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Parallelising Nested Sampling

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Classical Statistical Mechanics with Nested Sampling

Part of the book series: Springer Theses ((Springer Theses))

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Abstract

This chapter describes and compares two strategies for parallelising nested sampling.

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References

  1. N.S. Burko, C. Várnai, S.A. Wells, D.L. Wild, Exploring the energy landscapes of protein folding simulations with Bayesian computation. Biophys. J. 102, 878 (2012)

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  2. S. Martiniani, J.D. Stevenson, D.J. Wales, D. Frenkel, Superposition enhanced nested sampling. Phys. Rev. X 4, 031034 (2014)

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  3. S. Martiniani, Masters thesis (unpublished), Cavendish Laboratory, University of Cambridge, 2013

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  4. Wolfram Research, Inc., Mathematica, version 10.0 (Champaign, IL, 2014)

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Correspondence to Robert John Nicholas Baldock .

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Baldock, R.J.N. (2017). Parallelising Nested Sampling. In: Classical Statistical Mechanics with Nested Sampling. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-319-66769-0_10

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