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Keywords
- Artificial intelligence
- Combinatorial optimization
- Graph theory
- Numerical methods
- Game theory
- Optimization problems
- Theoretical computer science
- Computational complexity
- Operations research
- Decision making
About this book
This book constitutes the refereed proceedings of the 23rd International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2024, held in Omsk, Russia, during June 30 - July 6, 2024.
The 30 full papers included in this book were carefully reviewed and selected from 79 submissions. This book also contains two invited talk. They were organized in topical sections as follows: mathematical programming; combinatorial optimization; game theory; and operations research.
Editors and Affiliations
Bibliographic Information
Book Title: Mathematical Optimization Theory and Operations Research
Book Subtitle: 23rd International Conference, MOTOR 2024, Omsk, Russia, June 30–July 6, 2024, Proceedings
Editors: Anton Eremeev, Michael Khachay, Yury Kochetov, Vladimir Mazalov, Panos Pardalos
Series Title: Lecture Notes in Computer Science
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Softcover ISBN: 978-3-031-62791-0Due: 23 July 2024
eBook ISBN: 978-3-031-62792-7Due: 23 July 2024
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXVI, 454
Number of Illustrations: 96 b/w illustrations