Free delivery for orders over 69.99€

Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Free delivery for purchases over 69.99 €

Speedy courier 3.49 € Speedy point 3.49 € Еконт courier 3.99 € Еконтомат/Офис на Еконт 3.99 € Ekont Box 3.99 € Sameday courier 3.99 € Sameday Box 3.99 € Box Now 3.99 €

Contact

How to shop

Help

My account

▸ Empty :-(

Free delivery for orders over 69.99€

Distributed Optimization in Networked Systems

Name: Distributed Optimization in Networked Systems
Brand: Springer, Berlin
SKU: 44706750
Price: 184.67 EUR
Availability: InStock
Author: Qingguo Lü
ISBN: 9789811985614

Algorithms and Applications

Language

English

Book Paperback

Libristo code: 44706750

Publishers Springer, Berlin, November 2023

This book focuses on improving the performance (convergence rate, communication efficiency, computat... Full description

Libristo code: 44706750

446 b

184.67 €

361.19 лв

In stock at our supplier Shipping in 8-11 days

Up to 30 days for returns

Customers also purchased

L'espérance Elie

Paperback

9.79 € 19.14 лв

Little Blue Dot 3 SB with App Book

Paperback

15.13 € 29.58 лв

Mitarbeitergesprach als Instrument der Personalfuhrung unter besonderer Berucksichtigung des Feedbacks Christian Schultka

Paperback

18.08 € 35.36 лв

Draw With Rob: Nature Rob Biddulph

Paperback

9.27 € 18.13 лв

Germanisches Sagen- und Marchenbuch C. Schmidt

Paperback

17.15 € 33.54 лв

Le Cueilleur de lumière Edwige Cabelo

Adobe ePub DRM

2.95 € 5.77 лв

Body Psychology Kantamneni Radhakrishna Murthy

Paperback

21.29 € 41.64 лв

Médecine Justice - Crime en bande organisée - Annexes Catherine Nikaise

Paperback

19.06 € 37.29 лв

Moja pierwsza encyklopedia Opracowanie zbiorowe

Hardback

5.23 € 10.23 лв

A BOUT DE BRAS CLARINETTE GEORGES APERGHIS Book

binding.

49.74 € 97.28 лв

Neuf histoires pour endormir les sales gosses Berteaud

Paperback

18.70 € 36.58 лв

This book focuses on improving the performance (convergence rate, communication efficiency, computational efficiency, etc.) of algorithms in the context of distributed optimization in networked systems and their successful application to real-world applications (smart grids and online learning). Readers may be particularly interested in the sections on consensus protocols, optimization skills, accelerated mechanisms, event-triggered strategies, variance-reduction communication techniques, etc., in connection with distributed optimization in various networked systems. This book offers a valuable reference guide for researchers in distributed optimization and for senior undergraduate and graduate students alike.