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- W3035142666 abstract "Recently, Cao proposed a regularized deteriorated positive and skewHermitian splitting (RDPSS) preconditioner for the non-Hermitian nonsingular saddle point problem. In this paper, we consider applying RDPSS preconditioner to solve the singular saddle point problem. Moreover, we propose a two-parameter accelerated variant of the RDPSS (ARDPSS) preconditioner to further improve its efficiency. Theoretical analysis proves that the RDPSS and ARDPSS methods are semi-convergent unconditionally. Some spectral properties of the corresponding preconditioned matrices are analyzed. Numerical experiments indicate that better performance can be achieved when applying the ARDPSS preconditioner to accelerate the GMRES method for solving the singular saddle point problem." @default.
- W3035142666 created "2020-06-19" @default.
- W3035142666 creator A5017523144 @default.
- W3035142666 date "2020-06-01" @default.
- W3035142666 modified "2023-10-16" @default.
- W3035142666 title "Regularized DPSS Preconditioners for Singular Saddle Point Problems" @default.
- W3035142666 doi "https://doi.org/10.4208/nmtma.oa-2019-0123" @default.
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