A very simple algorithm for estimating the number of k-colorings of a low-degree graph
Random Structures & Algorithms
A more rapidly mixing Markov chain for graph colorings
proceedings of the eighth international conference on Random structures and algorithms
Delayed path coupling and generating random permutations via distributed stochastic processes
Proceedings of the tenth annual ACM-SIAM symposium on Discrete algorithms
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Coupling vs. conductance for the Jerrum-Sinclair chain
Random Structures & Algorithms
Random Structures & Algorithms
An Extension of Path Coupling and Its Application to the Glauber Dynamics for Graph Colorings
SIAM Journal on Computing
Path coupling: A technique for proving rapid mixing in Markov chains
FOCS '97 Proceedings of the 38th Annual Symposium on Foundations of Computer Science
The Glauber dynamics on colourings of a graph with high girth and maximum degree
STOC '02 Proceedings of the thiry-fourth annual ACM symposium on Theory of computing
Randomly coloring graphs of girth at least five
Proceedings of the thirty-fifth annual ACM symposium on Theory of computing
SODA '04 Proceedings of the fifteenth annual ACM-SIAM symposium on Discrete algorithms
Random Structures & Algorithms
Approximate counting via correlation decay in spin systems
Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete Algorithms
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Recent results have shown that the Glauber dynamics for graph colorings has optimal mixing time when (i) the graph is triangle-free and Δ-regular and the number of colors k is a small constant fraction smaller than 2Δ, or (ii) the graph has maximum degree Δ and k = 2Δ. We extend both these results to prove that the Glauber dynamics has optimal mixing time when the graph has maximum degree Δ and the number of colors is a small constant fraction smaller than 2Δ.