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Fluid Simulation with the Geometric Cluster Monte Carlo Algorithm
March/April 2006 (vol. 8 no. 2)
pp. 20-29
Erik Luijten, University of Illinois at Urbana-Champaign
The author discusses the recently developed geometric cluster algorithm for the simulation of fluids. Building on earlier approaches, this Monte Carlo method permits the efficient simulation of cases in which conventional simulation methods fail, such as mixtures of particles of different sizes. This is possible because entire clusters of particles are moved via geometric operations. Starting from the celebrated Metropolis Monte Carlo algorithm, the author describes the development of cluster methods for magnetic systems and their connection with the geometric cluster algorithm.
Index Terms:
Monte Carlo methods, stochastic algorithms, complex fluids, cluster methods
Citation:
Erik Luijten, "Fluid Simulation with the Geometric Cluster Monte Carlo Algorithm," Computing in Science and Engineering, vol. 8, no. 2, pp. 20-29, March-April 2006, doi:10.1109/MCSE.2006.25
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