On stochastic error and computational efficiency of the Markov Chain Monte Carlo method

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On stochastic error and computational efficiency of the Markov Chain Monte Carlo method

In Markov Chain Monte Carlo (MCMC) simulations, thermal equilibria quantities are estimated by ensemble average over a sample set containing a large number of correlated samples. These samples are selected in accordance with the probability distribution function, known from the partition function of...

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Bibliographic Details
Main Authors:	Li, J., Vignal, P., Sun, S., Calo, Victor
Format:	Journal Article
Published:	2014
Online Access:	http://hdl.handle.net/20.500.11937/51324

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