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Efficiency of the Wang-Landau Algorithm: A Simple Test Case

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Publication:2927897
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DOI10.1093/amrx/abu003zbMath1317.65010arXiv1310.6550OpenAlexW2095714768MaRDI QIDQ2927897

Tony Lelièvre, Benjamin Jourdain, Gabriel Stoltz, Estelle Kuhn, Gersende Fort

Publication date: 5 November 2014

Published in: Applied Mathematics Research eXpress (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1310.6550


zbMATH Keywords

Markov chain Monte CarloMetropolis-Hastings algorithmnumerical resultWang-Landau algorithmadaptive importance samplingcomputational statistical physics


Mathematics Subject Classification ID

Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).


Related Items (5)

Hypocoercivity in metastable settings and kinetic simulated annealing ⋮ Convergence and efficiency of adaptive importance sampling techniques with partial biasing ⋮ Self-healing umbrella sampling: convergence and efficiency ⋮ Convergence of the Wang-Landau algorithm ⋮ Metropolized Randomized Maximum Likelihood for Improved Sampling from Multimodal Distributions




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