English

Dynamic critical behavior of the worm algorithm for the Ising model

Statistical Mechanics 2008-11-26 v2

Abstract

We study the dynamic critical behavior of the worm algorithm for the two- and three-dimensional Ising models, by Monte Carlo simulation. The autocorrelation functions exhibit an unusual three-time-scale behavior. As a practical matter, the worm algorithm is slightly more efficient than Swendsen-Wang for simulating the two-point function of the three-dimensional Ising model.

Keywords

Cite

@article{arxiv.cond-mat/0703787,
  title  = {Dynamic critical behavior of the worm algorithm for the Ising model},
  author = {Youjin Deng and Timothy M. Garoni and Alan D. Sokal},
  journal= {arXiv preprint arXiv:cond-mat/0703787},
  year   = {2008}
}

Comments

Revtex4, 4 pages, includes 6 figures