Structure-preserving model reduction

被引：0
|
作者：
Li, Ren-Cang [1 ]
Bai, Zhaojun
机构：
[1] Univ Kentucky, Dept Math, Lexington, KY 40506 USA
[2] Univ Calif Davis, Dept Comp Sci, Davis, CA 95616 USA
[3] Univ Calif Davis, Dept Math, Davis, CA 95616 USA
来源：
APPLIED PARALLEL COMPUTING: STATE OF THE ART IN SCIENTIFIC COMPUTING | 2006年 / 3732卷
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
A general framework for structure-preserving model reduction by Krylov subspace projection methods is developed. The goal is to preserve any substructures of importance in the matrices L, G, C, B that define the model prescribed by transfer function H(s) = L* (C + sC)B-1. Many existing structure-preserving model-order reduction methods for linear and second-order dynamical systems can be derived under this general framework.
引用
收藏
页码：323 / 332
页数：10
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