Distributed Optimization and Learning
A Control-Theoretic Perspective
Zhengtao Ding author Zhongguo Li author
Format:Paperback
Publisher:Elsevier Science Publishing Co Inc
Published:23rd Jul '24
£115.00
Supplier delay - available to order, but may not be available until after 2nd December 2024.
Distributed Optimization and Learning: A Control-Theoretic Perspective illustrates the underlying principles of distributed optimization and learning. The book presents a systematic and self-contained description of distributed optimization and learning algorithms from a control-theoretic perspective. It focuses on exploring control-theoretic approaches and how those approaches can be utilized to solve distributed optimization and learning problems over network-connected, multi-agent systems. As there are strong links between optimization and learning, this book provides a unified platform for understanding distributed optimization and learning algorithms for different purposes.
ISBN: 9780443216367
Dimensions: unknown
Weight: 450g
286 pages