This book provides the fundamental theory of distributed optimization, game and learning. It includes those working directly in optimization,-and also many other issues like time-varying topology, communication delay, equality or inequality constraints,-and random projections. This book is meant for the researcher and engineer who uses distributed optimization, game and learning theory in fields like dynamic economic dispatch, demand response management and PHEV routing of smart grids.
Distributed Optimization Game Theory Learning Algorithms Smart Grid Systems Time-varying Topology
Authors and affiliations
3.Chongqing Jiaotong UniversityChongqingChina
About the authors
Huiwei WANG received his Ph.D. in Computer Science from Chongqing University, China, in 2014. Now, he is Associate Professor in Southwest University, China. He was Postdoctoral Research Associate with Texas A&M University at Qatar, from 2014 to 2016, and Research Fellow with the University of New South Wales, Australia, from 2019 to 2020.
Huaqing LI received his Ph.D. in Computer Science from Chongqing University, China, in 2013. Now, he is Professor in Southwest University, China. He was Postdoctoral Research Associate with the University of Sydney, Australia, from 2014 to 2015, and Research Fellow with Nanyang Technological University, Singapore from, 2015 to 2016.
Bo ZHOU received his Ph.D. in Applied Mathematics from Southwest University, China, in 2016. Now, he is Associate professor in Chongqing Jiaotong University, China.
Book TitleDistributed Optimization, Game and Learning Algorithms
Book SubtitleTheory and Applications in Smart Grid Systems
AuthorsHuiwei Wang Huaqing Li Bo Zhou
Copyright InformationThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.2021