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VOLUME 58 (1993) | ISSUE 8 | PAGE 684
Cluster-flipping Monte Carlo algorithm and correlations in "good" random number generators
Monte Carlo simulations of the two-dimensional Ising model at criticality are performed using the cluster-flipping Wolff algorithm. Correlations found recently in a widely used "good" random number generator are observed to depend strongly and systematically on the size of the Monte Carlo system. Rather long-range correlations seem to cause trouble, in growing clusters of specific size in a biased way.