Hierarchical Coarse Basis by Randomised SVD: the Helmholtz Problem

Fuente: arXiv
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Hauptverfasser: Gander, Martin J., Jiang, Yao-Lin, Zhang, Hui
Format: Preprint
Veröffentlicht: 2025
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author Gander, Martin J.
Jiang, Yao-Lin
Zhang, Hui
author_facet Gander, Martin J.
Jiang, Yao-Lin
Zhang, Hui
contents The oscillatory waves require sufficient degrees of freedom to resolve. That restriction usually applies also to coarse problems for Schwarz methods. The resulting coarse problem is then too large. To address the issue, a new form of Schwarz methods with coarse correction is proposed for the Helmholtz problem. There are two components in the proposed form: randomised SVD of interface iteration, and hierarchical domain decomposition. The resulting coarse problem is hierarchical and can be solved in a decoupled way at each level of hierarchy.
format Preprint
id arxiv_https___arxiv_org_abs_2512_12538
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Hierarchical Coarse Basis by Randomised SVD: the Helmholtz Problem
Gander, Martin J.
Jiang, Yao-Lin
Zhang, Hui
Numerical Analysis
65-06 (Primary) 65N55, 65F08 (Secondary)
The oscillatory waves require sufficient degrees of freedom to resolve. That restriction usually applies also to coarse problems for Schwarz methods. The resulting coarse problem is then too large. To address the issue, a new form of Schwarz methods with coarse correction is proposed for the Helmholtz problem. There are two components in the proposed form: randomised SVD of interface iteration, and hierarchical domain decomposition. The resulting coarse problem is hierarchical and can be solved in a decoupled way at each level of hierarchy.
title Hierarchical Coarse Basis by Randomised SVD: the Helmholtz Problem
topic Numerical Analysis
65-06 (Primary) 65N55, 65F08 (Secondary)
url https://arxiv.org/abs/2512.12538