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Generalized shift-splitting preconditioners for nonsingular and singular generalized saddle point problems
被引:41
|作者:
Shen, Qin-Qin
[1
]
Shi, Quan
[1
]
机构:
[1] Nantong Univ, Sch Transportat, Nantong 226019, Peoples R China
基金:
中国国家自然科学基金;
关键词:
Saddle point problem;
Shift-splitting iteration;
Preconditioning;
Convergence;
Semi-convergence;
ITERATION METHODS;
MATRICES;
CONVERGENCE;
SYSTEMS;
D O I:
10.1016/j.camwa.2016.05.022
中图分类号:
O29 [应用数学];
学科分类号:
070104 ;
摘要:
Based on the shift-splitting technique, a class of generalized shift-splitting preconditioners are proposed for both nonsingular and singular generalized saddle point problems. The generalized shift-splitting preconditioner is induced by a generalized shift-splitting of the generalized saddle point matrix, resulting in a generalized shift-splitting fixed-point iteration. Theoretical analyses show that the generalized shift-splitting iteration method is convergent and semi-convergent unconditionally for solving the nonsingular and the singular generalized saddle point problems, respectively. Numerical experiments of a model Navier-Stokes problem are implemented to demonstrate the feasibility and effectiveness of the proposed preconditioners. (C) 2016 Elsevier Ltd. All rights reserved.
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页码:632 / 641
页数:10
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