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作 者:林欣欣[1] 马昌凤[1,2] LIN Xinxin;MA Changfeng(School of Mathematics and Statistics,Fujian Normal University,Fuzhou,Fujian 350007,China;School of Big Data,Fuzhou University of International Studies and Trade,Fuzhou,Fujian 350202,China)
机构地区:[1]福建师范大学数学与统计学院,福建福州350007 [2]福建外语外贸学院大数据学院,福建福州350202
出 处:《井冈山大学学报(自然科学版)》2024年第3期1-7,共7页Journal of Jinggangshan University (Natural Science)
基 金:国家自然科学基金项目(12371378)。
摘 要:最近一些学者对于非奇异鞍点问题提出了一种新的外推移位分裂(NESS)预处理,并研究了NESS迭代方法的收敛性以及NESS预处理矩阵的谱分布。本研究进一步将NESS迭代方法用于求解奇异的鞍点问题,给出NESS迭代法在(1,1)块子矩阵是对称正定情况下的半收敛性分析。最后通过数值实验,验证了在适当参数下NESS迭代法求解奇异鞍点问题的可行性和有效性。Recently,some researchers proposed a class of new extended shift-splitting(NESS)preconditioners for solving the nonsingular saddle point problems.The convergence properties of the NESS iteration and the spectral distribution of the NESS preconditioned matrix are investigated.In this paper,the NESS iterative method for solving singular saddle point problems is further studied,and it proves that the semi-convergence of the NESS method with the assumption that the(1,1)-block sub-matrix should be symmetric positive definite.Finally,numerical experiments are carried out to illustrate the feasibility and effectiveness of the NESS iterative method in solving the singular saddle point problem under appropriate parameters.
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