A \(1/t\) algorithm with the density of two states for estimating multidimensional integrals

DOI10.1016/J.CPC.2017.06.024zbMath1411.65012OpenAlexW2738333220MaRDI QIDQ1737439

Wanyok Atisattapong, Pasin Marupanthorn

Publication date: 23 April 2019

Published in: Computer Physics Communications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cpc.2017.06.024

zbMATH Keywords

Monte Carlo integrationWang-Landau algorithmGaussian integrals

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Numerical integration (65D30)

Related Items (2)

Wang-Landau sampling for estimation of the reliability of physical networks ⋮ Wang-Landau algorithm: an adapted random walk to boost convergence

Cites Work

• Unnamed Item
• Obviating the bin width effect of the \(1/t\) algorithm for multidimensional numerical integration
• Numerical integration using Wang-Landau sampling
• FiEstAS sampling -- a Monte Carlo algorithm for multidimensional numerical integration
• Sampling using a `bank' of clues
• A new algorithm for adaptive multidimensional integration
• A Guide to Monte Carlo Simulations in Statistical Physics
• A Generalized Wang–Landau Algorithm for Monte Carlo Computation

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