发表机构
University of Kurdistan; University of Guilan(库尔德斯坦大学; 吉兰大学)
机构由 AI 辅助整理,请以论文原文为准。AI 中文总结
本文提出不定复对称线性方程组的一种高效块预处理子,分析其谱性质与迭代收敛性,用于加速灵活型GMRES收敛,数值实验表明其性能优于现有块预处理子。
AI 中文摘要
本文在块预处理框架内提出一种用于求解不定复对称线性方程组的高效预处理子。我们分析了对应迭代方法的收敛性,并研究了预处理矩阵的若干谱性质,包括特征值分布与特征向量结构。该新预处理子用于加速灵活型GMRES的收敛,数值实验验证了所提预处理子的有效性,与现有块预处理子的对比表明其性能更优。
英文摘要
In this paper, we propose an efficient preconditioner for solving indefinite complex symmetric linear systems within a block preconditioning framework. We analyze the convergence of the corresponding iterative method and investigate several spectral properties of the preconditioned matrix, including eigenvalue distributions and eigenvector structures. The new preconditioner is used to accelerate the convergence of the flexible version of GMRES. Numerical experiments are presented to illustrate the effectiveness of the proposed preconditioner, and comparisons with existing block preconditioners demonstrate its superior performance.
Comments28 Pages and 4 Figures, Submitted