Multi-agent Optimization: Cetraro, Italy 2014 (Lecture Notes in Mathematics, 2224). Questo articolo non è disponibile.
Lingua: inglese
Editore: Springer, 2018
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- Nuovo

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Descrizione dell’articolo da parte del venditore
In English.
Codice articolo ria9783319971414_new
- Titolo
- Multi-agent Optimization: Cetraro, Italy 2014 (Lecture Notes in Mathematics, 2224)
- Autore
- Nedić, Angelia; Pang, Jong-Shi; Scutari, Gesualdo; Sun, Ying
- Editore
- Springer
- Anno di pubblicazione
- 2018
- Condizione
- New
- Rilegatura
- Brossura
- Lingua
- inglese
- ISBN 10
- 3319971417
- ISBN 13
- 9783319971414
- Peso dell'articolo
- 614 grammi
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.
"Riassunto" può appartenere a un’altra edizione di questo titolo.
Dalla quarta di copertina
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.
"Descrizione articolo" può appartenere a un’altra edizione di questo titolo.
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