The Wolff algorithm is a Monte Carlo method used to simulate systems in statistical mechanics, particularly for studying phase transitions in lattice models such as the Ising model. It is an alternative to the Metropolis algorithm and is particularly useful for handling systems with long-range correlations, as it can efficiently update clusters of spins instead of individual spins.
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