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

Authors

  • Quan-Yu Dou School of Mathematical Sciences, Tongji University, Shanghai 200092, P.R. China
  • Ze-Yu Liao School of Mathematical Sciences, Tongji University, Shanghai 200092, P.R. China
  • Zeng-Qi Wang School of Mathematical Sciences, Shanghai Jiaotong University, Shanghai 200240, P.R. China
  • Jun-Feng Yin School of Mathematical Sciences, Tongji University, Shanghai 200092, P.R. China

DOI:

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

Keywords:

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

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.

Published

2021-11-08

Issue

Section

Articles