An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)
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Updated
May 20, 2022 - Jupyter Notebook
An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)
Wang-Landau Algorithm, with histogram saturation, 1/t algorithm, MPI-parallelism and adaptive energy sub-windows.
Updated repository of csta, a rust package used to do simulations using montecarlo, metropolis and wang-landau
In the Ising model, we find a playground for various concepts - Monte Carlo, statistics, critical phenomenon, machine learning, and more.
A Framework for Metropolis Monte Carlo Simulation of Molecular Systems http://mlund.github.io/faunus
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