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Mathematical Optimization Theory and Operations Research : 21st International Conference, MOTOR 2022, Petrozavodsk, Russia, July 2–6, 2022, Proceedings / / edited by Panos Pardalos, Michael Khachay, Vladimir Mazalov



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Titolo: Mathematical Optimization Theory and Operations Research : 21st International Conference, MOTOR 2022, Petrozavodsk, Russia, July 2–6, 2022, Proceedings / / edited by Panos Pardalos, Michael Khachay, Vladimir Mazalov Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Edizione: 1st ed. 2022.
Descrizione fisica: 1 online resource (332 pages)
Disciplina: 519.3
519.6
Soggetto topico: Mathematical optimization
Data structures (Computer science)
Information theory
Artificial intelligence
Application software
Signal processing
Discrete mathematics
Discrete Optimization
Data Structures and Information Theory
Artificial Intelligence
Computer and Information Systems Applications
Signal, Speech and Image Processing
Discrete Mathematics
Persona (resp. second.): KhachayMikhail Yu.
MazalovVladimir
PardalosPanos
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Mathematical Programming -- Heuristics and Metaheurisitcs -- Applications -- Mathematical Economy -- Game Theory.
Sommario/riassunto: This book constitutes the proceedings of the 21st International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2022, held in Petrozavodsk, Russia, in July 2022. The 21 full papers presented together with 6 invited abstracts lectures and 2 tutorial abstracts in this volume were carefully reviewed and selected from 88 submissions. The conference focuses on the following topics: Mathematical programming, bi-level and global optimization, integer programming and combinatorial optimization, approximation algorithms with theoretical guarantees and approximation schemes, heuristics and meta-heuristics, game theory, optimal control, optimization in machine learning and data analysis, and their valuable applications in operations research and economics.
Titolo autorizzato: Mathematical Optimization Theory and Operations Research  Visualizza cluster
ISBN: 3-031-09607-X
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910580179803321
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Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 13367