ANNEALED IMPORTANCE SAMPLING FOR ISING MODELS WITH MIXED BOUNDARY CONDITIONS  

作　　者：Lexing Ying 

机构地区：[1]Department of Mathematics,Stanford University,Stanford,CA 94305,USA

出　　处：《Journal of Computational Mathematics》2023年第3期542-550,共9页计算数学（英文）

基　　金：NSF Grant No.DMS 2011699.

摘　　要：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.

关 键 词：Ising model Annealed importance sampling Swendsen-Wang algorithm 

分 类 号：O24[理学—计算数学]