title: Dynamic critical behavior of the worm algorithm for the Ising model.
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 the Swendsen-Wang algorithm for simulating the two-point function of the three-dimensional Ising model.
authors.affiliation: Department of Physics, New York University, 4 Washington Place, New York, New York 10003, USA.
authors.forename: Youjin
authors.initials: Y
authors.lastname: Deng
authors.forename: Timothy M
authors.initials: TM
authors.lastname: Garoni
authors.forename: Alan D
authors.initials: AD
authors.lastname: Sokal