On Performance Measures for Infinite Swapping Monte Carlo Methods
Statistical Mechanics
2015-06-23 v1 Soft Condensed Matter
Abstract
We introduce and illustrate a number of performance measures for rare-event sampling methods. These measures are designed to be of use in a variety of expanded ensemble techniques including parallel tempering as well as infinite and partial infinite swapping approaches. Using a variety of selected applications we address questions concerning the variation of sampling performance with respect to key computational ensemble parameters.
Cite
@article{arxiv.1410.3780,
title = {On Performance Measures for Infinite Swapping Monte Carlo Methods},
author = {J. D. Doll and Paul Dupuis},
journal= {arXiv preprint arXiv:1410.3780},
year = {2015}
}
Comments
52 pages, 19 figures