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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.
Published by: Springer
Publication Date: 2022-01-06
Format: Paperback
ISBN-13: 9789813345300
DOI: 10.1007/978-981-33-4528-7
Dimensions: 235.0cm x155.0cm
Pages: 217.0