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Mathematical Optimization Theory and Operations Research: 19th International Conference, MOTOR 2020, Novosibirsk, Russia, July 6-10, 2020, Proceedings

Mathematical Optimization Theory and Operations Research: 19th International Conference, MOTOR 2020, Novosibirsk, Russia, July 6-10, 2020, Proceedings
Catalogue Information
Field name Details
Dewey Class 004.0151
Title Mathematical Optimization Theory and Operations Research ([EBook]) : 19th International Conference, MOTOR 2020, Novosibirsk, Russia, July 6-10, 2020, Proceedings / / edited by Alexander Kononov, Michael Khachay, Valery A Kalyagin, Panos Pardalos.
Added Personal Name Kononov, Alexander
Khachay, Michael
Kalyagin, Valery A.
Pardalos, Panos
Other name(s) SpringerLink (Online service)
Edition statement 1st ed. 2020.
Publication Cham : : Springer International Publishing : : Imprint: Springer, , 2020.
Physical Details XXXV, 471 p. 137 illus., 36 illus. in color. : online resource.
Series Theoretical Computer Science and General Issues ; 12095
ISBN 9783030499884
Summary Note This book constitutes the proceedings of the 19th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2020, held in Novosibirsk, Russia, in July 2020. The 31 full papers presented in this volume were carefully reviewed and selected from 102 submissions. The papers are grouped in these topical sections: discrete optimization; mathematical programming; game theory; scheduling problem; heuristics and metaheuristics; and operational research applications.:
Contents note Discrete Optimization -- Mathematical Programming -- Game Theory -- Scheduling Problem -- Heuristics and Metaheuristics -- Operational Research Applications.
Mode of acces to digital resource Digital book. Cham Springer Nature 2020. - Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format
System details note - Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site https://doi.org/10.1007/978-3-030-49988-4
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