Abstract
Renormalization-group methods are used to produce a novel Monte Carlo sampling algorithm which alleviates the problem of critical slowing down. The method is applied by means of a Kadanoff block-spin transformation to the one- and two-dimensional Ising models.
- Received 6 September 1983
DOI:https://doi.org/10.1103/PhysRevLett.51.2175
©1983 American Physical Society