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集团变分法:从统计力学到消息传递算法

Cluster Variation Method: from statistical mechanics to message passing algorithms
课程网址: http://videolectures.net/oiml05_pelizzola_smmpa/  
主讲教师: Alessandro Pelizzola
开课单位: 都灵理工大学
开课时间: 2007-02-25
课程语种: 英语
中文简介:
簇变分法(cvm)是平衡统计力学中离散(ising)模型的近似变分技术的一个层次,改进了平均场近似和贝斯-皮尔斯近似,可以认为是cvm的最低层次。简要回顾了CVM的基础,考虑到该方法的不同推导和相关技术,如分接头方程和空腔法。还讨论了可实现性和精确性问题。
课程简介: The cluster variation method (CVM) is a hierarchy of approximate variational techniques for discrete (Ising--like) models in equilibrium statistical mechanics, improving on the mean--field approximation and the Bethe--Peierls approximation, which can be regarded as the lowest level of the CVM. The foundations of the CVM are briefly reviewed, considering different derivations of the method and related techniques, like for instance TAP equations and the cavity method. Issues of realizability and exactness are also addressed.
关 键 词: 集团变分法; 统计力学; 离散的层次结构; 推导方法
课程来源: 视频讲座网
最后编审: 2020-06-02:张荧(课程编辑志愿者)
阅读次数: 47