A memory-efficient finite element method for systems of reaction-diffusion equations with non-smooth forcing

被引:16
|
作者
Hanhart, AL
Gobbert, MK
Izu, LT
机构
[1] Univ Maryland Baltimore Cty, Dept Math & Stat, Baltimore, MD 21250 USA
[2] Univ Maryland, Dept Med, Div Cardiol, Baltimore, MD 21201 USA
基金
美国国家科学基金会;
关键词
reaction-diffusion equation; non-smooth data; Galerkin method; matrix-free iterative method; cluster computing;
D O I
10.1016/j.cam.2003.12.035
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The release of calcium ions in a human heart cell is modeled by a system of reaction-diffusion equations, which describe the interaction of the chemical species and the effects of various cell processes on them. The release is modeled by a forcing term in the calcium equation that involves a superposition of many Dirac delta functions in space; such a nonsmooth right-hand side leads to divergence for many numerical methods. The calcium ions enter the cell at a large number of regularly spaced points throughout the cell; to resolve those points adequately for a cell with realistic three-dimensional dimensions, an extremely fine spatial mesh is needed. A finite element method is developed that addresses the two crucial issues for this and similar applications: Convergence of the method is demonstrated in extension of the classical theory that does not apply to nonsmooth forcing functions like the Dirac delta function; and the memory usage of the method is optimal and thus allows for extremely fine three-dimensional meshes with many millions of degrees of freedom, already on a serial computer. Additionally, a coarse-grained parallel implementation of the algorithm allows for the solution on meshes with yet finer resolution than possible in serial. (C) 2004 Elsevier B.V. All rights reserved.
引用
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页码:431 / 458
页数:28
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