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