Distributed Optimization: Advances in Theories, Methods, and Applications

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.