On the Use of Optimized Monte Carlo Methods for Studying Spin Glasses
Statistical Mechanics
2009-10-31 v1 Disordered Systems and Neural Networks
Abstract
We start from recently published numerical data by Hatano and Gubernatis cond-mat/0008115 to discuss properties of convergence to equilibrium of optimized Monte Carlo methods (bivariate multi canonical and parallel tempering). We show that these data are not thermalized, and they lead to an erroneous physical picture. We shed some light on why the bivariate multi canonical Monte Carlo method can fail.
Keywords
Cite
@article{arxiv.cond-mat/0011039,
title = {On the Use of Optimized Monte Carlo Methods for Studying Spin Glasses},
author = {E. Marinari and G. Parisi and F. Ricci-Tersenghi and F. Zuliani},
journal= {arXiv preprint arXiv:cond-mat/0011039},
year = {2009}
}
Comments
6 pages, 5 eps figures included