Asymptotic meshes from $r$-variational adaptation methods for static problems in one dimension

Fuente: arXiv
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Main Authors: Hun, Darith, Moës, Nicolas, Olbermann, Heiner
Format: Preprint
Published: 2025
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author Hun, Darith
Moës, Nicolas
Olbermann, Heiner
author_facet Hun, Darith
Moës, Nicolas
Olbermann, Heiner
contents We consider the minimization of integral functionals in one dimension and their approximation by $r$-adaptive finite elements. Including the grid of the FEM approximation as a variable in the minimization, we are able to show that the optimal grid configurations have a well-defined limit when the number of nodes in the grid is being sent to infinity. This is done by showing that the suitably renormalized energy functionals possess a limit in the sense of $Γ$-convergence. We provide numerical examples showing the closeness of the optimal asymptotic mesh obtained as a minimizer of the $Γ$-limit to the optimal finite meshes.
format Preprint
id arxiv_https___arxiv_org_abs_2510_26375
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Asymptotic meshes from $r$-variational adaptation methods for static problems in one dimension
Hun, Darith
Moës, Nicolas
Olbermann, Heiner
Numerical Analysis
Analysis of PDEs
49J45, 49Q10, 65N30, 65N50, 74S05
We consider the minimization of integral functionals in one dimension and their approximation by $r$-adaptive finite elements. Including the grid of the FEM approximation as a variable in the minimization, we are able to show that the optimal grid configurations have a well-defined limit when the number of nodes in the grid is being sent to infinity. This is done by showing that the suitably renormalized energy functionals possess a limit in the sense of $Γ$-convergence. We provide numerical examples showing the closeness of the optimal asymptotic mesh obtained as a minimizer of the $Γ$-limit to the optimal finite meshes.
title Asymptotic meshes from $r$-variational adaptation methods for static problems in one dimension
topic Numerical Analysis
Analysis of PDEs
49J45, 49Q10, 65N30, 65N50, 74S05
url https://arxiv.org/abs/2510.26375