vix.ing · top · new · best · stats

The Local Hybrid Monte Carlo algorithm for free field theory: Reexamining overrelaxation

1997/08/27 by Ivan Horváth, Ivan Horvath, A.D. Kennedy +1 · 14 citations
Mathematics · Physics and Astronomy · #Algorithm #Computer science #Field (mathematics) #Mathematical Approximation and Integration #Mathematical optimization #Mathematics #Monte Carlo method #Physics #Scientific Research and Discoveries #Statistical physics #Statistics #Theoretical and Computational Physics #hep-lat

paper · pdf · doi:10.1016/s0550-3213(98)81018-3

published in Nuclear Physics B 510(1-2), 367-400 (Elsevier BV) · LaTeX, 33 pages, 3 postscript figures

arxiv created 1997/08/27 · openalex publication_date 1998/01/01 · arxiv updated 2015/06/25 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/05

Abstract

We analyze the autocorrelations for the LHMC algorithm in the context of free field theory. In this case this is just Adler's overrelaxation algorithm. We consider the algorithm with even/odd, lexicographic, and random updates, and show that its efficiency depends crucially on this ordering of sites when optimized for a given class of operators. In particular, we show that, contrary to previous expectations, it is possible to eliminate critical slowing down (z[int]=0) for a class of interesting observables, including the magnetic susceptibility: this can be done with lexicographic updates but is not possible with even/odd (z[int]=1) or random (z[int]=2) updates. We are considering the dynamical critical exponent z[int] for integrated autocorrelations rather than for the exponential autocorrelation time; this is reasonable because it is the integrated autocorrelation which determines the cost of a Monte Carlo computation.

Citations