A brief history of the introduction of generalized ensembles to Markov chain Monte Carlo simulations

  title={A brief history of the introduction of generalized ensembles to Markov chain Monte Carlo simulations},
  author={Bernd A. Berg},
  journal={The European Physical Journal Special Topics},
  • B. Berg
  • Published 13 December 2016
  • Physics
  • The European Physical Journal Special Topics
Abstract The most efficient weights for Markov chain Monte Carlo calculations of physical observables are not necessarily those of the canonical ensemble. Generalized ensembles, which do not exist in nature but can be simulated on computers, lead often to a much faster convergence. In particular, they have been used for simulations of first order phase transitions and for simulations of complex systems in which conflicting constraints lead to a rugged free energy landscape. Starting off with… 

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