Parameterized preconditioned Hermitian and skew-Hermitian splitting iteration method for saddle-point problems
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Publication:2921926
DOI10.1080/00207160.2013.829216zbMath1304.65129OpenAlexW2072074484WikidataQ57644420 ScholiaQ57644420MaRDI QIDQ2921926
Yu-Jiang Wu, Xu Li, Ai-Li Yang
Publication date: 14 October 2014
Published in: International Journal of Computer Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207160.2013.829216
convergencepreconditioningiteration methodoptimal parameterskew-Hermitian splittingHermitian splittingSaddle-point problem
Iterative numerical methods for linear systems (65F10) Numerical solution of discretized equations for boundary value problems involving PDEs (65N22) Preconditioners for iterative methods (65F08)
Related Items (14)
A class of modified GSS preconditioners for complex symmetric linear systems ⋮ Modified accelerated parameterized inexact Uzawa method for singular and nonsingular saddle point problems ⋮ AQTTTS-based iteration methods for weakly nonlinear systems with diagonal-plus-Toeplitz structure ⋮ On Non-Hermitian Positive (Semi)Definite Linear Algebraic Systems Arising from Dissipative Hamiltonian DAEs ⋮ On quasi shift-splitting iteration method for a class of saddle point problems ⋮ On a New SSOR-Like Method with Four Parameters for the Augmented Systems ⋮ The modified PAHSS-PU and modified PPHSS-SOR iterative methods for saddle point problems ⋮ Modified PHSS iterative methods for solving nonsingular and singular saddle point problems ⋮ Minimum residual Hermitian and skew-Hermitian splitting iteration method for non-Hermitian positive definite linear systems ⋮ The generalized modified shift-splitting preconditioners for nonsymmetric saddle point problems ⋮ A non-alternating preconditioned HSS iteration method for non-Hermitian positive definite linear systems ⋮ Improved PPHSS iterative methods for solving nonsingular and singular saddle point problems ⋮ An accelerated symmetric SOR-like method for augmented systems ⋮ Generalized ASOR and modified ASOR methods for saddle point problems
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