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Record Nr. |
UNINA9910580179803321 |
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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 |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
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ISBN |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (332 pages) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 13367 |
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Disciplina |
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Soggetti |
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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 |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Mathematical Programming -- Heuristics and Metaheurisitcs -- Applications -- Mathematical Economy -- Game Theory. |
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Sommario/riassunto |
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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 |
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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. |
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