Distributed Optimization: Advances in Theories, Methods, and Applications

Name: Distributed Optimization: Advances in Theories, Methods, and Applications
Brand: Springer Verlag, Singapore
SKU: 9789811561085
Price: 427.08 PLN
Availability: InStock

Autor: Qingguo Lv, Zheng Wang

Język:

Oprawa: Twarda

Wydawca: Springer Verlag, Singapore

Dostępność: Dostępna u dostawcy

Wysyłamy za 10-13 dni

427.08 zł

This book offers a valuable reference guide for researchers in distributed optimization and for seni...

Informacje o książce

Autor

Qingguo Lv, Zheng Wang

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2020

strony

243

EAN

9789811561085

ISBN

9811561087

Enbook ID

32791725

Wydawca

Springer Verlag, Singapore

Waga

565

Wymiary

155 x 235 x 20

Pełny opis

This book offers a valuable reference guide for researchers in distributed optimization and for senior undergraduate and graduate students alike. Focusing on the natures and functions of agents, communication networks and algorithms in the context of distributed optimization for networked control systems, this book introduces readers to the background of distributed optimization; recent developments in distributed algorithms for various types of underlying communication networks; the implementation of computation-efficient and communication-efficient strategies in the execution of distributed algorithms; and the frameworks of convergence analysis and performance evaluation. On this basis, the book then thoroughly studies 1) distributed constrained optimization and the random sleep scheme, from an agent perspective; 2) asynchronous broadcast-based algorithms, event-triggered communication, quantized communication, unbalanced directed networks, and time-varying networks, from a communication network perspective; and 3) accelerated algorithms and stochastic gradient algorithms, from an algorithm perspective. Finally, the applications of distributed optimization in large-scale statistical learning, wireless sensor networks, and for optimal energy management in smart grids are discussed.

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