Some new preconditioned generalized AOR methods for solving weighted linear least squares problems
From MaRDI portal
Publication:1655385
DOI10.1007/s40314-016-0350-8zbMath1397.65050OpenAlexW2374521499MaRDI QIDQ1655385
Zhong Xu, Li-Gong Wang, Jing-Jing Cui, Zheng-Ge Huang
Publication date: 9 August 2018
Published in: Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s40314-016-0350-8
Related Items (2)
A preconditioned AOR iterative scheme for systems of linear equations with \(L\)-matrics ⋮ Unnamed Item
Cites Work
- Unnamed Item
- Unnamed Item
- Some results on preconditioned GAOR methods
- Convergence of GAOR method for doubly diagonally dominant matrices
- A new family of \((I+S)\)-type preconditioner with some applications
- Modified iterative methods for consistent linear systems
- Preconditioned AOR iterative method for linear systems
- Preconditioned AOR iterative methods for \(M\)-matrices
- Improving Jacobi and Gauss-Seidel iterations
- Convergence of the generalized AOR method
- Comparison results on preconditioned GAOR methods for weighted linear least squares problems
- Numerical methods for generalized least squares problems
- Improvements of preconditioned AOR iterative method for \(L\)-matrices
- Preconditioned iterative methods for solving weighted linear least squares problems
- Convergence of generalized AOR iterative method for linear systems with strictly diagonally dominant matrices
- On convergence of the generalized AOR method for linear systems with diagonally dominant coefficient matrices
- Preconditioned GAOR methods for solving weighted linear least squares problems
- On a class of row preconditioners for solving linear systems
- Accelerated Overrelaxation Method
- Comparison results on the preconditioned GAOR method for generalized least squares problems
- Some new preconditioned generalized AOR methods for generalized least-squares problems
This page was built for publication: Some new preconditioned generalized AOR methods for solving weighted linear least squares problems
