Wang and Landau algorithm

<p>The Wang and Landau algorithm, proposed by  Fugao Wang and <a href="/facts/David_P._Landau/EWlnnWdf">David P. Landau</a>, is a <a href="/facts/Monte_Carlo_method/AkHjY7jc">Monte Carlo method</a> designed to <a href="/facts/Estimator/CbkjcKvN">estimate</a> the <a href="/facts/Density_of_states/bwVTyhTf">density of states</a> of a system. The method performs a non-Markovian <a href="/facts/Random_walk/08v0jmfv">random walk</a> to build the density of states by quickly visiting all the available energy spectrum. The Wang and Landau algorithm is an important method to obtain the density of states required to perform a <a href="/facts/Multicanonical_ensemble/Uy948L23">multicanonical simulation</a>.
</p><p>The Wang–Landau algorithm can be applied to any system which is characterized by a cost (or energy) function. For instance,
it has been applied to the solution of numerical integrals and the folding of proteins.
The Wang–Landau sampling is related to the <a href="/facts/Metadynamics/NkNlBgGt">metadynamics</a> algorithm.
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Wang and Landau algorithm open-in-new

Wang and Landau algorithm