Distributed Optimization, Game and Learning Algorithms

Beschreibung

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.
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.

Is the first professional book on the fusion of the distributed optimization, game, and learning theory and applications in smart grids Introduces the latest distributed optimization, game, and learning technology accompanied by strict step-by-step theoretical analysis, providing comprehensive guidance for professional researchers and college students Proposes the efficient, universal algorithms verified by the benchmark smart grid systems, and numerous application examples, which can help the reader to learn quickly

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Huiwei Wang

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Distributed Optimization Game Theory Learning Algorithms Smart Grid Systems Time-varying Topology

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