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Accelerated rare event sampling

Author

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  • David Yevick

    (Department of Physics, University of Waterloo, Waterloo, ON Canada N2L 3G7, Canada)

Abstract

A sampling procedure for the transition matrix Monte Carlo method is introduced that generates the density of states function over a wide parameter range with minimal coding effort.

Suggested Citation

  • David Yevick, 2016. "Accelerated rare event sampling," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 27(04), pages 1-13, April.
    • Handle: RePEc:wsi:ijmpcx:v:27:y:2016:i:04:n:s0129183116500418
    DOI: 10.1142/S0129183116500418
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    Citations

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    Cited by:

    1. David Yevick, 2022. "Variational autoencoder analysis of Ising model statistical distributions and phase transitions," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 95(3), pages 1-15, March.

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