Hybrid Nitsche method for distributed computing

Abstract We extend a distributed finite element method built upon model order reduction to arbitrary polynomial degree using a hybrid Nitsche scheme. The new method considerably simplifies the transformation of the finite element system to the reduced basis for large problems. We prove that the error of the reduced Nitsche solution converges optimally with respect to the approximation order of the finite element spaces and linearly with respect to the dimension reduction parameter. Numerical tests with nontrivial tetrahedral meshes using second-degree polynomial bases support the theoretical results.

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Publication Details

Journal
BIT Numerical Mathematics
Published
2026-02-02
DOI
https://doi.org/10.1007/s10543-026-01107-x
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
0.00

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article

Hybrid Nitsche method for distributed computing

Tom Gustafsson, Antti Hannukainen, Juha Videman, Vili Kohonen
BIT Numerical Mathematics
Advanced Numerical Methods in Computational Mathematics
article

Hybrid Nitsche method for distributed computing

Tom Gustafsson, Antti Hannukainen, Juha Videman, Vili Kohonen
article en

Abstract

Abstract We extend a distributed finite element method built upon model order reduction to arbitrary polynomial degree using a hybrid Nitsche scheme. The new method considerably simplifies the transformation of the finite element system to the reduced basis for large problems. We prove that the error of the reduced Nitsche solution converges optimally with respect to the approximation order of the finite element spaces and linearly with respect to the dimension reduction parameter. Numerical tests with nontrivial tetrahedral meshes using second-degree polynomial bases support the theoretical results.

BIT Numerical MathematicsVol. 66(1)
University of Lisbon (PT), Aalto University (FI)
Aalto-Yliopisto, Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 67%
Advanced Numerical Methods in Computational Mathematics
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