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The PPS method-based constraint preconditioners for generalized saddle point problems

  • Hai-Long ShenEmail author
  • Hong-Yu Wu
  • Xin-Hui Shao
  • Xiao-Di Song
Article
  • 18 Downloads

Abstract

For the large sparse generalized saddle point problems with non-Hermitian (1,1) blocks, we introduce a constraint preconditioner, which is based on the positive definite and semidefinite splitting (PPS) iteration method. Then we discuss one trait of the PPS-based constraint preconditioner, such as invertibility. We give the convergence of conditions of the preconditioning iteration method. Moreover, numerical experiments are given to illustrate that PPS-based constraint preconditioner has an obvious advantage of efficiency.

Keywords

Generalized saddle point problems Non-Hermitian matrix Positive definite matrix Constraint Preconditioner 

Mathematics Subject Classification

65F10 65F08 

Notes

Acknowledgements

The authors would like to express their great thankfulness to the referees for the comments and constructive suggestions, which were valuable in improving the quality of the original paper. The project was supported by the National Natural Science Foundation of China (No. 11371081) and Liaoning Natural Science Foundation (No. 20170540323).

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Copyright information

© SBMAC - Sociedade Brasileira de Matemática Aplicada e Computacional 2019

Authors and Affiliations

  • Hai-Long Shen
    • 1
    Email author
  • Hong-Yu Wu
    • 1
  • Xin-Hui Shao
    • 1
  • Xiao-Di Song
    • 1
  1. 1.Department of Mathematics, College of SciencesNortheastern UniversityShenyangPeople’s Republic of China

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