Distributed Optimization, Game and Learning Algorithms
| Author | : Huiwei Wang |
| Publisher | : Springer Nature |
| Total Pages | : 227 |
| Release | : 2021-01-04 |
| ISBN-10 | : 9789813345287 |
| ISBN-13 | : 9813345284 |
| Rating | : 4/5 (284 Downloads) |
Book Synopsis Distributed Optimization, Game and Learning Algorithms by : Huiwei Wang
Download or read book Distributed Optimization, Game and Learning Algorithms written by Huiwei Wang and published by Springer Nature. This book was released on 2021-01-04 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
