Ebenhöh
Publikováno v:
Metabolic engineering. 74
1AbstractMetabolic models are typically characterized by a large number of parameters. Traditionally, metabolic control analysis is applied to differential equation-based models to investigate the sensitivity of predictions to parameters. A correspon
Publikováno v:
IEEE Transactions on Smart Grid
IEEE Transactions on Smart Grid, 2020, 11 (6), pp.5462-5465. ⟨10.1109/TSG.2020.3000651⟩
Besançon, M, Anjos, M F, Brotcorne, L & Gomez-herrera, J A 2020, ' A Bilevel Approach to Optimal Price-Setting of Time-and-Level-of-Use Tariffs ', IEEE Transactions on Smart Grid, vol. 11, no. 6, pp. 5462-5465 . https://doi.org/10.1109/TSG.2020.3000651
IEEE Transactions on Smart Grid, Institute of Electrical and Electronics Engineers, 2020, 11 (6), pp.5462-5465. ⟨10.1109/TSG.2020.3000651⟩
IEEE Transactions on Smart Grid, 2020, 11 (6), pp.5462-5465. ⟨10.1109/TSG.2020.3000651⟩
Besançon, M, Anjos, M F, Brotcorne, L & Gomez-herrera, J A 2020, ' A Bilevel Approach to Optimal Price-Setting of Time-and-Level-of-Use Tariffs ', IEEE Transactions on Smart Grid, vol. 11, no. 6, pp. 5462-5465 . https://doi.org/10.1109/TSG.2020.3000651
IEEE Transactions on Smart Grid, Institute of Electrical and Electronics Engineers, 2020, 11 (6), pp.5462-5465. ⟨10.1109/TSG.2020.3000651⟩
Time-and-Level-of-Use (TLOU) is a recently proposed pricing policy for energy, extending Time-of-Use with the addition of a capacity that users can book for a given time frame, reducing their expected energy cost if they respect this self-determined
Publikováno v:
Besançon, M, Anjos, M F & Brotcorne, L 2021, ' Complexity of near-optimal robust versions of multilevel optimization problems ', Optimization letters . https://doi.org/10.1007/s11590-021-01754-9
Optimization Letters
Optimization Letters, 2021, 15 (8), pp.2597-2610. ⟨10.1007/s11590-021-01754-9⟩
Optimization Letters
Optimization Letters, 2021, 15 (8), pp.2597-2610. ⟨10.1007/s11590-021-01754-9⟩
Near-optimality robustness extends multilevel optimization with a limited deviation of a lower level from its optimal solution, anticipated by higher levels. We analyze the complexity of near-optimal robust multilevel problems, where near-optimal rob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c4d278285e2057b04c28252c758aef8
Autor:
Alex Arslan, John M. Pearson, Mathieu Besançon, Simon Byrne, Theodore Papamarkou, David Anthoff, Dahua Lin
Publikováno v:
Besançon, M, Papamarkou, T, Anthoff, D, Arslan, A, Byrne, S, Lin, D & Pearson, J 2021, ' Distributions.jl: definition and modeling of probability distributions in the JuliaStats ecosystem ', Journal of Statistical Software, vol. 98, no. 16 . https://doi.org/10.18637/jss.v098.i16
Journal of Statistical Software; Vol 98 (2021); 1-30
Journal of Statistical Software; Vol 98 (2021); 1-30
Random variables and their distributions are a central part in many areas of statistical methods. The Distributions.jl package provides Julia users and developers tools for working with probability distributions, leveraging Julia features for their i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5f62e2ce1c62763ac1be7becf2bb13b
Autor:
Mathieu Besançon
Publikováno v:
Journal of Open Source Software. 4:1278
Mathematical optimization is the discipline dealing with the determination of the best (or almost best) decision with respect to a specific cost function and to a set of constraints on the decision. Bilevel optimization is a class of mathematical opt