Improved PHSS iterative methods for solving saddle point problems

DOI10.1007/s11075-015-0022-6zbMath1338.65088OpenAlexW2180332188MaRDI QIDQ281466

Ke Wang, Don Liu, Jingjing Di

Publication date: 11 May 2016

Published in: Numerical Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11075-015-0022-6

zbMATH Keywords

convergencecomparison of methodspreconditioningconjugate gradient methodnumerical experimentGauss-Seidel methodsaddle point problempartial pivotingskew-Hermitian splitting methodUzawa method

Mathematics Subject Classification ID

Iterative numerical methods for linear systems (65F10) Preconditioners for iterative methods (65F08)

Related Items (12)

A class of modified GSS preconditioners for complex symmetric linear systems ⋮ Updated preconditioned Hermitian and skew-Hermitian splitting-type iteration methods for solving saddle-point problems ⋮ Two-parameter double-step scale splitting real-valued iterative method for solving complex symmetric linear systems ⋮ On quasi shift-splitting iteration method for a class of saddle point problems ⋮ Convergence analysis for modified PAHSS-PU method with new parameter setting ⋮ On a New SSOR-Like Method with Four Parameters for the Augmented Systems ⋮ The modified PAHSS-PU and modified PPHSS-SOR iterative methods for saddle point problems ⋮ Modified PHSS iterative methods for solving nonsingular and singular saddle point problems ⋮ Improved PPHSS iterative methods for solving nonsingular and singular saddle point problems ⋮ Double-step scale splitting real-valued iteration method for a class of complex symmetric linear systems ⋮ A low-order block preconditioner for saddle point linear systems ⋮ Newton-PGSS and its improvement method for solving nonlinear systems with saddle point Jacobian matrices

Uses Software

• HSL
• PARDISO

Cites Work

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