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一种基于对角矩阵分裂的快速迭代方法及其应用OA

A Kind of Fast Iterative Methods With the Application Based on Diagonal Matrix Splitting

中文摘要英文摘要

线性方程组的快速求解一直是科学计算领域的研究热点之一.文中提出了一种对角矩阵分裂迭代方法,其不同于经典的矩阵分裂.以系数矩阵对角元的分解为核心,构建了若干新的预条件子.以三对角系数矩阵为例,从理论上分析了新方法的收敛域与最佳松弛因子.将所提新迭代方法应用于线性代数方程组,以及全隐离散下的二维、三维扩散问题的求解.数值实验结果与理论分析一致,同时显示了新方法大幅减少了迭代次数.所提出的迭代方法显著优于部分经典迭代方法.

The fast solution of linear equations has always been one of the hot spots in scientific comput-ing.A kind of the diagonal matrix splitting iteration methods are provided,which is different from the classical matrix splitting methods.Taking the decomposition of the diagonal elements for coefficient matrix as the key point,some new preconditioners are constructed.Taking the tri-diagonal coefficient matrix as an example,the convergence domains and optimal relaxation factor of the new method are ana-lyzed theoretically.The presented new iteration methods are applied to solve linear algebraic equations,even 2D and 3D diffusion problems with the fully implicit discretization.The results of numerical experi-ments are matched with the theoretical analysis,and show that the iteration numbers are reduced greatly.The superiorities of presented iteration methods exceed some classical iteration methods dramatically.

许秋燕

宁夏大学 数学统计学院,宁夏 银川 750021

数理科学

迭代矩阵分裂扩散方程收敛性最佳松弛因子

iterationmatrix splittingdiffusion equationconvergenceoptimal relaxation factor

《宁夏大学学报(自然科学版中英文)》 2026 (1)

1-13,13

The National Natural Science Foundations of China(12202219)the Natural Science Foundations of Ningxia(2024AAC02009,2023AAC05001)the Ningxia Youth Top Talents Training Project

10.20176/j.cnki.nxdz.20251215

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