Tuning the generalized Hybrid Monte Carlo algorithm
High Energy Physics - Lattice
2009-10-28 v1
Abstract
We discuss the analytic computation of autocorrelation functions for the generalized Hybrid Monte Carlo algorithm applied to free field theory and compare the results with numerical results for the spin model in two dimensions. We explain how the dynamical critical exponent for some operators may be reduced from two to one by tuning the amount of randomness introduced by the updating procedure, and why critical slowing down is not a problem for other operators.
Cite
@article{arxiv.hep-lat/9509043,
title = {Tuning the generalized Hybrid Monte Carlo algorithm},
author = {A D Kennedy and Robert Edwards and Hidetoshi Mino and Brian Pendleton},
journal= {arXiv preprint arXiv:hep-lat/9509043},
year = {2009}
}
Comments
4 pages, to be published in the Proceedings of Lattice 95, uuencoded PostScript file