A Generalized Framework for Higher-Order Localized Orthogonal Decomposition Methods

Fuente: arXiv
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Main Authors: Hauck, Moritz, Lozinski, Alexei, Maier, Roland
Format: Preprint
Published: 2025
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author Hauck, Moritz
Lozinski, Alexei
Maier, Roland
author_facet Hauck, Moritz
Lozinski, Alexei
Maier, Roland
contents We introduce a generalized framework for studying higher-order versions of the multiscale method known as Localized Orthogonal Decomposition. Through a suitable reformulation, we are able to accommodate both conforming and nonconforming constraints in the construction process. In particular, we offer a new perspective on localization strategies. We fully analyze the strategy for linear elliptic problems and discuss extensions to the Helmholtz equation and the Gross--Pitaevskii eigenvalue problem. Numerical examples are presented that particularly provide valuable comparisons between conforming and nonconforming constraints.
format Preprint
id arxiv_https___arxiv_org_abs_2506_19462
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Generalized Framework for Higher-Order Localized Orthogonal Decomposition Methods
Hauck, Moritz
Lozinski, Alexei
Maier, Roland
Numerical Analysis
65N12, 65N15, 65N30
We introduce a generalized framework for studying higher-order versions of the multiscale method known as Localized Orthogonal Decomposition. Through a suitable reformulation, we are able to accommodate both conforming and nonconforming constraints in the construction process. In particular, we offer a new perspective on localization strategies. We fully analyze the strategy for linear elliptic problems and discuss extensions to the Helmholtz equation and the Gross--Pitaevskii eigenvalue problem. Numerical examples are presented that particularly provide valuable comparisons between conforming and nonconforming constraints.
title A Generalized Framework for Higher-Order Localized Orthogonal Decomposition Methods
topic Numerical Analysis
65N12, 65N15, 65N30
url https://arxiv.org/abs/2506.19462