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  Adaptive Choice of Near-Optimal Expansion Points for Interpolation-Based Structure-Preserving Model Reduction

Aumann, Q., & Werner, S. W. R. (2024). Adaptive Choice of Near-Optimal Expansion Points for Interpolation-Based Structure-Preserving Model Reduction. Advances in Computational Mathematics, 50(4): 79. doi:10.1007/s10444-024-10166-z.

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© The Author(s) 2024. 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.

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 Creators:
Aumann, Quirin1, Author           
Werner, Steffen W. R.2, Author
Affiliations:
1Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738141              
2Courant Institute of Mathematical Sciences, ou_persistent22              

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 Dates: 2023-05-182024
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: arXiv: 2305.10806
DOI: 10.1007/s10444-024-10166-z
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Title: Advances in Computational Mathematics
Source Genre: Journal
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Publ. Info: Basel : Springer
Pages: - Volume / Issue: 50 (4) Sequence Number: 79 Start / End Page: - Identifier: ISSN: 1019-7168
CoNE: https://pure.mpg.de/cone/journals/resource/954928608160