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

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Mathematical Optimization Theory and Operations Research : 19th International Conference, MOTOR 2020, Novosibirsk, Russia, July 6–10, 2020, Proceedings. 1st ed. 2020

フォーマット:

電子ブック

責任表示:

edited by Alexander Kononov, Michael Khachay, Valery A Kalyagin, Panos Pardalos

言語:

英語

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2020

形態:

XXXV, 471 p. 137 illus., 36 illus. in color : online resource

著者名:

シリーズ名:

Theoretical Computer Science and General Issues ; 12095

目次情報:

Discrete Optimization
Mathematical Programming
Game Theory
Scheduling Problem
Heuristics and Metaheuristics
Operational Research Applications

書誌ID:

IT00015335

ISBN:

9783030499884 [303049988X]

9783030499891 [3030499898]

子書誌情報

オンライン

https://doi.org/10.1007/978-3-030-49988-4

所蔵情報

タイトルが類似している資料

詳細

主題:	Computer Communication Networks; Data Structures and Information Theory; Discrete Mathematics in Computer Science; Mathematical Applications in Computer Science; Mathematics of Computing; Theory of Computation
分類・件名:	DC23 : 004.0151 LCSH : Computer science—Mathematics LCSH : Computers LCSH : Computer mathematics LCSH : Data structures (Computer science) LCSH : Computer communication systems FREE : Mathematics of Computing FREE : Theory of Computation FREE : Mathematical Applications in Computer Science FREE : Data Structures and Information Theory FREE : Discrete Mathematics in Computer Science FREE : Computer Communication Networks
注記:	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
TTLL:	eng

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