Présentation
Le Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes (LIMOS) est une Unité Mixte de Recherche (UMR 6158) en informatique, et plus généralement en Sciences et Technologies de l'Information et de la Communication (STIC).
(lire la suite)Séminaires à venir
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Wesley Coelho and Victor Onofre - Pasqal - 28 mai 2026 09:00 - Salle A104 Quantum Computing with Neutral Atoms |
Dernières Publications
Hassan Maatouk, Didier Rullière, Xavier Bay - 19 mars 2026
Truncated multivariate normal distribution under linear and nonlinear constraints
Technometrics
Antoine Dailly, Florent Foucaud, Anni Hakanen - 2 avril 2026
Algorithms and hardness for Metric Dimension on digraphs
Journal of Computer and System Sciences
Anthony Bertrand, Engelbert Mephu Nguifo, Violaine Antoine, David Hill - 2 avril 2026
A K-Means, Ward and DBSCAN Repeatability Study
Cloud Computing and Data Science
Florent Foucaud, Paras Vinubhai Maniya, Kaustav Paul, Dinabandhu Pradhan - 1 mars 2026
Locating-dominating partitions for some classes of graphs
Discrete Mathematics
Adrien Wartelle, Quentin Christ, Stéphane Dauzère-Pérès, Renaud Roussel, Claude Yugma - 21 janvier 2026
Modelling the impact of lot priorities on production cycle times: a data-driven approach
International Journal of Production Research
Truncated multivariate normal distribution under linear and nonlinear constraints
Technometrics
Antoine Dailly, Florent Foucaud, Anni Hakanen - 2 avril 2026
Algorithms and hardness for Metric Dimension on digraphs
Journal of Computer and System Sciences
Anthony Bertrand, Engelbert Mephu Nguifo, Violaine Antoine, David Hill - 2 avril 2026
A K-Means, Ward and DBSCAN Repeatability Study
Cloud Computing and Data Science
Florent Foucaud, Paras Vinubhai Maniya, Kaustav Paul, Dinabandhu Pradhan - 1 mars 2026
Locating-dominating partitions for some classes of graphs
Discrete Mathematics
Adrien Wartelle, Quentin Christ, Stéphane Dauzère-Pérès, Renaud Roussel, Claude Yugma - 21 janvier 2026
Modelling the impact of lot priorities on production cycle times: a data-driven approach
International Journal of Production Research