Optimization of the Hermitian and Skew-Hermitian Splitting Iteration for Saddle-Point Problems
By Michele Benzi, Martin J. Gander, Gene H. Golub. 2003
113 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computational Theory and Mathematics, Numerical Analysis
View Paper: https://www.semanticscholar.org/paper/5f5fb8f2c36622f625a1f0d78bb1484c7bf329bd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Michele Benzi
- Masoud Hajarian
- Mehdi Dehghan
- Marzieh Dehghani-Madiseh
- Gene H. Golub
- Yang Cao
- Xueping Guo
- Qiang Niu
In Computational Theory and Mathematics
- Masoud Hajarian
- Mehdi Dehghan
- Michele Benzi
- Marzieh Dehghani-Madiseh
- Yang Cao
- Gene H. Golub
- Qiang Niu
- Mei-Qun Jiang
In Numerical Analysis
- Masoud Hajarian
- Mehdi Dehghan
- Michele Benzi
- Marzieh Dehghani-Madiseh
- Xueping Guo
- Yang Cao
- Qiang Niu
- Mei-Qun Jiang
Citations in the corpus
- A Relaxed HSS Preconditioner for Saddle Point Problems from Meshfree Discretization (2013, background): “A variety of preconditioners have been proposed and studied in many papers, such as block diagonal and block triangular preconditioners [7,19,20,24], constraint preconditioners [8,25], HSS-based preconditioners [3, 6, 12, 13, 30], dimensional split preconditioners [15, 16], H−matrix preconditioners ”
- Neurobiology of Aging: Contents (2005, unknown): “The use of HSS as a preconditioner for rather general saddle point problems has been studied in [45, 46, 443].”
- A Generalized Preconditioned MHSS Method for a Class of Complex Symmetric Linear Systems (2013, methodology): “The method was extended to the solution of saddle point problems [12,13] and the idea of using two parameters to accelerate the HSS iteration method for solving saddle point linear systems was introduced in [6] and deeply discussed in [3].”
- A Preconditioner for Generalized Saddle Point Problems (2004, methodology): “01, showing the clustering near 0 and 2 predicted by the theory developed in [6].”
- A dimensional split preconditioner for Stokes and linearized Navier-Stokes equations (2011, methodology): “Future work should include further analysis of the preconditioned iteration, including using Local Fourier Analysis [28,3] for estimating the optimal value of the relaxation parameter α, and extension to the 3D case.”