Best cyclic repartitioning for optimal successive overrelaxation convergence
SIAM Journal on Matrix Analysis and Applications
Journal of the ACM (JACM)
Comparison of Convergence of General Stationary Iterative Methods for Singular Matrices
SIAM Journal on Matrix Analysis and Applications
Parallel least squares computations and related material (conjugate gradient algorithm)
Parallel least squares computations and related material (conjugate gradient algorithm)
Block Gauss elimination followed by a classical iterative method for the solution of linear systems
Journal of Computational and Applied Mathematics
On optimal improvements of classical iterative schemes for Z-matrices
Journal of Computational and Applied Mathematics
Block Gauss elimination followed by a classical iterative method for the solution of linear systems
Journal of Computational and Applied Mathematics
A note on the preconditioned Gauss-Seidal (GS) method for linear systems
Journal of Computational and Applied Mathematics
On optimal improvements of classical iterative schemes for Z-matrices
Journal of Computational and Applied Mathematics
A note on the preconditioned Gauss-Seidel (GS) method for linear systems
Journal of Computational and Applied Mathematics
On optimal improvements of classical iterative schemes for Z-matrices
Journal of Computational and Applied Mathematics
Hi-index | 7.30 |
In the last two decades many papers have appeared in which the application of an iterative method for the solution of a linear system is preceded by a step of the Gauss elimination process in the hope that this will increase the rates of convergence of the iterative method. This combination of methods has been proven successful especially when the matrix A of the system is an M-matrix. The purpose of this paper is to extend the idea of one to more Gauss elimination steps, consider other classes of matrices A, e.g., p-cyclic consistently ordered, and generalize and improve the asymptotic convergence rates of some of the methods known so far.