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

Yue, Y., Feng, L., & Benner, P. (2019). An Adaptive Method for Interpolating Reduced-Order Models Based on Matching and Continuation of Poles. In 2019 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO) (pp. 1-4). IEEE.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0007-6C2F-D Version Permalink: http://hdl.handle.net/21.11116/0000-0007-6F12-9
Genre: Conference Paper

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 Creators:
Yue, Yao1, Author              
Feng, Lihong1, Author              
Benner, Peter1, Author              
Affiliations:
1Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738141              

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 Dates: 2019
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1109/NEMO43056.2019.9247028
 Degree: -

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Title: 2019 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)
Place of Event: Boston, USA
Start-/End Date: 2019-05-29 - 2019-05-31

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Title: 2019 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: IEEE
Pages: 4 pages Volume / Issue: - Sequence Number: - Start / End Page: 1 - 4 Identifier: -