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.

On the matching of eigensolutions to parametric partial differential equations

Bonizzoni, F.;
2022-01-01

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.
2022
Proceeding in the 8th ECCOMAS Congress 2022
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1225217
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