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Generalized shift-splitting preconditioners for nonsingular and singular generalized saddle point problems

机译:非奇异和广义鞍点问题的广义移位分裂预处理器

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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.
机译:基于位移分离技术,针对非奇异和奇异广义鞍点问题,提出了一类广义的位移分离预处理器。通过广义鞍点矩阵的广义移位分解来产生广义移位分裂预处理器,从而导致广义移位分裂定点迭代。理论分析表明,广义位移分裂迭代方法分别求解非奇异广义鞍点问题是收敛的和半收敛的。进行了模型Navier-Stokes问题的数值实验,以证明所提出的预处理器的可行性和有效性。 (C)2016 Elsevier Ltd.保留所有权利。

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