Abstract
In this paper a novel numerical approximation of parametric eigenvalue problems is presented. We motivate our study with the analysis of a POD reduced order model for a simple one dimensional example. In particular, we introduce a new algorithm capable to track the matching of eigenvalues when the parameters vary.
Original language | English (US) |
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DOIs | |
State | Published - 2022 |
Event | 8th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS Congress 2022 - Oslo, Norway Duration: Jun 5 2022 → Jun 9 2022 |
Conference
Conference | 8th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS Congress 2022 |
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Country/Territory | Norway |
City | Oslo |
Period | 06/5/22 → 06/9/22 |
Bibliographical note
Funding Information:The work of F. Bertrand, D. Boffi, and A. Halim was supported by the Competitive Research Grants Program CRG2020 “Synthetic data-driven model reduction methods for modal analysis” awarded by the King Abdullah University of Science and Technology (KAUST). D. Boffi is member of the INdAM Research group GNCS and his research is partially supported by IMATI/CNR and by PRIN/MIUR. F. Bonizzoni is member of the INdAM Research group GNCS and her work is part of a project that has received funding from the European Research Council ERC under the European Union’s Horizon 2020 research and innovation program (Grant agreement No. 865751).
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Keywords
- Eigenvalue matching
- Model reduction
- Parametric eigenvalue problems
ASJC Scopus subject areas
- Mechanical Engineering