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The cover of “Product of Random Stochastic Matrices and Distributed Averaging” - Open Library.
Product of Random Stochastic Matrices and Distributed Averaging - cover - The Open Library
Book's cover - The Open Library
Product of Random Stochastic Matrices and Distributed Averaging - cover - Google Books
Book's cover - Google Books

"Product of Random Stochastic Matrices and Distributed Averaging" was published by Springer Berlin Heidelberg in 2012 - Berlin, Heidelberg, the book is classified in Technology & Engineering genre, it has 152 pages and the language of the book is English.


“Product of Random Stochastic Matrices and Distributed Averaging” Metadata:

  • Title: ➤  Product of Random Stochastic Matrices and Distributed Averaging
  • Author:
  • Language: English
  • Number of Pages: 152
  • Is Family Friendly: Yes - No Mature Content
  • Publisher: Springer Berlin Heidelberg
  • Publish Date:
  • Publish Location: Berlin, Heidelberg
  • Genres: Technology & Engineering

“Product of Random Stochastic Matrices and Distributed Averaging” Subjects and Themes:

Edition Specifications:

  • Format: [electronic resource] /

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The exposition, although highly rigorous and technical, is elegant and insightful, and accompanied with numerous illustrative examples, which makes this thesis work easily accessible to those just entering this field and will also be much ...

"Product of Random Stochastic Matrices and Distributed Averaging" Description:

Google Books:

The thesis deals with averaging dynamics in a multiagent networked system, which is a main mechanism for diffusing the information over such networks. It arises in a wide range of applications in engineered physical networks (such as mobile communication and sensor networks), as well as social and economic networks. The thesis provides in depth study of stability and other phenomena characterizing the limiting behavior of both deterministic and random averaging dynamics. By developing new concepts, and using the tools from dynamic system theory and non-negative matrix theory, several novel fundamental results are rigorously developed. These contribute significantly to our understanding of averaging dynamics as well as to non-negative random matrix theory. The exposition, although highly rigorous and technical, is elegant and insightful, and accompanied with numerous illustrative examples, which makes this thesis work easily accessible to those just entering this field and will also be much appreciated by experts in the field.

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  • Public Domain: No
  • Availability Status: Partially available
  • Availability Status for country: US.
  • Available Formats: Text is available, image copy is available.
  • Google Books Link: Google Books

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