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• W2604862712 abstract "A new relaxed PSS-like iteration scheme for the nonsymmetric saddle point problem is proposed. As a stationary iterative method, the new variant is proved to converge unconditionally. When used for preconditioning, the preconditioner differs from the coefficient matrix only in the upper-right components. The theoretical analysis shows that the preconditioned matrix has a well-clustered eigenvalues around (1, 0) with a reasonable choice of the relaxation parameter. This sound property is desirable in that the related Krylov subspace method can converge much faster, which is validated by numerical examples." @default.
• W2604862712 created "2017-04-14" @default.
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• W2604862712 date "2017-09-01" @default.
• W2604862712 modified "2023-09-24" @default.
• W2604862712 title "A new relaxed PSS preconditioner for nonsymmetric saddle point problems" @default.
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• W2604862712 doi "https://doi.org/10.1016/j.amc.2017.03.022" @default.
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