Name: Mathematical Optimization Theory and Operations Research
ISBN: 978-3-031-35305-5

Editors:

Michael Khachay
1. Krasovsky Institute of Mathematics and Mechanics, Ekaterinburg, Russia
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Yury Kochetov
1. Sobolev Institute of Mathematics, Novosibirsk, Russia
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Anton Eremeev
1. Sobolev Institute of Mathematics, Omsk, Russia
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Oleg Khamisov
1. Melentiev Energy Systems Institute, Irkutsk, Russia
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Vladimir Mazalov
1. Institute of Applied Mathematical Research, Petrozavodsk, Russia
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Panos Pardalos
1. University of Florida, Gainesville, USA
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13930)

Conference series link(s): MOTOR: International Conference on Mathematical Optimization Theory and Operations Research

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Conference proceedings info: MOTOR 2023.

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Table of contents (29 papers)

Front Matter

Pages i-xxvii

PDF
Invited Papers
1. Front Matter
  
  Pages 1-1
  
  PDF
2. General Equilibrium Models in Production Networks with Substitution of Inputs
  
  Natalia Obrosova, Alexander Shananin
  
  Pages 3-22
Mathematical Programming and Applications
1. Front Matter
  
  Pages 23-23
  
  PDF
2. On Decentralized Nonsmooth Optimization
  
  Savelii Chezhegov, Alexander Rogozin, Alexander Gasnikov
  
  Pages 25-38
3. Byzantine-Robust Loopless Stochastic Variance-Reduced Gradient
  
  Nikita Fedin, Eduard Gorbunov
  
  Pages 39-53
4. Semi-supervised K-Means Clustering via DC Programming Approach
  
  Tatiana V. Gruzdeva, Anton V. Ushakov
  
  Pages 54-67
5. On the Uniqueness of Identification the Thermal Conductivity and Heat Capacity of Substance
  
  Vladimir Zubov
  
  Pages 68-82
Discrete and Combinatorial Optimization
1. Front Matter
  
  Pages 83-83
  
  PDF
2. Constant-Factor Approximation Algorithms for Some Maximin Multi-clustering Problems
  
  Vladimir Khandeev, Sergey Neshchadim
  
  Pages 85-100
3. Aggregation Tree Construction Using Hierarchical Structures
  
  Adil Erzin, Roman Plotnikov, Ilya Ladygin
  
  Pages 101-114
4. Enumeration and Unimodular Equivalence of Empty Delta-Modular Simplices
  
  D. V. Gribanov
  
  Pages 115-132
5. PTAS for p-Means q-Medoids r-Given Clustering Problem
  
  Artem V. Pyatkin
  
  Pages 133-141
6. Nested (2,3)-Instances of the Cutting Stock Problem
  
  Artem V. Ripatti
  
  Pages 142-165
Stochastic Optimization
1. Front Matter
  
  Pages 167-167
  
  PDF
2. On the Resource Allocation Problem to Increase Reliability of Transport Systems
  
  Aleksei Ignatov
  
  Pages 169-180
3. Distributionally Robust Optimization by Probability Criterion for Estimating a Bounded Signal
  
  Konstantin Semenikhin, Alexandr Arkhipov
  
  Pages 181-194
Scheduling
1. Front Matter
  
  Pages 195-195
  
  PDF
2. Approximation Algorithms for Two-Machine Proportionate Routing Open Shop on a Tree
  
  Ilya Chernykh, Olga Krivonogova, Anna Shmyrina
  
  Pages 197-211
3. MIP Heuristics for a Resource Constrained Project Scheduling Problem with Workload Stability Constraints
  
  Igor Vasilyev, Ildar Muftahov, Anton V. Ushakov
  
  Pages 212-223

Other Volumes

Mathematical Optimization Theory and Operations Research
Mathematical Optimization Theory and Operations Research: Recent Trends

About this book

This book constitutes the refereed proceedings of the 22nd International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2023, held in Ekaterinburg, Russia, during July 2–8, 2023. The 28 full papers and 1 short paper included in this book were carefully reviewed and selected from 89 submissions. They were organized in topical sections as follows: Mathematical programming and applications; discrete and combinatorial optimization; stochastic optimization; scheduling; game theory; and optimal control and mathematical economics. The book also contains one invited talk in full paper length.

Keywords

artificial intelligence
combinatorial optimization
communication systems
correlation analysis
graph theory
numerical methods
neural networks
game theory
optimization problems
theoretical computer science
computer vision

Editors and Affiliations

Krasovsky Institute of Mathematics and Mechanics, Ekaterinburg, Russia

Michael Khachay
Sobolev Institute of Mathematics, Novosibirsk, Russia

Yury Kochetov
Sobolev Institute of Mathematics, Omsk, Russia

Anton Eremeev
Melentiev Energy Systems Institute, Irkutsk, Russia

Oleg Khamisov
Institute of Applied Mathematical Research, Petrozavodsk, Russia

Vladimir Mazalov
University of Florida, Gainesville, USA

Panos Pardalos

Bibliographic Information

Book Title: Mathematical Optimization Theory and Operations Research
Book Subtitle: 22nd International Conference, MOTOR 2023, Ekaterinburg, Russia, July 2–8, 2023, Proceedings
Editors: Michael Khachay, Yury Kochetov, Anton Eremeev, Oleg Khamisov, Vladimir Mazalov, Panos Pardalos
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-35305-5
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 2023
Softcover ISBN: 978-3-031-35304-8Published: 27 June 2023
eBook ISBN: 978-3-031-35305-5Published: 25 June 2023
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXVII, 439
Number of Illustrations: 25 b/w illustrations, 28 illustrations in colour
Topics: Discrete Optimization, Data Structures and Information Theory, Artificial Intelligence, Computer Applications, Signal, Image and Speech Processing, Discrete Mathematics

Editors:

Sections

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Table of contents (29 papers)

Front Matter

Invited Papers

Front Matter

Mathematical Programming and Applications

Front Matter

Discrete and Combinatorial Optimization

Front Matter

Stochastic Optimization

Front Matter

Scheduling

Front Matter

Other Volumes

Mathematical Optimization Theory and Operations Research

About this book

Keywords

Editors and Affiliations

Krasovsky Institute of Mathematics and Mechanics, Ekaterinburg, Russia

Sobolev Institute of Mathematics, Novosibirsk, Russia

Sobolev Institute of Mathematics, Omsk, Russia

Melentiev Energy Systems Institute, Irkutsk, Russia

Institute of Applied Mathematical Research, Petrozavodsk, Russia

University of Florida, Gainesville, USA

Bibliographic Information

Buy it now

Buying options

Other ways to access

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