DOAJ Open Access 2022

Recent advances in domain decomposition methods for large-scale saddle point problems

Nataf, Frédéric Tournier, Pierre-Henri

Abstrak

Scalability of parallel solvers for problems with high heterogeneities relies on adaptive coarse spaces built from generalized eigenvalue problems in the subdomains. The corresponding theory is powerful and flexible but the development of an efficient parallel implementation is challenging. We report here on recent advances in adaptive coarse spaces and on their open source implementations in domain specific languages such as FreeFem, focusing on a new domain decomposition for saddle point formulations with some numerical tests.

Penulis (2)

N

Nataf, Frédéric

T

Tournier, Pierre-Henri

Format Sitasi

Frédéric, N., Pierre-Henri, T. (2022). Recent advances in domain decomposition methods for large-scale saddle point problems. https://doi.org/10.5802/crmeca.130

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Informasi Jurnal
Tahun Terbit
2022
Sumber Database
DOAJ
DOI
10.5802/crmeca.130
Akses
Open Access ✓