Automatic Reduction-Order Selection for Finite-Element Macromodels

被引：3
|
作者：
Fotyga, Grzegorz [1 ]
Nyka, Krzysztof [1 ]
Mrozowski, Michal [1 ]
机构：
[1] Gdansk Univ Technol, Dept Elect Telecommun & Informat, PL-80233 Gdansk, Poland
来源：
IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS | 2018年 / 28卷 / 04期
关键词：
A posteriori error estimator; finite-element; method (FEM); macromodels; model-order reduction; MODEL;
D O I：
10.1109/LMWC.2018.2811255
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
An automatic reduction-order selection algorithm for macromodels in finite-element analysis is presented. The algorithm is based on a goal-oriented a posteriori error estimator that operates on low-order reduced blocks of matrices, and hence, it can be evaluated extremely quickly.
引用
收藏
页码：278 / 280
页数：3
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