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Peer-reviewedLicence not statedJournal of Computational Physics

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: An appraisal of sampling strategies beyond the diffusive regime

  • Werner Krauth1,2,3
  1. 1Laboratoire de Physique de l’École normale supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université Paris Cité, Paris, France
  2. 2Rudolf Peierls Centre for Theoretical Physics, Clarendon Laboratory, Oxford OX1 3PU, UK
  3. 3Simons Center for Computational Physical Chemistry, New York University,New York (NY), USA
Open at sourceDOICite

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Cite

BibTeXRIS
BibTeX
@article{krauth2026hamiltonian,
  title = {{Hamiltonian Monte Carlo vs. event-chain Monte Carlo: An appraisal of sampling strategies beyond the diffusive regime}},
  author = {Werner Krauth},
  journal = {Journal of Computational Physics},
  year = {2026},
  month = oct,
  doi = {10.1016/j.jcp.2026.115478},
  url = {https://doi.org/10.2139/ssrn.5358688},
}
RIS
TY  - JOUR
TI  - Hamiltonian Monte Carlo vs. event-chain Monte Carlo: An appraisal of sampling strategies beyond the diffusive regime
AU  - Werner Krauth
PY  - 2026
DA  - 2026/10/08
JO  - Journal of Computational Physics
DO  - 10.1016/j.jcp.2026.115478
UR  - https://doi.org/10.2139/ssrn.5358688
SN  - 0021-9991
SN  - 1090-2716
ER  -