Adaptive Step Size for Hybrid Monte Carlo Algorithm
高能物理 - 格点
2009-10-28 v1
摘要
We implement an adaptive step size method for the Hybrid Monte Carlo a lgorithm. The adaptive step size is given by solving a symmetric error equation. An integr ator with such an adaptive step size is reversible. Although we observe appreciable variations of the step size, the overhead of the method exceeds its benefits. We propose an explanation for this phenomenon.
引用
@article{arxiv.hep-lat/9606020,
title = {Adaptive Step Size for Hybrid Monte Carlo Algorithm},
author = {Philippe de Forcrand and Tetsuya Takaishi},
journal= {arXiv preprint arXiv:hep-lat/9606020},
year = {2009}
}
备注
13 pages, 5 Postscript figures, latex