Mathematical Optimization Theory and Operations Research [[electronic resource] ] : 19th International Conference, MOTOR 2020, Novosibirsk, Russia, July 6–10, 2020, Proceedings / / edited by Alexander Kononov, Michael Khachay, Valery A Kalyagin, Panos Pardalos

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
• Edizione: 1st ed. 2020.
• Descrizione fisica: 1 online resource (492 pages)
• Disciplina: 519.3
• Soggetto topico: Computer science—Mathematics; Computer science; Data structures (Computer science); Information theory; Discrete mathematics; Computer networks; Mathematics of Computing; Theory of Computation; Mathematical Applications in Computer Science; Data Structures and Information Theory; Discrete Mathematics in Computer Science; Computer Communication Networks
• Persona (resp. second.): KononovAlexander; KhachayMichael; KalyaginValery A; PardalosPanos
• Nota di contenuto: Discrete Optimization -- Mathematical Programming -- Game Theory -- Scheduling Problem -- Heuristics and Metaheuristics -- Operational Research Applications.
• Sommario/riassunto: 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.
• Titolo autorizzato: Mathematical Optimization Theory and Operations Research
• ISBN: 3-030-49988-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996418281003316
• Lo trovi qui: Univ. di Salerno
• Serie: Theoretical Computer Science and General Issues, . 2512-2029 ; ; 12095