On Performance Measures for Infinite Swapping Monte Carlo Methods
arXiv:1410.3780 · doi:10.1063/1.4904890
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.
52 pages, 19 figures