强耦合Ising模型的重要采样算法

arXiv: Computation Pub Date : 2014-04-22 DOI:10.3929/ETHZ-A-010645962

Mehdi Molkaraie

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引用次数: 6

摘要

研究了在一致外磁场下铁磁Ising模型配分函数的估计问题。估计是通过在代表模型的福尼因子图的对偶中进行重要抽样来完成的。重点放在低温下的模型(对应于强耦合模型)和强弱耦合参数混合的模型上。

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An Importance Sampling Algorithm for the Ising Model with Strong Couplings

We consider the problem of estimating the partition function of the ferromagnetic Ising model in a consistent external magnetic field. The estimation is done via importance sampling in the dual of the Forney factor graph representing the model. Emphasis is on models at low temperature (corresponding to models with strong couplings) and on models with a mixture of strong and weak coupling parameters.

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来源期刊

arXiv: Computation

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