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关于非Hermitian正定线性代数方程组的超松弛HSS方法 被引量:1

ONTHEOVERRELAXATIONHSS METHODFOR NONHERMITIANPOSITIVEDEFINITE LINEARALGEBRAICEQUATIONS
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摘要 本文针对求解大型稀疏非Hermitian正定线性方程组的IISS迭代方法,利用迭代法的松弛技术进行加速,提出了一种具有三个参数的超松弛HSS方法(SAHSS)和不精确的SAHSS方法(TSAHSS),它采用CG和一些Krylov子空间方法作为其内部过程,并研究了SAHSS和ISAHSS方法的收敛性.数值例子验证了新方法的有效性. In this paper,efficient iterative methods for the large sparse non-Hermitian positive definite systems of linear equations,based on the Hermitian and skew-Hermitian splitting of the coefficient matrix,are studied.Based on the relaxation technique of iterative method,A n over relaxed Hermitian/skew-Hermitian(SAHSS)iteration method with three parameters and its inexact version,the inexact Hermitian/skew-Hermitian(ISAHSS) iteration are proposed,which employs CG and some Krylov subspace methods as its inner process.The convergence of SAHSS and ISAHSS methods are studied.Numerical examples show the effectiveness of the new methods.
作者 潘春平 Pan Chunping(Zhejiang Industry Polytechnic College,shaocing,312000,China)
出处 《计算数学》 CSCD 北大核心 2022年第4期481-495,共15页 Mathematica Numerica Sinica
基金 工业设计创新团队建设项目资助.
关键词 迭代方法 非Hermitian正定矩阵 Hermitian和skew-Hermitian分裂 HSS方法 iterative methods Non-Hermitian positive definite matrix Hermitian and skew-Hermitian splitting HSS method.
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