A posteriori error analysis of multiscale operator decomposition methods for multiphysics models

被引：9
|
作者：
Estep, D. [1 ,2 ]
Carey, V. [1 ]
Ginting, V. [3 ]
Tavener, S. [1 ]
Wildey, T. [4 ]
机构：
[1] Colorado State Univ, Dept Math, Ft Collins, CO 80523 USA
[2] Colorado State Univ, Dept Stat, Ft Collins, CO 80523 USA
[3] Univ Wyoming, Dept Math, Laramie, WY 82071 USA
[4] Univ Texas Austin, Inst Computat Engn & Sci, Austin, TX 78712 USA
来源：
SCIDAC 2008: SCIENTIFIC DISCOVERY THROUGH ADVANCED COMPUTING | 2008年 / 125卷
关键词：
D O I：
10.1088/1742-6596/125/1/012075
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Multiphysics, multiscale models present significant challenges in computing accurate solutions and for estimating the error in information computed from numerical solutions. In this paper, we describe recent advances in extending the techniques of a posteriori error analysis to multiscale operator decomposition solution methods. While the particulars of the analysis vary considerably with the problem, several key ideas underlie a general approach being developed to treat operator decomposition multiscale methods. We explain these ideas in the context of three specific examples.
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页数：16
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