Abstract
This chapter describes and compares two strategies for parallelising nested sampling.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
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)
S. Martiniani, J.D. Stevenson, D.J. Wales, D. Frenkel, Superposition enhanced nested sampling. Phys. Rev. X 4, 031034 (2014)
S. Martiniani, Masters thesis (unpublished), Cavendish Laboratory, University of Cambridge, 2013
Wolfram Research, Inc., Mathematica, version 10.0 (Champaign, IL, 2014)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this chapter
Cite this chapter
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-66769-0_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-66768-3
Online ISBN: 978-3-319-66769-0
eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)