Research and Markets, the largest resource for market research information in world providing essential market research reports, industry research, industry analysis, forecasts, market studies, company profiles and country reports.
Welcome - Register - Login - Help/FAQ - 0 items View Basket
Worlds Largest Market Research Resource - 1516407 Live Reports
Search Research and Markets
  Search
Enter keywords, a title or
a report id number below.





Advanced   
Company search
Register for free email updates of market research
Currency
  Select a currency for use throughout the site



Viewing report

Order by Fax
Ask a Question
Printer Friendly
PDF Brochure
Hard CopyAdd to Basket
Live Chat Live Help Software for Website

RGG on a Class of Densities with Unbounded Supports. Edition No. 1

VDM Publishing House, Dec 2010, Pages: 152


  Description  
   Authors   
    
    
    
     
  Enquire before Buying   
  Send to a Friend   

The study of random geometric graphs begins with Gilbert (1961) in his paper titled as 'Random Plane Networks' published in Journal of the Society for Industrial Applied Mathematic. In this thesis, we study the RGG, whose vertices have the densities with unbounded support. We study the various properties of RGG and are interested in both exact and asymptotic results for one-dimensional as well as d-dimensional (d > 1). % The thesis is divided in four chapters. Chapter 1 introduces the concept and the utility of RGG and gives an idea about the techniques and tool which are used in the thesis. % In chapter 2 we study the one dimensional random geometric (random interval) graph when the location of the nodes are independent and exponentially distributed. We derive exact results and limit theorems for the connectivity and other properties associated with this random graph. We show that the asymptotic properties of a graph with a truncated exponential distribution can be obtained using the exponential random geometric graph. % In chapter 3 we prove the criticality of the exponential rate of decay for the largest nearest neighbor link in RGG. %



For enquiries please call us on:
  +353-1-415-1241 (GMT Office Hours)
  1-917-300-0470 (EST Office Hours)

   All rights reserved. © Copyright 2012 Research and Markets
   Terms and conditions Privacy Policy Publishers Employment Opportunities Site Map Link to us Webmaster Affiliate Network


Research and Markets RSS Feeds