Noise in algorithm refinement methods

被引：12

作者：

Alexander, FJ ^{[1
]}

Tartakovsky, DM

Garcia, AL

机构：

[1] Los Alamos Natl Lab, Los Alamos, NM 87545 USA

[2] San Jose State Univ, San Jose, CA 95192 USA

来源：

COMPUTING IN SCIENCE & ENGINEERING | 2005年 / 7卷 / 03期

关键词：

D O I：

10.1109/MCSE.2005.56

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Hybrid or algorithm refinement (AR) schemes have focused mainly on the mean behavior of system states. However, variances in these behaviors, such as spontaneous fluctuations, are important for modeling certain phenomena. This article discusses the effects of statistical fluctuations on hybrid computational methods that combine a particle algorithm with a partial differential equation solver.

引用

收藏

页码：32 / 38

页数：7

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