Stochastic methods for the prediction of complex multiscale phenomena

被引：14
|
作者：
Glimm, J [1 ]
Sharp, D
机构：
[1] SUNY Stony Brook, Stony Brook, NY 11794 USA
[2] Univ Calif Los Alamos Natl Lab, Los Alamos, NM USA
来源：
QUARTERLY OF APPLIED MATHEMATICS | 1998年 / 56卷 / 04期
关键词：
D O I：
10.1090/qam/1668736
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
The purpose of this paper is to develop a general framework for the prediction of complex multiscale phenomena and to illustrate this framework through comparison to two examples of current interest to the authors. Prediction involves a two-step process of inverse prediction to describe the system, given observations of its behavior, and forward prediction, to specify system behavior, given its description.
引用
收藏
页码：741 / 765
页数：25
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