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Generating a Random Sink-Free Orientation (2007)

Abstract
A sink-free orientation of a nite undirected graph is a choice of orientation for each edge such that every vertex has out-degree at least 1. Bubley and Dyer (1997) use Markov Chain Monte Carlo to sample approximately from the uniform distribution on sink-free orientations in time O(m of edges and " the degree of approximation. Huber (1998) uses coupling from the past to obtain an exact sample in time O(m ). We present a simple randomized algorithm inspired by Wilson's cycle popping method which obtains an exact sample in mean time at most O(nm), where n is the number of vertices.

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Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.9.5228
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Type text
Language English
Relation 10.1.1.27.1022, 10.1.1.38.8695, 10.1.1.123.5608, 10.1.1.42.5733, 10.1.1.126.3212, 10.1.1.51.2761, 10.1.1.30.2012, 10.1.1.32.2125