Abstract | ||
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We investigate some local properties which hold with high probability for randomly selected colorings of a fixed graph with no short cycles. In a number of related works, establishing these particular properties has been a crucial step towards proving rapid convergence for the single-site Glauber dynamics, a Markov chain for sampling colorings uniformly at random. For a large class of graphs, this approach yields the most efficient known algorithms for sampling random colorings. (c) 2013 Wiley Periodicals, Inc. |
Year | DOI | Venue |
---|---|---|
2013 | 10.1002/rsa.20502 | RANDOM STRUCTURES & ALGORITHMS |
Keywords | Field | DocType |
Markov chains,mixing times,graph coloring | Glauber,Discrete mathematics,Random regular graph,Markov chain mixing time,Combinatorics,Random graph,Markov chain,Sampling (statistics),Greedy coloring,Mathematics,Graph coloring | Journal |
Volume | Issue | ISSN |
43.0 | 2.0 | 1042-9832 |
Citations | PageRank | References |
1 | 0.35 | 6 |
Authors | ||
1 |
Name | Order | Citations | PageRank |
---|---|---|---|
Thomas P. Hayes | 1 | 659 | 54.21 |