A Fast Shift-Splitting Method for Singular Generalized Saddle Point Problems

A Fast Shift-Splitting Method for Singular Generalized Saddle Point Problems

Year:    2017

Author:    Quan-Yu Dou, Ze-Yu Liao, Zeng-Qi Wang, Jun-Feng Yin

Journal of Mathematical Study, Vol. 50 (2017), Iss. 4 : pp. 358–374

Abstract

For the iteration solution of singular generalized saddle point problems, a fast shift-splitting iteration method based on shift-splitting technique and symmetric and skew-symmetric splitting with respect to the upper-left block of the system matrix is proposed in this paper. Semi-convergence of the proposed method is carefully studied for singular case, and the conditions guaranteeing the semi-convergence are derived. Numerical experiments of a class of linearized Navier-Stokes equations are implemented to demonstrate the feasibility and effectiveness of the proposed method.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/jms.v50n4.17.05

Journal of Mathematical Study, Vol. 50 (2017), Iss. 4 : pp. 358–374

Published online:    2017-01

AMS Subject Headings:   

Copyright:    COPYRIGHT: © Global Science Press

Pages:    17

Keywords:    Shift-splitting iteration method singular generalized saddle point problems semi-convergence.

Author Details

Quan-Yu Dou

Ze-Yu Liao

Zeng-Qi Wang

Jun-Feng Yin