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  Structured Barycentric Forms for Interpolation-Based Data-Driven Reduced Modeling of Second-Order Systems

Gosea, I. V., Gugercin, S., & Werner, S. W. R. (2024). Structured Barycentric Forms for Interpolation-Based Data-Driven Reduced Modeling of Second-Order Systems. Advances in Computational Mathematics, 50: 26. doi:10.1007/s10444-024-10118-7.

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This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence.

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 Creators:
Gosea, Ion Victor1, Author           
Gugercin, Serkan2, Author
Werner, Steffen W. R.3, Author
Affiliations:
1Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738141              
2Virginia Tech, ou_persistent22              
3Courant Institute, ou_persistent22              

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 Dates: 2023-03-222024
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: arXiv: 2303.12576
DOI: 10.1007/s10444-024-10118-7
Other: data_escidoc:3501345
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Title: Advances in Computational Mathematics
Source Genre: Journal
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Pages: - Volume / Issue: 50 Sequence Number: 26 Start / End Page: - Identifier: -