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Information Theory, Mathematical Optimization, and Their Crossroads in 6G System Design

Author : Shih-Chun Lin
Publisher : Springer Nature
Page : 403 pages
File Size : 28,84 MB
Release : 2022-09-18
Category : Technology & Engineering
ISBN : 9811920168

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This book provides a broad understanding of the fundamental tools and methods from information theory and mathematical programming, as well as specific applications in 6G and beyond system designs. The contents focus on not only both theories but also their intersection in 6G. Motivations are from the multitude of new developments which will arise once 6G systems integrate new communication networks with AIoT (Artificial Intelligence plus Internet of Things). Design issues such as the intermittent connectivity, low latency, federated learning, IoT security, etc., are covered. This monograph provides a thorough picture of new results from information and optimization theories, as well as how their dialogues work to solve aforementioned 6G design issues.

Artificial Intelligence of Things (AIoT) for Productivity and Organizational Transition

Author : Rezaei, Sajad
Publisher : IGI Global
Page : 387 pages
File Size : 42,30 MB
Release : 2024-03-11
Category : Computers
ISBN :

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In the dynamic intersection of cutting-edge technology and evolving business strategies, the fusion of Artificial Intelligence (AI) and the Internet of Things (IoT) has given rise to a revolutionary paradigm known as Artificial Intelligence of Things (AIoT). This emerging technological powerhouse offers boundless possibilities while presenting formidable challenges, and organizations worldwide are wrestling with its integration into their core operations. Artificial Intelligence of Things (AIoT) for Productivity and Organizational Transition introduces the fundamental concepts underpinning AIoT integration and the evolving landscape of AIoT research and development, then delves deep into the theoretical foundations of AIoT, examining it through the lenses of economics, behavioral science, technology, psychology, and organizational theory. Within its pages, readers will discover insights into the tools, methods, design factors, user interfaces, and techniques driving AIoT innovation.

System Modelling and Optimization

Author : M.J.D. Powell
Publisher : Springer
Page : 348 pages
File Size : 12,96 MB
Release : 2013-03-20
Category : Technology & Engineering
ISBN : 0387355146

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System Modelling and Optimization covers research issues within systems theory, optimization, modelling, and computing. It includes contributions to structural mechanics, integer programming, nonlinear programming, interior point methods, dynamical systems, stability analysis, stochastic optimization, bilevel optimization, and semidefinite programming. Several survey papers written by leading experts in their fields complement new developments in theory and applications. This book contains most of the invited papers and a few carefully selected submitted papers that were presented at the 19th IFIP TC7 Conference on System Modelling and Optimization, which was held in Cambridge, England, from July 12 to 16, 1999, and sponsored by the International Federation for Information Processing (IFIP).

Mathematical Optimization Theory and Operations Research: Recent Trends

Author : Alexander Strekalovsky
Publisher : Springer Nature
Page : 515 pages
File Size : 31,1 MB
Release : 2021-09-20
Category : Mathematics
ISBN : 3030864332

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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

Author : Michael Khachay
Publisher : Springer Nature
Page : 459 pages
File Size : 49,36 MB
Release : 2023-06-25
Category : Mathematics
ISBN : 3031353056

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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

Author : Panos Pardalos
Publisher : Springer
Page : 315 pages
File Size : 49,91 MB
Release : 2022-06-26
Category : Mathematics
ISBN : 9783031096068

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This book constitutes the 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 presented together with 6 invited abstracts lectures and 2 tutorial abstracts in this volume were carefully reviewed and selected from 88 submissions. The conference focuses on the following topics: Mathematical programming, bi-level and global optimization, integer programming and combinatorial optimization, approximation algorithms with theoretical guarantees and approximation schemes, heuristics and meta-heuristics, game theory, optimal control, optimization in machine learning and data analysis, and their valuable applications in operations research and economics.

Mathematical Optimization Theory and Operations Research

Author : Panos Pardalos
Publisher : Springer
Page : 493 pages
File Size : 17,60 MB
Release : 2021-06-14
Category : Computers
ISBN : 9783030778750

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This book constitutes the proceedings of the 20th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2021, held in Irkutsk, Russia, in July 2021. The 29 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 102 submissions. Additionally, 2 full invited papers are presented in the volume. The papers are grouped in the following topical sections: ​combinatorial optimization; mathematical programming; bilevel optimization; scheduling problems; game theory and optimal control; operational research and mathematical economics; data analysis.

Mathematical Optimization Theory and Operations Research: Recent Trends

Author : Yury Kochetov
Publisher : Springer
Page : 0 pages
File Size : 20,79 MB
Release : 2022-10-01
Category : Mathematics
ISBN : 9783031162237

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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

Author : Michael Khachay
Publisher : Springer
Page : 0 pages
File Size : 44,2 MB
Release : 2023-10-30
Category : Mathematics
ISBN : 9783031432569

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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.