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Improvements to exact Boltzmann sampling using probabilistic divide-and-conquer and the recursive method Cover

Improvements to exact Boltzmann sampling using probabilistic divide-and-conquer and the recursive method

Pure Mathematics and Applications
Volume 26 (2017): Issue 1 (June 2017)
By: Stephen DeSalvo  
Open Access
|Jul 2017

Authors

Stephen DeSalvo

stephendesalvo@math.ucla.edu

Department of Mathematics University of California, Los Angeles, Los Angeles, USA
DOI: https://doi.org/10.1515/puma-2015-0020 | Journal eISSN: 1788-800X
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Language: English
Page range: 22 - 45
Submitted on: Sep 30, 2016
Published on: Jul 14, 2017
Published by: Corvinus University of Budapest
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
exact sampling,
perfect simulation,
probabilistic divide-and-conquer,
Boltzmann sampler,
random combinatorial structure,
rejection sampling,
recursive method
Related subjects:
Computer sciences,
Theoretical computer sciences,
Business and economics,
Mathematics and statistics for economists,
Mathematics,
Mathematics,
Analysis,
Differential equations and dynamical systems

© 2017 Stephen DeSalvo, published by Corvinus University of Budapest
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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