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Entropic Uniform Sampling of Linear Extensions in Series-Parallel Posets

Abstract

In this paper, we introduce a uniform random sampler for linear extensions of Series-Parallel posets. The algorithms we present ensure an essential property of random generation algorithms: entropy. They are in a sense optimal in their consumption of random bits.
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Dates and versions

hal-01476189 , version 1 (24-02-2017)

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  • HAL Id : hal-01476189 , version 1

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Olivier Bodini, Matthieu Dien, Antoine Genitrini, Frédéric Peschanski. Entropic Uniform Sampling of Linear Extensions in Series-Parallel Posets. Computer Science Symposium in Russia, 2017, Kazan, Russia. ⟨hal-01476189⟩
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