Distributed Optimization: Advances in Theories, Methods, and Applications (Hardcover, 1st ed. 2020)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	August 2020
First published:	2020
Authors:	Huaqing Li • Qingguo Lu • Zheng Wang • Xiaofeng Liao • Tingwen Huang
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	243
Edition:	1st ed. 2020
ISBN-13:	978-981-15-6108-5
Categories:	Books > Computing & IT > Computer communications & networking > General Books > Science & Mathematics > Mathematics > Optimization > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	981-15-6108-7
Barcode:	9789811561085

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