Multi-agent Optimization - Cetraro, Italy 2014 (Paperback, 1st ed. 2018)

This book contains three well-written research tutorials that inform the graduate reader about the forefront of current research in multi-agent optimization. These tutorials cover topics that have not yet found their way in standard books and offer the reader the unique opportunity to be guided by major researchers in the respective fields. Multi-agent optimization, lying at the intersection of classical optimization, game theory, and variational inequality theory, is at the forefront of modern optimization and has recently undergone a dramatic development. It seems timely to provide an overview that describes in detail ongoing research and important trends. This book concentrates on Distributed Optimization over Networks; Differential Variational Inequalities; and Advanced Decomposition Algorithms for Multi-agent Systems. This book will appeal to both mathematicians and mathematically oriented engineers and will be the source of inspiration for PhD students and researchers.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	C.I.M.E. Foundation Subseries, 2224
Release date:	November 2018
First published:	2018
Authors:	Angelia Nedic • Jong-Shi Pang • Gesualdo Scutari • Ying Sun
Editors:	Francisco Facchinei • Jong-Shi Pang
Dimensions:	235 x 155 x 16mm (L x W x T)
Format:	Paperback
Pages:	310
Edition:	1st ed. 2018
ISBN-13:	978-3-319-97141-4
Categories:	Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Science & Mathematics > Mathematics > Optimization > General Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Promotions
LSN:	3-319-97141-7
Barcode:	9783319971414

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