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Foil 12 Case Study I) Topics -- Critical Slowing Down and Methods to accelerate Computation

From Master set for Overview of Case Studies of Computational Science CPSP713 Master for Overview -- Autumn Semester 1994. by Geoffrey C. Fox * See also color IMAGE

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



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