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首页> 外文期刊>The Electronic Journal of Linear Algebra >Convergence on Gauss-Seidel iterative methods for linear systems with general H-matrices
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Convergence on Gauss-Seidel iterative methods for linear systems with general H-matrices

机译:具有一般H矩阵的线性系统的Gauss-Seidel迭代方法的收敛性

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It is well known that as a famous type of iterative methods in numerical linear algebra, Gauss-Seidel iterative methods are convergent for linear systems with strictly or irreducibly diagonally dominant matrices, invertible H?matrices (generalized strictly diagonally dominant matrices) and Hermitian positive definite matrices. But, the same is not necessarily true for linear systems with non-strictly diagonally dominant matrices and general H?matrices. This paper firstly proposes some necessary and sufficient conditions for convergence on Gauss-Seidel iterative methods to establish several new theoretical results on linear systems with nonstrictly diagonally dominant matrices and general H?matrices. Then, the convergence results on preconditioned Gauss-Seidel (PGS) iterative methods for general H?matrices are presented. Finally, some numerical examples are given to demonstrate the results obtained in this paper.
机译:众所周知,高斯-塞德尔迭代法是数值线性代数中一种著名的迭代方法,它收敛于具有严格或不可约对角占优矩阵,可逆H?矩阵(广义严格对角占优矩阵)和Hermitian正定矩阵的线性系统矩阵。但是,对于具有非严格对角优势矩阵和一般H?矩阵的线性系统,不一定是相同的。本文首先为Gauss-Seidel迭代方法的收敛提出了一些充要条件,以建立具有非严格对角占优矩阵和一般H?矩阵的线性系统的一些新的理论结果。然后,给出了针对一般H?矩阵的预处理高斯-赛德尔(PGS)迭代方法的收敛结果。最后,给出了一些数值例子来说明本文所获得的结果。

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