Random Generation Using Binomial Approximations - Archive ouverte HAL
Communication Dans Un Congrès Discrete Mathematics and Theoretical Computer Science Année : 2010

Random Generation Using Binomial Approximations

Résumé

Generalizing an idea used by Alonso to generate uniformly at random Motzkin words, we outline an approach to build efficient random generators using binomial distributions and rejection algorithms. As an application of this method, we present random generators, both efficient and easy to implement, for partial injections and colored unary-binary trees.
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Dates et versions

hal-01185570 , version 1 (20-08-2015)

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Dominique Gouyou-Beauchamps, Cyril Nicaud. Random Generation Using Binomial Approximations. 21st International Meeting on Probabilistic, Combinatorial, and Asymptotic Methods in the Analysis of Algorithms (AofA'10), 2010, Vienna, Austria. pp.359-372, ⟨10.46298/dmtcs.2772⟩. ⟨hal-01185570⟩
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