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| Titolo: |
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
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| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Edizione: | 1st ed. 2020. |
| Descrizione fisica: | 1 online resource (XVI, 438 p. 109 illus., 31 illus. in color.) |
| Disciplina: | 519.6 |
| 004.0151 | |
| Soggetto topico: | Computer science - Mathematics |
| Numerical analysis | |
| Artificial intelligence | |
| Algorithms | |
| Data structures (Computer science) | |
| Information theory | |
| Computer networks | |
| Mathematical Applications in Computer Science | |
| Numerical Analysis | |
| Artificial Intelligence | |
| Data Structures and Information Theory | |
| Computer Communication Networks | |
| Persona (resp. second.): | BykadorovIgor |
| GruzdevaTatiana | |
| KochetovI͡U. A. | |
| Note generali: | Includes index. |
| Nota di contenuto: | Combinatorial Optimization -- Mathematical Programming -- Global Optimization -- Game Theory and Mathematical Economics -- Heuristics and Metaheuristics -- Machine Learning and Data Analysis. |
| Sommario/riassunto: | This book constitutes refereed proceedings of the 19th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2020, held in Novosibirsk, Russia, 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. |
| Titolo autorizzato: | Mathematical Optimization Theory and Operations Research ![]() |
| ISBN: | 3-030-58657-X |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910427716303321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |