Information theory and the optimization of Monte Carlo simulations

被引：6
|
作者：
Eleftheriou, M
Kim, D
Doll, JD
Freeman, DL
机构：
[1] BROWN UNIV,DEPT CHEM,PROVIDENCE,RI 02912
[2] UNIV RHODE ISL,DEPT CHEM,KINGSTON,RI 02881
来源：
CHEMICAL PHYSICS LETTERS | 1997年 / 276卷 / 5-6期
基金：
美国国家科学基金会;
关键词：
D O I：
10.1016/S0009-2614(97)00839-7
中图分类号：
O64 [物理化学（理论化学）、化学物理学];
学科分类号：
070304 ; 081704 ;
摘要：
We develop a convenient, quantitative measure of the sampling efficiency of equilibrium Monte Carlo algorithms. This measure, based on information theoretic methods, is optimized by independent random sampling. We illustrate present developments with selected numerical examples. (C) 1997 Elsevier Science B.V.
引用
收藏
页码：353 / 360
页数：8
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