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@INPROCEEDINGS{Babamehdi:1019407,
author = {Babamehdi, Mehdi},
title = {{U}sing nonlinear domain decomposition as smoother in
nonlinear multigrid},
reportid = {FZJ-2023-05367},
year = {2023},
abstract = {Nonlinear partial differential equations frequently arise
in different fields ofscience. Discretization of the
nonlinear problems usually leads to large non-linear
systems. Solution of such big discretized nonlinear problems
needsfast, highly scalable, and parallelize
solvers.Nonlinear multigrid is a well-known method for
efficiently solving nonlin-ear boundary value problems. The
full approximation scheme (FAS) solvesnonlinear problems on
fine and coarse grids. To smooth the nonlinear prob-lem a
suitable nonlinear solver is needed and since a matrix-free
implemen-tation is desirable, this form of implementation of
the smoother should beplausible. For this purpose, the
nonlinear additive Schwarz method (NASM)seems to be an
appropriate choice. NASM converges with the same rateas
linear iterations applied to the linearised equation. In
addition, it is inher-ently parallel and proper to be
implemented in matrix-free form.We combine FAS and NASM to
obtain hybrid NASM/FAS. The FAS solvesthe nonlinear problem
and the NASM is the smoother of the nonlinearboundary value
problem in local subdomains on each level of the
multigridmethod. Within the NASM, Jacobian-Free Newton
Krylov method is usedas a solver on each subdomain. We
consider different nonlinear equationsin 3D space as test
problems. We investigated several parameters of themethods
to have a better understanding of influence of the
parameters onthe efficiency of the method and its
convergence rate.},
month = {Feb},
date = {2023-02-26},
organization = {SIAM-CSE, Amsterdam (Netherlands), 26
Feb 2023 - 3 Mar 2023},
subtyp = {After Call},
pnm = {5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs)
and Research Groups (POF4-511)},
pid = {G:(DE-HGF)POF4-5112},
typ = {PUB:(DE-HGF)24},
url = {https://juser.fz-juelich.de/record/1019407},
}