Mathematical Optimization Theory And Operations Research Recent Trends
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Mathematical Optimization Theory And Operations Research Recent Trends
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Author : Anton Eremeev
language : en
Publisher: Springer Nature
Release Date : 2024-12-19
Mathematical Optimization Theory And Operations Research Recent Trends written by Anton Eremeev and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-19 with Mathematics categories.
This book constitutes the revised selected papers from the 23rd International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2024, held in Omsk, Russia from June 30 to July 06, 2024. The 26 full papers included in this book were carefully reviewed and selected from 79 submissions. These papers have been organized in the following topical sections: Mathematical programming; Combinatorial optimization; Operations research; and Machine learning and optimization.
Mathematical Optimization Theory And Operations Research Recent Trends
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Author : Alexander Strekalovsky
language : en
Publisher: Springer Nature
Release Date : 2021-09-20
Mathematical Optimization Theory And Operations Research Recent Trends written by Alexander Strekalovsky and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-20 with Mathematics categories.
This book constitutes refereed proceedings of the 20th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2021, held in Irkutsk, Russia, in July 2021. Due to the COVID-19 pandemic the conference was held online. The 31 full papers and 3 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: continuous optimization; integer programming and combinatorial optimization; operational research applications; optimal control.
Mathematical Optimization Theory And Operations Research Recent Trends
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Author : Michael Khachay
language : en
Publisher: Springer Nature
Release Date : 2023-09-20
Mathematical Optimization Theory And Operations Research Recent Trends written by Michael Khachay and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-20 with Mathematics categories.
This book constitutes refereed proceedings of the 22nd International Conference on Mathematical Optimization Theory and Operations Research: Recent Trends, MOTOR 2023, held in Ekaterinburg, Russia, during July 2–8, 2023. The 28 full papers and one invited paper presented in this volume were carefully reviewed and selected from a total of 61 submissions. The papers in the volume are organized according to the following topical headings: mathematical programming; stochastic optimization; discrete and combinatorial optimization; operations research; optimal control and mathematical economics; and optimization in machine learning.
Mathematical Optimization Theory And Operations Research Recent Trends
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Author : Yury Kochetov
language : en
Publisher: Springer Nature
Release Date : 2022-09-29
Mathematical Optimization Theory And Operations Research Recent Trends written by Yury Kochetov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-29 with Mathematics categories.
This book constitutes refereed proceedings of the 21st International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2022, held in Petrozavodsk, Russia, in July 2022. The 21 full papers and 3 short papers presented in this volume were carefully reviewed and selected from a total of 88 submissions. The papers in the volume are organised according to the following topical headings: invited talks; integer programming and combinatorial optimization; mathematical programming; game theory and optimal control; operational research applications.
Mathematical Optimization Theory And Operations Research
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Author : Michael Khachay
language : en
Publisher: Springer Nature
Release Date : 2023-06-25
Mathematical Optimization Theory And Operations Research written by Michael Khachay and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-25 with Mathematics categories.
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.
Mathematical Optimization Theory And Operations Research
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Author : I︠U︡. A. Kochetov
language : en
Publisher:
Release Date : 2022
Mathematical Optimization Theory And Operations Research written by I︠U︡. A. Kochetov and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Mathematical optimization categories.
This book constitutes refereed proceedings of the 21st International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2022, held in Petrozavodsk, Russia, in July 2022. The 21 full papers and 3 short papers presented in this volume were carefully reviewed and selected from a total of 88 submissions. The papers in the volume are organised according to the following topical headings: invited talks; integer programming and combinatorial optimization; mathematical programming; game theory and optimal control; operational research applications.
Mathematical Optimization Theory And Operations Research Recent Trends
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Author : Anton Eremeev
language : en
Publisher: Springer
Release Date : 2024-10-30
Mathematical Optimization Theory And Operations Research Recent Trends written by Anton Eremeev and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-30 with Computers categories.
This book constitutes the revised selected papers from the 23rd International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2024, held in Omsk, Russia from June 30 to July 06, 2024. The 26 full papers included in this book were carefully reviewed and selected from 79 submissions. These papers have been organized in the following topical sections: Mathematical programming; Combinatorial optimization; Operations research; and Machine learning and optimization.
Mathematical Optimization Theory And Operations Research Recent Trends
DOWNLOAD
Author : Michael Khachay
language : en
Publisher: Springer
Release Date : 2023-10-30
Mathematical Optimization Theory And Operations Research Recent Trends written by Michael Khachay and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-30 with Mathematics categories.
This book constitutes refereed proceedings of the 22nd International Conference on Mathematical Optimization Theory and Operations Research: Recent Trends, MOTOR 2023, held in Ekaterinburg, Russia, during July 2–8, 2023. The 28 full papers and one invited paper presented in this volume were carefully reviewed and selected from a total of 61 submissions. The papers in the volume are organized according to the following topical headings: mathematical programming; stochastic optimization; discrete and combinatorial optimization; operations research; optimal control and mathematical economics; and optimization in machine learning.
Mathematical Optimization Theory And Operations Research Recent Trends
DOWNLOAD
Author : Alexander Strekalovsky
language : en
Publisher:
Release Date : 2021
Mathematical Optimization Theory And Operations Research Recent Trends written by Alexander Strekalovsky and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
This book constitutes refereed proceedings of the 20th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2021, held in Irkutsk, Russia, in July 2021. Due to the COVID-19 pandemic the conference was held online. The 31 full papers and 3 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: continuous optimization; integer programming and combinatorial optimization; operational research applications; optimal control.
Modern Optimization Methods For Decision Making Under Risk And Uncertainty
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Author : Alexei A. Gaivoronski
language : en
Publisher: CRC Press
Release Date : 2023-10-06
Modern Optimization Methods For Decision Making Under Risk And Uncertainty written by Alexei A. Gaivoronski and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-06 with Computers categories.
The book comprises original articles on topical issues of risk theory, rational decision making, statistical decisions, and control of stochastic systems. The articles are the outcome of a series international projects involving the leading scholars in the field of modern stochastic optimization and decision making. The structure of stochastic optimization solvers is described. The solvers in general implement stochastic quasi-gradient methods for optimization and identification of complex nonlinear models. These models constitute an important methodology for finding optimal decisions under risk and uncertainty. While a large part of current approaches towards optimization under uncertainty stems from linear programming (LP) and often results in large LPs of special structure, stochastic quasi-gradient methods confront nonlinearities directly without need of linearization. This makes them an appropriate tool for solving complex nonlinear problems, concurrent optimization and simulation models, and equilibrium situations of different types, for instance, Nash or Stackelberg equilibrium situations. The solver finds the equilibrium solution when the optimization model describes the system with several actors. The solver is parallelizable, performing several simulation threads in parallel. It is capable of solving stochastic optimization problems, finding stochastic Nash equilibria, and of composite stochastic bilevel problems where each level may require the solution of stochastic optimization problem or finding Nash equilibrium. Several complex examples with applications to water resources management, energy markets, pricing of services on social networks are provided. In the case of power system, regulator makes decision on the final expansion plan, considering the strategic behavior of regulated companies and coordinating the interests of different economic entities. Such a plan can be an equilibrium − a planned decision where a company cannot increase its expected gain unilaterally.