The Swendsen–Wang algorithm is a Monte Carlo method used for simulating systems with many interacting components, particularly in the context of statistical mechanics and lattice models like the Ising model. It is especially useful for studying phase transitions and critical phenomena in two-dimensional and higher-dimensional systems. The algorithm was introduced by Robert H. Swendsen and Jorge S. Wang in 1987 as an alternative to the traditional Metropolis algorithm.
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