An Adaptive Method for Interpolating Reduced-Order Models Based on Matching and Continuation of Poles-Reference-Cited by-同舟云学术

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An Adaptive Method for Interpolating Reduced-Order Models Based on Matching and Continuation of Poles

Published:2019-05 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)
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Author:

Yue Yao,Feng Lihong,Benner Peter

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8847268/8853643/09247028.pdf?arnumber=9247028

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fast Frequency-Domain Analysis for Parametric Electromagnetic Models Using Deep Learning;2023 IEEE 32nd Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS);2023-10-15

2. Recent Advances in Parametric Modeling Using MOR-based Neuro-TF With Different Formats for Microwave Components;2022 IEEE 10th Asia-Pacific Conference on Antennas and Propagation (APCAP);2022-11-04

3. A Novel Surrogate-Based Approach to Yield Estimation and Optimization of Microwave Structures Using Combined Quadratic Mappings and Matrix Transfer Functions;IEEE Transactions on Microwave Theory and Techniques;2022-08

4. Parameterized Modeling Incorporating MOR-Based Rational Transfer Functions With Neural Networks for Microwave Components;IEEE Microwave and Wireless Components Letters;2022-05

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