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Monte Carlo Simulations of Critical Phenomena in Physics

  • Number of credits 7.5 credits

About the course

Monte Carlo - the statistical basis. Monte Carlo simulation of a classical gas. The Ising model: mean field theory, energy-entropy arguments, Monte Carlo simulations, universality. Simulation techniques: 2D arrays in C, boundary conditions, queues, fast Fourier transforms. Simple stochastic models: site percolation, random walk, self-organized criticality, and complex networks.



The course can also be included in the subject area of computational science & engineering.

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Course is given by
The Department of Physics
Contactperson for the course is:
Peter Olsson