Dynamic critical behavior of the worm algorithm for the Ising model
classification
❄️ cond-mat.stat-mech
keywords
algorithmbehaviorisingwormcriticaldynamicmodelthree-dimensional
read the original 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.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.