2 citations · 3 across the 2 of their papers we have counts for
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Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime
Werner Krauth
We discuss Hamiltonian Monte Carlo (HMC) and event-chain Monte Carlo (ECMC) for the one-dimensional chain of particles with harmonic interactions and benchmark them against local r…
Markov-chain sampling for long-range systems without evaluating the energy
Gabriele Tartero, Werner Krauth
In past decades, enormous effort has been expended to develop algorithms and even to construct special-purpose computers in order to efficiently evaluate total energies and forces…
Diameters of symmetric and lifted simple exclusion models
Xusheng Zhang, Werner Krauth
We determine diameters of Markov chains describing one-dimensional N -particle models with an exclusion interaction, namely the Ssep (symmetric simple exclusion process) and one of…
Concepts in Monte Carlo sampling
Gabriele Tartero, Werner Krauth
We discuss modern ideas in Monte Carlo algorithms in the simplified setting of the one-dimensional anharmonic oscillator. After reviewing the connection between molecular dynamics…