Uncertainty quantification for chaotic computational fluid dynamics

被引：26

作者：

Yu, Y. ^{[1
]}

Zhao, M.

Lee, T.

Pestieau, N.

Bo, W.

Glimm, J.

Grove, J. W.

机构：

[1] SUNY Stony Brook, Dept Appl Math & Stat, Stony Brook, NY 11794 USA

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

[3] Brookhaven Natl Lab, Computat Sci Ctr, Upton, NY 11973 USA

来源：

JOURNAL OF COMPUTATIONAL PHYSICS | 2006年 / 217卷 / 01期

关键词：

uncertainty quantification; chaotic flow;

D O I：

10.1016/j.jcp.2006.03.030

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

We seek error models for simulations that model chaotic flow. Stable statistics for the solution and for the error are obtained after suitable averaging procedures. (c) 2006 Elsevier Inc. All rights reserved.

引用

页码：200 / 216

页数：17

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