A: Critical Slowing Down -- systems change slowly near critical points as "domains form"
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C: Large length scales are not well represented by computations such as Metropolis which only change one site at a time.
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T: Acceleration Methods
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T: Over-Relaxation
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T: Multigrid or more generally hierarchical scale methods (A: Renormalization group)
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T: Fourier Transform
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T: Cluster Methods -- potentially most powerful
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A: Potts Model -- Spin systems with more than two components
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A: Percolation -- Physical system with properties related to some cluster determination methods
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T: Cluster Methods in Detail
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A/T: Swendsen-Wang Cluster Algorithm
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Note need physics insight to be able to define computationally useful clusters
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Cluster identification is not (just) a computer science problem
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A/T: Wolff Cluster Algorithm
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T: Connected Component Labelling -- needed in all cluster methods and a "pure" computer science problem
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