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 guide...

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Detalles Bibliográficos
Autor Corporativo: SpringerLink (-)
Otros Autores: Nedić, Angelia. autor (autor), Pang, Jong-Shi, autor (editor), Scutari, Gesualdo, autor, Sun, Ying, autor, Facchinei, Francisco, editor, Pang, Jong-Shi, editor
Formato: Libro electrónico
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer 2018.
Colección:C.I.M.E. Foundation Subseries ; 2224.
Springer eBooks.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b38020488*spi
Descripción
Sumario: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.
Descripción Física:VII, 310 p. 28 il., 22 il. col
Formato:Forma de acceso: World Wide Web.
ISBN:9783319971421