Springer Distributed Optimization, Game and Learning Algorithms: Theory and Applications in Smart Grid Systems

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. From the Back Cover 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. About the Author 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.