arXiv · hep-lat/9509043
Tuning the generalized Hybrid Monte Carlo algorithm
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 $O(4)$ spin model in two dimensions. We explain how the dynamical critical exponent $z$ 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.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
A D Kennedy, Robert Edwards, Hidetoshi Mino, Brian Pendleton. 1995-09-14. Tuning the generalized Hybrid Monte Carlo algorithm. https://doi.org/10.1016/0920-5632(96)00173-9
Cite the original work for its findings. Save a collection to share your selection of sources.