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Generalized parallel sampling

Author

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  • Whitfield, T.W.
  • Bu, L.
  • Straub, J.E.

Abstract

We develop a generalized version of the parallel tempering algorithm, based upon the non-extensive thermostatistics of Tsallis and coworkers. The effectiveness of the method is demonstrated on a simple one-dimensional problem and on a Lennard-Jones cluster.

Suggested Citation

  • Whitfield, T.W. & Bu, L. & Straub, J.E., 2002. "Generalized parallel sampling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 305(1), pages 157-171.
  • Handle: RePEc:eee:phsmap:v:305:y:2002:i:1:p:157-171
    DOI: 10.1016/S0378-4371(01)00656-2
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    References listed on IDEAS

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    1. Raymond D. Mountain & D. Thirumalai, 1990. "Ergodic Convergence In Liquids And Glasses," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 1(01), pages 77-89.
    2. Tsallis, Constantino & Mendes, RenioS. & Plastino, A.R., 1998. "The role of constraints within generalized nonextensive statistics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 261(3), pages 534-554.
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    Cited by:

    1. David Geisel & Peter Lenz, 2022. "Machine learning classification of trajectories from molecular dynamics simulations of chromosome segregation," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-33, January.

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