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Multi-agent optimizationCetraro, Ita...

(1998 :)

Multi-agent optimizationCetraro, Italy 2014 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Multi-agent optimizationby Angelia Nedic ... [et al.].
Reminder of title:	Cetraro, Italy 2014 /
other author:	Nedic, Angelia.
corporate name:
Published:	Cham :Springer International Publishing :2018.
Description:	vii, 310 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Mathematical optimization
Online resource:	https://doi.org/10.1007/978-3-319-97142-1
ISBN:	9783319971421$q(electronic bk.)

Multi-agent optimizationCetraro, Italy 2014 /
Multi-agent optimizationCetraro, Italy 2014 /[electronic resource] :by Angelia Nedic ... [et al.]. - Cham :Springer International Publishing :2018. - vii, 310 p. :ill. (some col.), digital ;24 cm. - Lecture notes in mathematics,22240075-8434 ;. - Lecture notes in mathematics ;2035..

This book contains three well-written research tutorials that will allow the reader to easily get to 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.

ISBN: 9783319971421$q(electronic bk.)

Standard No.: 10.1007/978-3-319-97142-1doiSubjects--Topical Terms:

252884
Mathematical optimization

LC Class. No.: QA402.5

Dewey Class. No.: 519.6

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490 1 $a Lecture notes in mathematics, $x 0075-8434 ; $v 2224
520 $a This book contains three well-written research tutorials that will allow the reader to easily get to 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.
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