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Main Authors: Boffi, Daniele, Halim, Abdul, Priyadarshi, Gopal
Format: Preprint
Published: 2023
Subjects:
Online Access:https://arxiv.org/abs/2302.00898
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author Boffi, Daniele
Halim, Abdul
Priyadarshi, Gopal
author_facet Boffi, Daniele
Halim, Abdul
Priyadarshi, Gopal
contents In this paper we discuss reduced order models for the approximation of parametric eigenvalue problems. In particular, we are interested in the presence of intersections or clusters of eigenvalues. The singularities originating by these phenomena make it hard a straightforward generalization of well known strategies normally used for standards PDEs. We investigate how the known results extend (or not) to higher order frequencies.
format Preprint
id arxiv_https___arxiv_org_abs_2302_00898
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Reduced basis approximation of parametric eigenvalue problems in presence of clusters and intersections
Boffi, Daniele
Halim, Abdul
Priyadarshi, Gopal
Numerical Analysis
In this paper we discuss reduced order models for the approximation of parametric eigenvalue problems. In particular, we are interested in the presence of intersections or clusters of eigenvalues. The singularities originating by these phenomena make it hard a straightforward generalization of well known strategies normally used for standards PDEs. We investigate how the known results extend (or not) to higher order frequencies.
title Reduced basis approximation of parametric eigenvalue problems in presence of clusters and intersections
topic Numerical Analysis
url https://arxiv.org/abs/2302.00898