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Modified Hermitian-normal splitting iteration methods for a class of complex symmetric linear systems

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Abstract

In this paper, the modifications of the Hermitian-Normal splitting iteration methods for solving a class of complex symmetric linear systems are presented. Theoretical analysis shows that the modified iteration methods of Hermitian-normal splitting are unconditionally convergent; the coefficient matrices of the two linear systems solved in each iteration of the methods are real symmetric positive definite. Inexact version of the methods employs the Krylov subspace method as an internal iteration to accelerate. Numerical examples from two model problems are given to illustrate the effectiveness of the modified iteration methods.

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Acknowledgements

We gratefully acknowledge the reviewers for their patience in reading the first draft of this paper and for their valuable suggestions on revision.

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Correspondence to Mei Qin.

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Communicated by Zhong-Zhi Bai.

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This work was supported by National Natural Science Foundation of China (No. 11101282), by Shanghai Leading Academic Discipline Project (No. XTKX2012), and by Innovation Program of Shanghai Municipal Education Commission (No. 14YZ096).

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Du, YK., Qin, M. Modified Hermitian-normal splitting iteration methods for a class of complex symmetric linear systems. Comp. Appl. Math. 39, 190 (2020). https://doi.org/10.1007/s40314-020-01219-2

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