计算神经科学中奇异摄动时滞抛物型微分方程的一致收敛数值方法

IF 1 Q1 MATHEMATICS Kragujevac Journal of Mathematics Pub Date : 2022-02-01 DOI:10.46793/kgjmat2201.065w
M. Woldaregay, G. Duressa
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引用次数: 22

摘要

本工作的动机是发展ε-一致数值方法来求解具有小延迟的奇摄动抛物型时滞微分方程。为了近似具有延迟的项,使用泰勒级数展开。对于所得到的IVP系统,采用空间方向上的非标准有限差分法和时间方向上的隐式龙格-库塔法求解了所得到的奇摄动抛物型微分方程。理论上,通过保持ε-一致收敛,所开发的方法被证明是O(N−1+(∆t)2)阶的精确方法。通过两个算例研究了该格式的ε一致收敛性,所得结果与理论结果一致
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UNIFORMLY CONVERGENT NUMERICAL METHOD FOR SINGULARLY PERTURBED DELAY PARABOLIC DIFFERENTIAL EQUATIONS ARISING IN COMPUTATIONAL NEUROSCIENCE
The motive of this work is to develop ε-uniform numerical method for solving singularly perturbed parabolic delay differential equation with small delay. To approximate the term with the delay, Taylor series expansion is used. The resulting singularly perturbed parabolic differential equation is solved by using non-standard finite difference method in spatial direction and implicit Runge-Kutta method for the resulting system of IVPs in temporal direction. Theoretically the developed method is shown to be accurate of order O(N −1 + (∆t) 2 ) by preserving ε-uniform convergence. Two numerical examples are considered to investigate εuniform convergence of the proposed scheme and the result obtained agreed with the theoretical one
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CiteScore
2.50
自引率
0.00%
发文量
50
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