Monte Carlo with Absorbing Markov Chains: A Faster Monte-Carlo Algorithm for Dynamical Studies

  • M. A. Novotny
Part of the Springer Proceedings in Physics book series (SPPHY, volume 78)


A new Monte Carlo algorithm is introduced which combines Monte Carlo with absorbing Markov chains (MCAMC). With a few additional assumptions, the simplest form of the MCAMC algorithm corresponds to the n-fold way algorithm. The MCAMC algorithm is applied to the study of the escape from the metastable state of the square-lattice Ising ferromagnet. Results agree with both continuum and discrete droplet theory.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1994

Authors and Affiliations

  • M. A. Novotny
    • 1
  1. 1.Supercomputer Computations Research InstituteFlorida State UniversityTallahasseeUSA

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