Science-advisor
REGISTER info/FAQ
Login
username
password
     
forgot password?
register here
 
Research articles
  search articles
  reviews guidelines
  reviews
  articles index
My Pages
my alerts
  my messages
  my reviews
  my favorites
 
 
Stat
Members: 3645
Articles: 2'501'711
Articles rated: 2609

19 April 2024
 
  » arxiv » math.CO/0110203

 Article overview


Kolmogorov Random Graphs and the Incompressibility Method
Harry Buhrman ; Ming Li ; John Tromp ; Paul Vitanyi ;
Date 18 Oct 2001
Journal H. Buhrman, M. Li, J. Tromp and P.M.B. Vitanyi, Kolmogorov random graphs and the incompressibility method, SIAM J. Comput., 29:2(2000), 590--599
Subject Combinatorics MSC-class: 05C78, 94A17, 05C80, 05C70, 05C30, 05C35, 68R99 | math.CO
AffiliationCWI), Ming Li (University of Waterloo), John Tromp (CWI), and Paul Vitanyi (CWI and University of Amsterdam
AbstractWe investigate topological, combinatorial, statistical, and enumeration properties of finite graphs with high Kolmogorov complexity (almost all graphs) using the novel incompressibility method. Example results are: (i) the mean and variance of the number of (possibly overlapping) ordered labeled subgraphs of a labeled graph as a function of its randomness deficiency (how far it falls short of the maximum possible Kolmogorov complexity) and (ii) a new elementary proof for the number of unlabeled graphs.
Source arXiv, math.CO/0110203
Services Forum | Review | PDF | Favorites   
 
Visitor rating: did you like this article? no 1   2   3   4   5   yes

No review found.
 Did you like this article?

This article or document is ...
important:
of broad interest:
readable:
new:
correct:
Global appreciation:

  Note: answers to reviews or questions about the article must be posted in the forum section.
Authors are not allowed to review their own article. They can use the forum section.






ScienXe.org
» my Online CV
» Free


News, job offers and information for researchers and scientists:
home  |  contact  |  terms of use  |  sitemap
Copyright © 2005-2024 - Scimetrica