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.

翻译：本说明介绍了一种具有混合边界条件的Ising模型取样方法,作为麻醉剂重要度取样和Swendsen-Wang算法的应用,该方法采用一个中间分布序列,保持温度固定,但逐渐改变边界条件。数字结果显示,样本重量的差异相对较小。