A monotone domain decomposition algorithm for solving weighted average approximations to nonlinear singularly perturbed parabolic problems

被引:0
|
作者
Boglaev, Igor [1 ]
Hardy, Matthew [2 ]
机构
[1] Massey Univ, Inst Fundamental Sci, Palmerston North, New Zealand
[2] Australian Natl Univ, Inst Math Sci, Canberra, ACT 0200, Australia
关键词
parabolic reaction-diffusion problem; boundary layers; theta-method; monotone domain decomposition algorithm; uniform convergence;
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper presents and analyzes a monotone domain decomposition algorithm for solving nonlinear singularly perturbed react ion-diffusion problems of parabolic type. To solve the nonlinear weighted average finite difference scheme for the partial differential equation, we construct a monotone domain decomposition algorithm based on a Schwarz alternating method and a box-domain decomposition. This algorithm needs only to solve linear discrete systems at each iterative step and converges monotonically to the exact solution of the nonlinear discrete problem. The rate of convergence of the monotone domain decomposition algorithm is estimated. Numerical experiments are presented.
引用
收藏
页码:76 / 97
页数:22
相关论文
共 50 条