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Electronic Colloquium on Computational Complexity
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REPORTS > KEYWORD > MARKOV CHAIN MONTE CARLO:
Reports tagged with Markov Chain Monte Carlo:
TR00-079 | 12th September 2000
Mark Jerrum, Eric Vigoda

A polynomial-time approximation algorithm for the permanent of a matrix with non-negative entries

We present a fully-polynomial randomized approximation scheme for computing the permanent of an arbitrary matrix with non-negative entries. more >>>

TR04-009 | 22nd January 2004
Martin Dyer, Alan Frieze, Thomas P. Hayes, Eric Vigoda

Randomly coloring constant degree graphs

We study a simple Markov chain, known as the Glauber dynamics, for generating a random k-coloring of a n-vertex graph with maximum degree Δ. We prove that the dynamics converges to a random coloring after O(n log n) steps assuming kk0 for some absolute constant k0, and either: ... more >>>

TR05-151 | 7th December 2005
Magnus Bordewich, Martin Dyer, Marek Karpinski

Metric Construction, Stopping Times and Path Coupling.

In this paper we examine the importance of the choice of metric in path coupling, and the relationship of this to \emph{stopping time analysis}. We give strong evidence that stopping time analysis is no more powerful than standard path coupling. In particular, we prove a stronger theorem for path coupling ... more >>>



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