Abstract
A Monte Carlo algorithm is presented that updates large clusters of spins simultaneously in systems at and near criticality. We demonstrate its efficiency in the two-dimensional models for (Ising) and () at their critical temperatures, and for (Heisenberg) with correlation lengths around 10 and 20. On lattices up to no sign of critical slowing down is visible with autocorrelation times of 1-2 steps per spin for estimators of long-range quantities.
- Received 13 October 1988
DOI:https://doi.org/10.1103/PhysRevLett.62.361
©1989 American Physical Society