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Potential-Base
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Condition:
Brand New
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US $4.99 (approx S$ 6.44) USPS Media MailTM.
Located in: Fresno, California, United States
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Estimated between Thu, 2 Oct and Tue, 7 Oct to 94104
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eBay item number:204386719229
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- Pages
- 172
- Publication Date
- 2017-03-23
- ISBN
- 9783319542881
About this product
Product Identifiers
Publisher
Springer International Publishing A&G
ISBN-10
3319542885
ISBN-13
9783319542881
eBay Product ID (ePID)
235400671
Product Key Features
Book Title
Potential-Based Analysis of Social, Communication, and Distributed Networks
Number of Pages
Xxvii, 172 Pages
Language
English
Publication Year
2017
Topic
Networking / General, General, Telecommunications, Applied
Illustrator
Yes
Genre
Mathematics, Computers, Technology & Engineering, Social Science
Book Series
Springer Theses Ser.
Format
Hardcover
Dimensions
Item Weight
150.3 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Dewey Edition
23
Number of Volumes
1 vol.
Dewey Decimal
006.754
Table Of Content
Introduction.- Notation and Mathematical Preliminaries.- Unbiased Quantized Consensus.- Metropolis Quantized Consensus.- Hegselmann-Krause Opinion Dynamics in Finite Dimensions.- Capacitated Selfish Replication Game.- Diffusion Games Over Social Networks.- Conclusions and Directions for Future Research.
Synopsis
Introduction.- Notation and Mathematical Preliminaries.- Unbiased Quantized Consensus.- Metropolis Quantized Consensus.- Hegselmann-Krause Opinion Dynamics in Finite Dimensions.- Capacitated Selfish Replication Game.- Diffusion Games Over Social Networks.- Conclusions and Directions for Future Research., This work makes major contributions to the thriving area of social, communication, and distributed networks by introducing novel methodologies and tools toward the study of the evolutionary behaviors of these networks, as well as their computational complexity and rates of convergence. By departing from the classical approaches and results in the literature, this work shows that it is possible to handle more complex and realistic nonlinear models where either the traditional approaches fail or lead to weak results. The author also develops several easily implementable algorithms, delivering excellent performance guarantees while running faster than those that exist in the literature. The study undertaken and the approaches adopted enable the analysis of the evolution of several different types of social and distributed networks, with the potential to apply to and resolve several other outstanding issues in such networks.
LC Classification Number
TK5101-5105.9
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Seller feedback (1,841)
- Évaluations automatiques eBay- Feedback left by buyer.Past monthCommande terminée - avec suivi et dans les délais
- h***h (1110)- Feedback left by buyer.Past monthVerified purchaseThank you
- _***_ (164)- Feedback left by buyer.Past monthVerified purchaseAll around great seller! Would buy from again!! Thank you!!!