Event-chain Monte Carlo and the true self-avoiding walk
Computational Physics
2024-10-14 v1
Abstract
We study the large-scale dynamics of event chain Monte Carlo algorithms in one dimension, and their relation to the true self-avoiding walk. In particular, we study the influence of stress, and different forms of interaction on the equilibration and sampling properties of algorithms with global balance, but no local balance.
Cite
@article{arxiv.2410.08694,
title = {Event-chain Monte Carlo and the true self-avoiding walk},
author = {A. C. Maggs},
journal= {arXiv preprint arXiv:2410.08694},
year = {2024}
}
Comments
14 pages, 10 figures