Multi-agent Optimization / Lecture Notes in Mathematics Bd.2224 (PDF)
Cetraro, Italy 2014
(Sprache: Englisch)
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...
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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.
Bibliographische Angaben
- Autoren: Angelia Nedic , Jong-Shi Pang , Gesualdo Scutari , Ying Sun
- 2018, 1st ed. 2018, 310 Seiten, Englisch
- Herausgegeben: Francisco Facchinei, Jong-Shi Pang
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319971425
- ISBN-13: 9783319971421
- Erscheinungsdatum: 01.11.2018
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Grösse: 6.62 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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