Adaptive decomposition finite difference methods for solving singular problems-A review

被引:25
作者
Sheng, Qin [1 ]
机构
[1] Baylor Univ, Dept Math, Ctr Astrophys Space Phys & Engn Res, Waco, TX 76798 USA
关键词
Singularity; degeneracy; finite difference approximation; uniform and nonuniform grid; decomposition; adaptation; monotonicity and stability; large system of equations; OPERATOR-SPLITTING METHODS; MOVING MESH METHODS; NUMERICAL-SOLUTION; ERROR ESTIMATION; DIFFUSION EQUATIONS; GRID METHOD; SCHEME; INTEGRATION; SIMULATION; BLOWUP;
D O I
10.1007/s11464-009-0038-0
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Decomposition, or splitting, finite difference methods have been playing an important role in the numerical solution of nonsingular differential equation problems due to their remarkable efficiency, simplicity, and flexibility in computations as compared with their peers. Although the numerical strategy is still in its infancy for solving singular differential equation problems arising from many applications, explorations of the next generation decomposition schemes associated with various kinds of adaptations can be found in many recent publications. The novel approaches have been proven to be highly effective and reliable in operations. In this article, we will focus on some of the latest developments in the area. Key comments and discussion will be devoted to two particularly interesting issues in the research, that is, direct solutions of degenerate singular reaction-diffusion equations and nonlinear sine-Gordon wave equations. Numerical experiments with simulated demonstrations will be given.
引用
收藏
页码:599 / 626
页数:28
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