Mathematical Optimization Theory and Operations Research : 19th International Conference, MOTOR 2020, Novosibirsk, Russia, July 6–10, 2020, Revised Selected Papers / edited by Yury Kochetov, Igor Bykadorov, Tatiana Gruzdeva

Contributor(s):

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Communications in Computer and Information Science ; 1275 | Springer eBook CollectionPublisher: Cham : Springer International Publishing, 2020Publisher: Cham : Imprint: Springer, 2020Edition: 1st ed. 2020Description: 1 Online-Ressource(XVI, 438 p. 109 illus., 31 illus. in color.)ISBN:

9783030586577

Subject(s):

Additional physical formats: 9783030586560 | 9783030586584 | Erscheint auch als: 9783030586560 Druck-Ausgabe | Erscheint auch als: 9783030586584 Druck-AusgabeDOI: DOI: 10.1007/978-3-030-58657-7Online resources:

Summary: Combinatorial Optimization -- Mathematical Programming -- Global Optimization -- Game Theory and Mathematical Economics -- Heuristics and Metaheuristics -- Machine Learning and Data Analysis.Summary: This book constitutes refereed proceedings of the 19th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2020, held in July 2020. Due to the COVID-19 pandemic the conference was held online. The 25 full papers and 8 short papers presented in this volume were carefully reviewed and selected from a total of 102 submissions. The papers in the volume are organised according to the following topical headings: combinatorial optimization; mathematical programming; global optimization; game theory and mathematical economics; heuristics and metaheuristics; machine learning and data analysis.PPN: PPN: 1734630671Package identifier: Produktsigel: ZDB-2-SCS | ZDB-2-SEB | ZDB-2-SXCS

Holdings ( 0 )

No physical items for this record