Edité par Society for Industrial and Applied Mathematics, 2016
ISBN 10 : 1611974216 ISBN 13 : 9781611974218
Langue: anglais
Vendeur : Zubal-Books, Since 1961, Cleveland, OH, Etats-Unis
EUR 46,62
Quantité disponible : 1 disponible(s)
Ajouter au panierEtat : Fine. *Price HAS BEEN REDUCED by 10% until Monday, Dec. 8 (sale item)* 250 pp., paperback, bottom corner slightly rubbed, else fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
Edité par Society For Industrial & Applied Mathematics,U.S., 2016
ISBN 10 : 1611974216 ISBN 13 : 9781611974218
Langue: anglais
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 94,01
Quantité disponible : 2 disponible(s)
Ajouter au panierPaperback. Etat : Brand New. 249 pages. 10.00x7.00x0.60 inches. In Stock.
Edité par Society for Industrial and Applied Mathematics,U.S., US, 2016
ISBN 10 : 1611974216 ISBN 13 : 9781611974218
Langue: anglais
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
EUR 119,25
Quantité disponible : 4 disponible(s)
Ajouter au panierPaperback. Etat : New. This is the first comprehensive book on the AIMD algorithm, the most widely used method for allocating a limited resource among competing agents without centralized control. The authors offer a new approach that is based on positive switched linear systems. It is used to develop most of the main results found in the book, and fundamental results on stochastic switched nonnegative and consensus systems are derived to obtain these results.The original and best known application of the algorithm is in the context of congestion control and resource allocation on the Internet, and readers will find details of several variants of the algorithm in order of increasing complexity, including deterministic, random, linear, and nonlinear versions. In each case, stability and convergence results are derived based on unifying principles. Basic and fundamental properties of the algorithm are described, examples are used to illustrate the richness of the resulting dynamical systems, and applications are provided to show how the algorithm can be used in the context of smart cities, intelligent transportation systems, and the smart grid.
Edité par Society for Industrial & Applied Mathematics, 2016
ISBN 10 : 1611974216 ISBN 13 : 9781611974218
Langue: anglais
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 115,84
Quantité disponible : 3 disponible(s)
Ajouter au panierEtat : New. pp. 250.
Edité par Society for Industrial & Applied Mathematics, 2016
ISBN 10 : 1611974216 ISBN 13 : 9781611974218
Langue: anglais
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 121,19
Quantité disponible : 3 disponible(s)
Ajouter au panierEtat : New. pp. 250.
Edité par Society for Industrial and Applied Mathematics,U.S., US, 2016
ISBN 10 : 1611974216 ISBN 13 : 9781611974218
Langue: anglais
Vendeur : Rarewaves.com UK, London, Royaume-Uni
EUR 113,63
Quantité disponible : 4 disponible(s)
Ajouter au panierPaperback. Etat : New. This is the first comprehensive book on the AIMD algorithm, the most widely used method for allocating a limited resource among competing agents without centralized control. The authors offer a new approach that is based on positive switched linear systems. It is used to develop most of the main results found in the book, and fundamental results on stochastic switched nonnegative and consensus systems are derived to obtain these results.The original and best known application of the algorithm is in the context of congestion control and resource allocation on the Internet, and readers will find details of several variants of the algorithm in order of increasing complexity, including deterministic, random, linear, and nonlinear versions. In each case, stability and convergence results are derived based on unifying principles. Basic and fundamental properties of the algorithm are described, examples are used to illustrate the richness of the resulting dynamical systems, and applications are provided to show how the algorithm can be used in the context of smart cities, intelligent transportation systems, and the smart grid.