A Tension Spline Based Numerical Algorithm for Singularly Perturbed Partial Differential Equations on Non-uniform Discretization

IF 1.2 4区 数学 Q2 MATHEMATICS, APPLIED
Murali Mohan Kumar P., Ravi Kanth A.S.V.
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引用次数: 0

Abstract

The present study investigates an algorithm numerically for finding the solution of partial differential equation with differences involved singular perturbation parameter(SPPDE) on non-uniform grid. Taylor series expansion provides a close approximation of the delay and advance terms in the convection-diffusion terms. After the approximations in shift containing terms, we applied the Crank-Nicolson application on uniform grid in the vertical direction. Subsequently, the resultant system is employed by the method of tension spline on a piece-wise uniform grid. Empirical evidence has shown that the suggested approach exhibits second-order characteristics in both the spatial and temporal dimensions. The effectiveness of derived scheme demonstrated through the solution of examples and the results are compared with existed methods. In the conclusion section, we will discuss the effect of shift parameters behavior for various singular perturbation parameter.

基于张力样条的非均匀离散奇异扰动偏微分方程数值算法
本研究探讨了在非均匀网格上求解带差分奇异扰动参数(SPPDE)偏微分方程的数值算法。泰勒级数展开提供了对流扩散项中延迟和提前项的近似值。在对包含移项的项进行近似后,我们在垂直方向的均匀网格上应用了 Crank-Nicolson 应用。随后,在片状均匀网格上采用张力样条法对结果系统进行了处理。经验证明,所建议的方法在空间和时间维度上都表现出二阶特性。通过实例求解证明了衍生方案的有效性,并将结果与现有方法进行了比较。在结论部分,我们将讨论各种奇异扰动参数的偏移参数行为的影响。
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来源期刊
Acta Applicandae Mathematicae
Acta Applicandae Mathematicae 数学-应用数学
CiteScore
2.80
自引率
6.20%
发文量
77
审稿时长
16.2 months
期刊介绍: Acta Applicandae Mathematicae is devoted to the art and techniques of applying mathematics and the development of new, applicable mathematical methods. Covering a large spectrum from modeling to qualitative analysis and computational methods, Acta Applicandae Mathematicae contains papers on different aspects of the relationship between theory and applications, ranging from descriptive papers on actual applications meeting contemporary mathematical standards to proofs of new and deep theorems in applied mathematics.
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