Mathematical optimization theory and operations research : 19th International Conference, MOTOR 2020, Novosibirsk, Russia, July 6-10, 2020, proceedings / Alexander Kononov, Michael Khachay, Valery A Kalyagin, Panos Pardalos (eds.).
Material type:
TextSeries: Lecture notes in computer science ; 12095. | LNCS sublibrary. SL 1, Theoretical computer science and general issues.Publisher: Cham : Springer, 2020Copyright date: ©2020Description: 1 online resource (xxxv, 471 pages)Content type: - text
- computer
- online resource
- 9783030499884
- 303049988X
- 9788303049988
- 8303049984
- MOTOR 2020
- Mathematical optimization -- Congresses
- Optimisation mathématique -- Congrès
- Computer science
- Mathematical modelling
- Algorithms & data structures
- Discrete mathematics
- Network hardware
- Mathematical theory of computation
- Computers -- Computer Science
- Mathematics -- Applied
- Computers -- Information Theory
- Computers -- Data Processing
- Computers -- Hardware -- Network Hardware
- Optimización matemática
- Ordenadores -- Informática
- Mathematical optimization
- 519.6 23
- QA402.5 .I58 2020eb
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
eBook
|
e-Library | eBook LNCS | Available |
International conference proceedings.
Includes author index.
Section 1: Invited talks -- Section 2: Discrete optimization -- Section 3: Mathematical Programming -- Section 4: Game theory -- Section 5: Scheduling problem -- Section 6: Heuristics and Metaheuristics -- Section 7: Operational Research Applications.
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.