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  Data-Driven and Low-Rank Implementations of Balanced Singular Perturbation Approximation

Liljegren-Sailer, B., & Gosea, I. V. (2024). Data-Driven and Low-Rank Implementations of Balanced Singular Perturbation Approximation. SIAM Journal on Scientific Computing, 46(1), A483-A507. doi:10.1137/23M155791X.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000C-D2EB-E Version Permalink: https://hdl.handle.net/21.11116/0000-000E-8181-D
Genre: Journal Article

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 Creators:
Liljegren-Sailer, Björn1, Author
Gosea, Ion Victor2, Author           
Affiliations:
1Trier University, ou_persistent22              
2Computational 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: 2023-03-092024
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: arXiv: 2303.05361
DOI: 10.1137/23M155791X
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Title: SIAM Journal on Scientific Computing
Source Genre: Journal
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Publ. Info: Philadelphia, PA : SIAM
Pages: - Volume / Issue: 46 (1) Sequence Number: - Start / End Page: A483 - A507 Identifier: ISSN: 1064-8275
CoNE: https://pure.mpg.de/cone/journals/resource/954928546248