Title
How many random edges make a dense graph Hamiltonian?
Abstract
This paper investigates the number of random edges required to add to an arbitrary dense graph in order to make the resulting graph Hamiltonian with high probability. Adding Θ(n) random edges is both necessary and sufficient to ensure this for all such dense graphs. If, however, the original graph contains no large independent set, then many fewer random edges are required. We prove a similar result for directed graphs.
Year
DOI
Venue
2003
10.1002/rsa.10070
Random Struct. Algorithms
Keywords
Field
DocType
large independent set,dense graph,similar result,high probability,resulting graph hamiltonian,fewer random edge,arbitrary dense graph,original graph,random edge,independent set
Discrete mathematics,Random regular graph,Combinatorics,Line graph,Random graph,Cycle graph,Mixed graph,Multiple edges,Mathematics,Dense graph,Complement graph
Journal
Volume
Issue
ISSN
22
1
Random Structures Algorithms 22(1) (2003), 33--42
Citations 
PageRank 
References 
16
1.19
3
Authors
3
Name
Order
Citations
PageRank
Tom Bohman125033.01
Alan M. Frieze24837787.00
Ryan Martin314414.43