A modified shift-splitting method for nonsymmetric saddle point problems

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摘要

To solve large sparse saddle point problems, based on modified shift-splitting (denoted by MSSP) iteration technique, a MSSP preconditioner is proposed. We theoretically verify the MSSP iteration method unconditionally converges to the unique solution of the saddle point problems, compute the spectral radius of the MSSP iteration matrix and estimate the sharp bounds of the eigenvalues of the corresponding iteration matrix. Numerical experiments show that the MSSP iteration method is effective and accurate.

论文关键词:Modified shift-splitting,Krylov subspace methods,Spectral property,Preconditioning technique,Convergence rate

论文评审过程:Received 22 March 2015, Revised 17 October 2016, Available online 14 December 2016, Version of Record 4 January 2017.

论文官网地址:https://doi.org/10.1016/j.cam.2016.11.032