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conference paper

On the nonlinear Dirichlet-Neumann method and preconditioner for Newton's method

Chaouqui, Faycal
•
Gander, Martin J.
•
Kumbhar, Pratik M.
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2023
Domain Decomposition Methods in Science and Engineering XXVI
26th International Domain Decomposition Conference (DD26)

The Dirichlet-Neumann (DN) method has been extensively studied for linear partial differential equations, while little attention has been devoted to the nonlinear case. In this paper, we analyze the DN method both as a nonlinear iterative method and as a preconditioner for Newton's method. We discuss the nilpotent property and prove that under special conditions, there exists a relaxation parameter such that the DN method converges quadratically. We further prove that the convergence of Newton's method preconditioned by the DN method is independent of the relaxation parameter. Our numerical experiments further illustrate the mesh independent convergence of the DN method and compare it with other standard nonlinear preconditioners.

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Type
conference paper
DOI
10.1007/978-3-030-95025-5_40
ArXiv ID

2103.12203

Author(s)
Chaouqui, Faycal
Gander, Martin J.
Kumbhar, Pratik M.
Vanzan, Tommaso  
Date Issued

2023

Publisher

Springer-Verlag

Published in
Domain Decomposition Methods in Science and Engineering XXVI
Start page

381

End page

389

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
CSQI  
Event nameEvent placeEvent date
26th International Domain Decomposition Conference (DD26)

[Online edition] Honk Kong, China

December 7 - 12, 2020

Available on Infoscience
August 25, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/180801
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