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Network-System Research and Distributed Composite Algorithm Design

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Network-System Research and Distributed Composite Algorithm Design

Huaqing Li, Qingguo Lü, Dawen Xia, Xin Wang, Zheng Wang, Lifeng Zheng, Jun Li, Liang Ran (Gebundene Ausgabe, Englisch)

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Beschreibung

With the rapid advancement of sensor technology and digital system, the capabilities of network communication have significantly improved, allowing multiple computing nodes to exchange information and collaborate seamlessly through networks. This progress has accelerated the development of distributed optimization theory and its applications in emerging fields such as low altitude economy, big data, and artificial intelligence. These emerging domains usually involve solving complex large-scale optimization problems, making it difficult for traditional centralized methods to handle. Therefore, it is necessary to study distributed algorithms to solve complex optimization problems in large-scale networked systems. In addition, the emergence of applications of large language model further stimulates researchers’ growing interest in distributed optimization. This book provides the advanced methods and techniques of distributed optimization in networked systems, and thus is necessary and important for the research community. This book focuses on designing high-performance algorithms for solving more practical and complex optimization problems (multi-block optimization, composite optimization, constrained optimization, optimization with diversity objective functions, etc.) in the context of distributed optimization in networked systems and their successful application to real-world applications (model predictive control, smart grids, etc.). Readers may be particularly interested in the book on consensus and optimization protocols, forward-backward splitting methods, proximal gradient methods, primal-dual methods, fixed point methods, asynchronous communication/computaion mechanisms, randomized block coordinate techniques, operator splitting schemes, uncoordinated step sizes strategies, etc., in the process of distributed optimization in various networked systems. This book will introduce readers to the latest and advanced techniques in “Network-System Research and Distributed Composite Algorithm Design”, and help them develop their own novel distributed algorithms that have practical applications. The prerequisite for understanding this book is to master basic mathematical knowledge, including graph theory, matrix theory, linear algebra, probability theory, etc. This book is meant for the researcher and engineer who uses distributed optimization algorithms in fields like control theory, electronic information, artificial intelligence, and computer science, etc. It can also serve as complementary reading for distributed optimization in networked systems at the post-graduate level. Weniger zeigen

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Produktinformationen

Technische Daten

Erscheinungsdatum

25.11.2025

Sprache

Englisch

EAN

9789819509102

Herausgeber

Springer Singapore

Serien- oder Bandtitel

Computational Intelligence Methods and Applications

Sonderedition

Nein

Autor

Huaqing Li, Qingguo Lü, Dawen Xia, Xin Wang, Zheng Wang, Lifeng Zheng, Jun Li, Liang Ran

Seitenanzahl

241

Einbandart

Gebundene Ausgabe

Schlagwörter

Non-smooth Composite Optimization, Network System, Multi-block Optimization, Constrained Optimization, Distributed Algorithm, Operator Splitting Method, Primal-dual Method, Fixed Point Method, Proximal Gradient Method, Asynchronous Iteration, Model Predictive Control

Thema-Inhalt

UYA - Theoretische Informatik UK - Computerhardware

Höhe

235 mm

Breite

15.5 cm

Hersteller: Springer, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH

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