Interactive Simulations Using Localized Reduced Basis Methods

被引:1
|
作者
Buhr, Andreas [1 ]
Ohlberger, Mario [1 ]
机构
[1] Univ Munster, Inst Computat & Appl Math, Einsteinstr 62, D-48149 Munster, Germany
来源
IFAC PAPERSONLINE | 2015年 / 48卷 / 01期
关键词
Reduced-order models; Parametrization; Maxwell equations; Localization; Error estimation; Domain Decomposition;
D O I
10.1016/j.ifacol.2015.05.134
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
An interactive simulation tool should allow its user to change the geometry of the simulation and present an updated solution within a very short time span. To achieve this, the Reduced Basis Method can be used. For problems described by parametrized partial differential equations, it allows for very fast recomputation of the solution after parameter changes. In many cases, changes in the geometry can be accounted for by parametrization. However, this approach has two drawbacks: First, not all geometric variations can be described efficiently by parametrization. Second, the parametrization and thereby the type of changes possible has to be specified before the setup phase. The user is then restricted to these. To overcome these limitations, we propose to localize the basis generation in the Reduced Basis Method. Using basis functions having support only on a small subset of the domain, one can react to arbitrary local geometry modifications by recreating only the basis functions in an environment of the modification. (C) 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier All rights reserved.
引用
收藏
页码:729 / +
页数:2
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