An Improved Iterative Scheme using Successive Over-relaxation for Solution of Linear System of Equations

Z. Kalhoro, Zubair Zaheer Ahmed, Ahmed Kalhoro, Abdul Wasim Shaikh, Muhammad Shakeel, Rind Baloch, Owais Ali Rajput
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Abstract

To solve the system of linear equations is one of the hottest topics in iterative methods. The system of linear equations occurs in business, engineering, social and in sensitive research areas like medicine, therefore applying efficient matrix solvers to such systems is crucial. In this paper, an improved iterative scheme using successive overrelaxation has been constructed. The proposed iterative method converges well when a linear system’s matrix is M-matrix, Symmetric positive definite with some conditions, irreducibly diagonally dominant, strictly diagonally dominant, and H-matrix. Such type of linear system of equations does arise usually from ordinary differential equations and partial differential equations. The improved iterative scheme has decreased spectral radius, improved stability and reduced the number of iterations. To show the effectiveness of the improved scheme, it is compared with the refinement of generalized successive over-relaxation and generalized successive over-relaxation method with the help of numerical experiments using MATLAB software.
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线性方程组解的逐次过松弛迭代格式的改进
求解线性方程组是迭代方法中最热门的课题之一。线性方程组出现在商业、工程、社会和医学等敏感研究领域,因此将高效的矩阵求解器应用于此类系统至关重要。本文构造了一个使用连续超松弛的改进迭代方案。当线性系统的矩阵是M-矩阵、具有某些条件的对称正定、不可约对角占优、严格对角占优和H-矩阵时,所提出的迭代方法收敛性很好。这种类型的线性方程组通常由常微分方程和偏微分方程产生。改进的迭代方案减小了谱半径,提高了稳定性,减少了迭代次数。为了证明改进方案的有效性,利用MATLAB软件进行数值实验,将其与广义逐次过松弛和广义逐次过弛方法的改进进行了比较。
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来源期刊
Proceedings of the Pakistan Academy of Sciences: Part A
Proceedings of the Pakistan Academy of Sciences: Part A Computer Science-Computer Science (all)
CiteScore
0.70
自引率
0.00%
发文量
15
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