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Multi-agent optimization Cetraro, Italy 2014 /

"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...

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Bibliographic Details
Corporate Authors: C.I.M.E. Summer School in Applied Mathematics Cetraro, Italy, SpringerLink (Online service)
Other Authors: Nedić, Angelia (Contributor), Pang, Jong-Shi (Contributor, Editor), Scutari, Gesualdo (Contributor), Sun, Ying, 1989- (Contributor), Facchinei, Francisco (Editor)
Format: Conference Proceeding eBook
Language:English
Published: Cham, Switzerland : Springer, 2018.
Series:Lecture notes in mathematics (Springer-Verlag). CIME Foundation subseries.
Lecture notes in mathematics (Springer-Verlag) ; 2224.
Physical Description:
1 online resource (vii, 310 pages) : illustrations (some color).
Subjects:
Online Access:SpringerLink - Click here for access

MARC

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245 1 0 |a Multi-agent optimization :  |b Cetraro, Italy 2014 /  |c Angelia Nedić, Jong-Shi Pang, Gesualdo Scutari, Ying Sun ; Francisco Facchinei, Jong-Shi Pang, editors. 
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500 |a "This volume collects lecture notes that stem from courses taught at CIME Summer School in applied mathematics ... held at the Hotel San Michele, Cetraro, Italy, from June 23 to June 28, 2014"--Preface. 
504 |a Includes bibliographical references. 
505 0 |a Distributed optimization over networks / Angelia Nedić -- Five lectures on differential variational inequalities / Jong-Shi Pang -- Parallel and distributed successive convex approximation methods for big-data optimization / Gesualdo Scutari and Ying Sun. 
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"--Print version, page 4 of cover. 
588 0 |a Online resource; title from PDF title page (SpringerLink, viewed November 9, 2018). 
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