An Importance Sampling Scheme on Dual Factor Graphs. I. Models in a Strong External Field
Computation
2015-02-06 v5 Statistical Mechanics
Information Theory
math.IT
Abstract
We propose an importance sampling scheme to estimate the partition function of the two-dimensional ferromagnetic Ising model and the two-dimensional ferromagnetic -state Potts model, both in the presence of an external magnetic field. The proposed scheme operates in the dual Forney factor graph and is capable of efficiently computing an estimate of the partition function under a wide range of model parameters. In particular, we consider models that are in a strong external magnetic field.
Cite
@article{arxiv.1401.4912,
title = {An Importance Sampling Scheme on Dual Factor Graphs. I. Models in a Strong External Field},
author = {Mehdi Molkaraie},
journal= {arXiv preprint arXiv:1401.4912},
year = {2015}
}
Comments
9 pages