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.
Kochetov, Yury. editor.; Bykadorov, Igor. editor.; Gruzdeva, Tatiana. editor.
2020
QA76.9.M35
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Title 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.
Edition 1st ed. 2020.
ISBN 9783030586577 (electronic book)
303058657X (electronic book)
9783030586560
DOI https://doi.org/10.1007/978-3-030-58657-7
Published Cham : Springer International Publishing : Imprint: Springer, 2020.
Language English
Description 1 online resource (xvi, 438 pages).
Other Standard Identifiers 10.1007/978-3-030-58657-7 doi
10.1007/978-3-030-58
Call Number QA76.9.M35
Dewey Decimal Classification 004.0151
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.
Access Note Access limited to authorized users.
Added Author Kochetov, Yury. editor.
Bykadorov, Igor. editor.
Gruzdeva, Tatiana. editor.
Series Communications in computer and information science ; 1275. 1865-0929
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Combinatorial Optimization
Mathematical Programming
Global Optimization
Game Theory and Mathematical Economics
Heuristics and Metaheuristics
Machine Learning and Data Analysis.

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