Case Study: Parametrized Reduction Using Reduced-Basis and the Loewner Framework
Case Study: Parametrized Reduction Using Reduced-Basis and the Loewner Framework
复制标题
案例研究:使用简化基础和 Loewner 框架进行参数化简化
DOI:
10.1007/978-3-319-02090-7_2
复制
发表时间:
2013
期刊:
影响因子:
--
通讯作者:
A. C. Antoulas
中科院分区:
文献类型:
--
作者:
A. C. Ionita;A. C. Antoulas
In this case study, we compare two methods for model reduction of parametrized systems, namely, Reduced-Basis and Loewner rational interpolation.While having the same goal of constructing reduced-order models for large-scale parameter-dependent systems, the two methods follow fundamentally different approaches. On the one hand, the well known Reduced-Basis method takes a time domain approach, using offline snapshots of the full-order system combined with a rigorous error bound. On the other hand, the recently introduced Loewner matrix framework takes a frequency-domain approach that constructs rational interpolants of transfer function measurements, and has the flexibility of allowing different reduced-orders for each of the frequency and parameter variables.We apply the two methods to a parametrized partial differential equation modeling the transient temperature evolution near the surface of a cylinder immersed in fluid. Then, we compare the resulting reduced-order models with the full-order finite element system by running both time- and frequency-domain simulations.
影响因子:
1.1
作者:
Antoulas, A. C.;Ionita, A. C.;Lefteriu, S.
通讯作者:
Lefteriu, S.
DOI:
--
发表时间:
1991
期刊:
影响因子:
--
作者:
G. Gu;J. Aravena;K. Zhou
通讯作者:
K. Zhou