03417nam 2200529 450 99654795780331620230512021232.0981-19-8559-610.1007/978-981-19-8559-1(MiAaPQ)EBC7194602(Au-PeEL)EBL7194602(CKB)26130493300041(DE-He213)978-981-19-8559-1(PPN)268206937(EXLCZ)992613049330004120230512d2023 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierDistributed optimization in networked systems algorithms and applications /Qingguo Lü [and four others]1st ed. 2023.Singapore :Springer Nature Singapore Pte Ltd,[2023]©20231 online resource (282 pages)Wireless Networks and Mobile Communications SeriesPrint version: Lü, Qingguo Distributed Optimization in Networked Systems Singapore : Springer,c2023 9789811985584 Includes bibliographical references.Chapter 1. Distributed Nesterov-Like Accelerated Algorithms in Networked Systems with Directed Communications -- Chapter 2. Distributed Stochastic Projected Gradient Algorithms for Composite Constrained Optimization in Networked Systems -- Chapter 3. Distributed Proximal Stochastic Gradient Algorithms for Coupled Composite Optimization in Networked Systems -- Chapter 4. Distributed Subgradient Algorithms Based on Event-Triggered Strategy in Networked Systems -- Chapter 5. Distributed Accelerated Stochastic Algorithms Based on Event-Triggered Strategy in Networked Systems -- Chapter 6. Event-Triggered Based Distributed Optimal Economic Dispatch in Smart Grids -- Chapter 7. Fast Distributed Optimal Economic Dispatch in Dynamic Smart Grids with Directed Communications -- Chapter 8. Accelerated Distributed Optimal Economic Dispatch in Smart Grids with Directed Communications -- Chapter 9. Privacy Preserving Distributed Online Learning with Time-Varying and Directed Communications.This book focuses on improving the performance (convergence rate, communication efficiency, computational efficiency, etc.) of algorithms in the context of distributed optimization in networked systems and their successful application to real-world applications (smart grids and online learning). Readers may be particularly interested in the sections on consensus protocols, optimization skills, accelerated mechanisms, event-triggered strategies, variance-reduction communication techniques, etc., in connection with distributed optimization in various networked systems. This book offers a valuable reference guide for researchers in distributed optimization and for senior undergraduate and graduate students alike.Wireless networks and mobile communications series.AlgorithmsComputer networksMathematical optimizationAlgorithms.Computer networks.Mathematical optimization.518.1Lü Qingguo1315666MiAaPQMiAaPQMiAaPQBOOK996547957803316Distributed optimization in networked systems3363612UNISA