Dr Stefano Giani stefano.giani@durham.ac.uk
Associate Professor
In this paper, we present an adaptive spectral projection based finite element method to numerically approximate the solution of the wave equation with memory. The adaptivity is not restricted to the mesh (hp-adaptivity), but it is also applied to the size of the computed spectrum (k-adaptivity). The meshes are refined using a residual based error estimator, while the size of the computed spectrum is adapted using the L2 norm of the error of the projected data. We show that the approach can be very efficient and accurate.
Giani, S., Engström, C., & Grubišić, L. (2023). khp-adaptive spectral projection based discontinuous Galerkin method for the numerical solution of wave equations with memory. Journal of Computational and Applied Mathematics, 429, Article 115212. https://doi.org/10.1016/j.cam.2023.115212
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 7, 2023 |
Online Publication Date | Mar 31, 2023 |
Publication Date | 2023-09 |
Deposit Date | Mar 9, 2023 |
Publicly Available Date | May 30, 2023 |
Journal | Journal of Computational and Applied Mathematics |
Print ISSN | 0377-0427 |
Electronic ISSN | 1879-1778 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 429 |
Article Number | 115212 |
DOI | https://doi.org/10.1016/j.cam.2023.115212 |
Public URL | https://durham-repository.worktribe.com/output/1178697 |
Published Journal Article
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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Copyright Statement
© 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/
licenses/by/4.0/)
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