Annealed importance sampling for Ising models with mixed boundary conditions
Numerical Analysis
2022-05-19 v1 Numerical Analysis
Statistics Theory
Statistics Theory
Abstract
This note introduces a method for sampling Ising models with mixed boundary conditions. As an application of annealed importance sampling and the Swendsen-Wang algorithm, the method adopts a sequence of intermediate distributions that keeps the temperature fixed but turns on the boundary condition gradually. The numerical results show that the variance of the sample weights is relatively small.
Keywords
Cite
@article{arxiv.2205.08665,
title = {Annealed importance sampling for Ising models with mixed boundary conditions},
author = {Lexing Ying},
journal= {arXiv preprint arXiv:2205.08665},
year = {2022}
}
Comments
arXiv admin note: substantial text overlap with arXiv:2205.07226