Optimum parameter for the SOR-like method for augmented systems
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Publication:3154808
DOI10.1080/00207160410001688646zbMath1068.65043OpenAlexW2143460963MaRDI QIDQ3154808
Chang-jun Li, Zheng Li, Yi-Yong Nie, Xin-hui Shao, David J. Evans
Publication date: 14 January 2005
Published in: International Journal of Computer Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207160410001688646
SORChebyshev polynomialsconvergence accelerationSchur complementsaddle point problemssuccessive overrelaxationapproximative inverse
Related Items (12)
Inner solvers for interior point methods for large scale nonlinear programming ⋮ Application of modified homotopy perturbation method for solving the augmented systems ⋮ SSOR-like methods for saddle point problems ⋮ A new SOR-like method for solving absolute value equations ⋮ Parameterized preconditioning for generalized saddle point problems arising from the Stokes equation ⋮ Adaptive Relaxation Strategy on Basic Iterative Methods for Solving Linear Systems with Single and Multiple Right-Hand Sides ⋮ Modified SOR-like method for the augmented system ⋮ Optimal parameters of the generalized symmetric SOR method for augmented systems ⋮ Two-parameter GSOR method for the augmented system ⋮ On the minimum convergence factor of a class of GSOR-like methods for augmented systems ⋮ A variant of the AOR method for augmented systems ⋮ Generalized successive overrelaxation iterative method for a class of complex symmetric linear system of equations
Cites Work
- A generalized successive overrelaxation method for least squares problems
- Minimum residual methods for augmented systems
- Stability of Augmented System Factorizations in Interior-Point Methods
- Inexact and Preconditioned Uzawa Algorithms for Saddle Point Problems
- A new iterative method for large sparse saddle point problems
- SOR-like methods for augmented systems
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