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Domain decomposition for 3D nonlinear magnetostatic problems: Newton-Krylov-Schur vs. Schur-Newton-Krylov methods
Mohamed Ghenai, Ronan Perrussel, Olivier Chadebec, Frédéric Vi, Jean-Michel Guichon, Gérard Meunier, Jonathan Siau

Domain decomposition for 3D nonlinear magnetostatic problems: Newton-Krylov-Schur vs. Schur-Newton-Krylov methods

Science & Mathematics Published 2023 Verification Pending

Overview & Synopsis

Domain decomposition is a strategy designed to be used on parallel machines. This strategy leads to hybrid methods between direct and iterative solvers and allows users to benefit from the advantages of both. Lately, the growing size of simulations in electromagnetics brought to light the interest of using domain decomposition. Nonlinearity is also one of the problems specificities where the need for an efficient solver is high. This paper provides a comparison between two techniques of domain decomposition for solving 3D nonlinear magnetostatic problems. A test case illustrates the results that can be expected.

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Document Information

Document Title Domain decomposition for 3D nonlinear magnetostatic problems: Newton-Krylov-Schur vs. Schur-Newton-Krylov methods
Author / Organization Mohamed Ghenai, Ronan Perrussel, Olivier Chadebec, Frédéric Vi, Jean-Michel Guichon, Gérard Meunier, Jonathan Siau
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2023
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-215319
Original Source Link Visit Source Page on hal.science »