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Multi-agent Optimization - Angelia Nedić, Jong-Shi Pang, Gesualdo Scutari, Ying Sun

Multi-agent Optimization

Cetraro, Italy 2014
Buch | Softcover
VII, 310 Seiten
2018 | 1st ed. 2018
Springer International Publishing (Verlag)
978-3-319-97141-4 (ISBN)
CHF 97,35 inkl. MwSt
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.

Preface.- Distributed Optimization over Networks by Angelia Nedich. -  Five Lectures on Differential Variational Inequalities by Jong-Shi Pang. - Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization by Gesualdo Scutari and Ying Sun.

Erscheinungsdatum
Reihe/Serie C.I.M.E. Foundation Subseries
Lecture Notes in Mathematics
Zusatzinfo VII, 310 p. 28 illus., 22 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 492 g
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Mathematik / Informatik Mathematik Analysis
Wirtschaft Betriebswirtschaft / Management
Schlagworte Differential Variational Inequalties • Distributed Optimization • multi-agent optimization • Network Optimization • parallel optimization
ISBN-10 3-319-97141-7 / 3319971417
ISBN-13 978-3-319-97141-4 / 9783319971414
Zustand Neuware
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