Dirichlet-Neumann and Neumann-Neumann Waveform Relaxation Algorithms for Parabolic Problems
Dirichlet-Neumann and Neumann-Neumann Waveform Relaxation Algorithms for Parabolic Problems
复制标题
抛物线问题的 Dirichlet-Neumann 和 Neumann-Neumann 波形弛豫算法
DOI:
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发表时间:
2013-11
影响因子:
1.3
通讯作者:
al
中科院分区:
文献类型:
--
作者:
Martin J. G;er;Felix Kwok;Bankim C. M;al
We present a waveform relaxation version of the Dirichlet-Neumann and Neumann-Neumann methods for parabolic problems. Like the Dirichlet-Neumann method for steady problems, the method is based on a non-overlapping spatial domain decomposition, and the iteration involves subdomain solves with Dirichlet boundary conditions followed by subdomain solves with Neumann boundary conditions. For the Neumann-Neumann method, one step of the method consists of solving the subdomain problems using Dirichlet interface conditions, followed by a correction step involving Neumann interface conditions. However, each subdomain problem is now in space and time, and the interface conditions are also time-dependent. Using Laplace transforms, we show for the heat equation that when we consider finite time intervals, the Dirichlet-Neumann and Neumann-Neumann methods converge superlinearly for an optimal choice of the relaxation parameter, similar to the case of Schwarz waveform relaxation algorithms. The convergence rate depends on the size of the subdomains as well as the length of the time window. For any other choice of the relaxation parameter, convergence is only linear. We illustrate our results with numerical experiments.
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DOI:
10.1109/tcad.1982.1270004
发表时间:
1982-07
影响因子:
2.9
作者:
E. Lelarasmee;A. Ruehli;A. Sangiovanni-Vincentelli
通讯作者:
E. Lelarasmee;A. Ruehli;A. Sangiovanni-Vincentelli
DOI:
--
发表时间:
--
期刊:
Journal de Mathématiques Pures et Appliquées
影响因子:
--
作者:
É. Picard
通讯作者:
É. Picard
DOI:
10.1016/0377-0427(91)90150-i
发表时间:
1991-02
影响因子:
2.4
作者:
P. Tallec;Y.H.De Roeck;M. Vidrascu
通讯作者:
P. Tallec;Y.H.De Roeck;M. Vidrascu
DOI:
10.1137/s1064827596305337
发表时间:
1998-11
期刊:
SIAM J. Sci. Comput.
影响因子:
--
作者:
M. Gander;A. Stuart
通讯作者:
M. Gander;A. Stuart
影响因子:
2.4
作者:
M. Heinkenschloss;M. Herty
通讯作者:
M. Heinkenschloss;M. Herty