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Random graphs, geometry, and asymptotic structure / Michael Krivelevich [and three others] ; edited by Nikolaos Fountoulakis, Dan Hefetz.

By: Contributor(s): Material type: TextTextSeries: London Mathematical Society student texts ; 84.Publisher: Cambridge : Cambridge University Press, 2016Description: 1 online resource (vi, 122 pages) : digital, PDF file(s)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781316479988 (ebook)
Other title:
  • Random Graphs, Geometry & Asymptotic Structure
Subject(s): Additional physical formats: Print version: : No titleDDC classification:
  • 511/.5 23
LOC classification:
  • QA166.17 .K75 2016
Online resources: Summary: The theory of random graphs is a vital part of the education of any researcher entering the fascinating world of combinatorics. However, due to their diverse nature, the geometric and structural aspects of the theory often remain an obscure part of the formative study of young combinatorialists and probabilists. Moreover, the theory itself, even in its most basic forms, is often considered too advanced to be part of undergraduate curricula, and those who are interested usually learn it mostly through self-study, covering a lot of its fundamentals but little of the more recent developments. This book provides a self-contained and concise introduction to recent developments and techniques for classical problems in the theory of random graphs. Moreover, it covers geometric and topological aspects of the theory and introduces the reader to the diversity and depth of the methods that have been devised in this context.
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Title from publisher's bibliographic system (viewed on 05 May 2016).

The theory of random graphs is a vital part of the education of any researcher entering the fascinating world of combinatorics. However, due to their diverse nature, the geometric and structural aspects of the theory often remain an obscure part of the formative study of young combinatorialists and probabilists. Moreover, the theory itself, even in its most basic forms, is often considered too advanced to be part of undergraduate curricula, and those who are interested usually learn it mostly through self-study, covering a lot of its fundamentals but little of the more recent developments. This book provides a self-contained and concise introduction to recent developments and techniques for classical problems in the theory of random graphs. Moreover, it covers geometric and topological aspects of the theory and introduces the reader to the diversity and depth of the methods that have been devised in this context.

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