In this paper we study how the overlapping size influences the convergence rate of an optimized Schwarz domain decomposition (DD) method with relaxation in the two subdomain case for the Helmholtz equation. Through choosing suitable parameters, we find that the convergence rate is independent of the wave number k and mesh size h, but sensitively depends on the overlapping size. Furthermore, by careful analysis, we obtain that the convergence behavior deteriorates with the increase of the overlapping size. Numerical results which confirm our theory are given.
Mots-clés : optimized Schwarz method, the Helmholtz equation, overlapping size
@article{M2AN_2019__53_1_249_0, author = {Liu, Yongxiang and Xu, Xuejun}, title = {An optimized {Schwarz} method with relaxation for the {Helmholtz} equation: the negative impact of overlap}, journal = {ESAIM: Mathematical Modelling and Numerical Analysis }, pages = {249--268}, publisher = {EDP-Sciences}, volume = {53}, number = {1}, year = {2019}, doi = {10.1051/m2an/2018061}, zbl = {1418.65190}, mrnumber = {3937351}, language = {en}, url = {http://www.numdam.org/articles/10.1051/m2an/2018061/} }
TY - JOUR AU - Liu, Yongxiang AU - Xu, Xuejun TI - An optimized Schwarz method with relaxation for the Helmholtz equation: the negative impact of overlap JO - ESAIM: Mathematical Modelling and Numerical Analysis PY - 2019 SP - 249 EP - 268 VL - 53 IS - 1 PB - EDP-Sciences UR - http://www.numdam.org/articles/10.1051/m2an/2018061/ DO - 10.1051/m2an/2018061 LA - en ID - M2AN_2019__53_1_249_0 ER -
%0 Journal Article %A Liu, Yongxiang %A Xu, Xuejun %T An optimized Schwarz method with relaxation for the Helmholtz equation: the negative impact of overlap %J ESAIM: Mathematical Modelling and Numerical Analysis %D 2019 %P 249-268 %V 53 %N 1 %I EDP-Sciences %U http://www.numdam.org/articles/10.1051/m2an/2018061/ %R 10.1051/m2an/2018061 %G en %F M2AN_2019__53_1_249_0
Liu, Yongxiang; Xu, Xuejun. An optimized Schwarz method with relaxation for the Helmholtz equation: the negative impact of overlap. ESAIM: Mathematical Modelling and Numerical Analysis , Tome 53 (2019) no. 1, pp. 249-268. doi : 10.1051/m2an/2018061. http://www.numdam.org/articles/10.1051/m2an/2018061/
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