An aggregation-based domain decomposition preconditioner for groundwater flow

被引：35
|
作者：
Jenkins, EW
Kees, CE
Kelley, CT
Miller, CT
机构：
[1] Univ Texas, TICAM, Austin, TX 78712 USA
[2] Univ N Carolina, Dept Environm Sci & Engn, Chapel Hill, NC 27599 USA
[3] N Carolina State Univ, Ctr Res Sci Computat, Raleigh, NC 27695 USA
[4] N Carolina State Univ, Dept Math, Raleigh, NC 27695 USA
来源：
SIAM JOURNAL ON SCIENTIFIC COMPUTING | 2001年 / 23卷 / 02期
关键词：
domain decomposition; Newton-Krylov-Schwarz methods; Richards' equation; nonlinear equations; aggregation;
D O I：
10.1137/S1064827500372274
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
We consider theoretical and computational issues associated with an aggregation-based domain decomposition preconditioner applied to a Bi-CGSTAB iterative solver used to solve both Laplace's equation and an important nonlinear model from hydrology used to simulate unsaturated flow, Richards equation. Theoretical results for Laplace's equation provide estimates of the condition number and the rate of convergence for a two-level Schwarz domain decomposition preconditioner. Computational results for Laplace's equation and Richards' equation show excellent scalability, although no theory is yet available to support the results for the difficult nonlinear problem.
引用
收藏
页码：430 / 441
页数：12
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