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220701 ||| eng |
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|a 9783031096075
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| 100 |
1 |
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|a Pardalos, Panos
|e [editor]
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| 245 |
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|a Mathematical Optimization Theory and Operations Research
|h Elektronische Ressource
|b 21st International Conference, MOTOR 2022, Petrozavodsk, Russia, July 2–6, 2022, Proceedings
|c edited by Panos Pardalos, Michael Khachay, Vladimir Mazalov
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| 250 |
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|a 1st ed. 2022
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2022, 2022
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| 300 |
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|a XXV, 315 p. 32 illus., 20 illus. in color
|b online resource
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| 505 |
0 |
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|a Mathematical Programming -- Heuristics and Metaheurisitcs -- Applications -- Mathematical Economy -- Game Theory
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Discrete Optimization
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| 653 |
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|a Data Structures and Information Theory
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| 653 |
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|a Application software
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| 653 |
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|a Signal, Speech and Image Processing
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| 653 |
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|a Information theory
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| 653 |
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|a Artificial intelligence
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| 653 |
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|a Data structures (Computer science)
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| 653 |
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|a Discrete Mathematics
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| 653 |
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|a Discrete mathematics
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| 653 |
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|a Computer and Information Systems Applications
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| 653 |
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|a Signal processing
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| 653 |
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|a Mathematical optimization
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| 700 |
1 |
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|a Khachay, Michael
|e [editor]
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| 700 |
1 |
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|a Mazalov, Vladimir
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Lecture Notes in Computer Science
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| 028 |
5 |
0 |
|a 10.1007/978-3-031-09607-5
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-031-09607-5?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 519.6
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| 520 |
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|a 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
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