Abstract. For Ax = b, it has recently been reported that the conver-gence of the preconditioned Gauss-Seidel iterative method which uses a matrix of the type P = I + S () to perform certain elementary row operations on is faster than the basic Gauss-Seidel method. In this pa-per, we discuss the adaptive Gauss-Seidel iterative method which uses P = I + S () + K () as a preconditioner. We present some comparison theorems, which show the rate of convergence of the new method is faster than the basic method and the method in [7] theoretically. Numerical examples show the effectiveness of our algorithm. 1
AbstractKotakemori et al. [H. Kotakemori, K. Harada, M. Morimoto, H. Niki, A comparison theorem for ...
AbstractIn 2002, H. Kotakemori et al. proposed the modified Gauss–Seidel (MGS) method for solving th...
AbstractKotakemori et al. (2002) [2] have reported that the convergence rate of the iterative method...
AbstractIt has recently been reported that the convergence of the preconditioned Gauss-Seidel method...
AbstractIn this paper, we present some comparison theorems on preconditioned iterative method for so...
AbstractIn 1991 A. D. Gunawardena et al. reported that the convergence rate of the Gauss-Seidel meth...
AbstractMany researchers have considered preconditioners, applied to linear systems, whose matrix co...
In this paper, the modified Gauss-Seidel method with the new preconditioner for solving the linear s...
AbstractIn 1997, Kohno et al. [Toshiyuki Kohno, Hisashi Kotakemori, Hiroshi Niki, Improving the modi...
Abstract: In this paper, we present some comparison theorems on preconditioned iterative method for...
In this paper, we present a preconditioned AOR-type iterative method for solving the linear systems ...
AbstractThe preconditioner for solving the linear system Ax=b introduced in [D.J. Evans, M.M. Martin...
A preconditioning technique based on the application of a fixedbut arbitrary number of I + Smax step...
It is well known that as a famous type of iterative methods in numerical linear algebra, Gauss-Seide...
A preconditioning technique to improve the convergence of the Gauss-Seidel method applied to symmetr...
AbstractKotakemori et al. [H. Kotakemori, K. Harada, M. Morimoto, H. Niki, A comparison theorem for ...
AbstractIn 2002, H. Kotakemori et al. proposed the modified Gauss–Seidel (MGS) method for solving th...
AbstractKotakemori et al. (2002) [2] have reported that the convergence rate of the iterative method...
AbstractIt has recently been reported that the convergence of the preconditioned Gauss-Seidel method...
AbstractIn this paper, we present some comparison theorems on preconditioned iterative method for so...
AbstractIn 1991 A. D. Gunawardena et al. reported that the convergence rate of the Gauss-Seidel meth...
AbstractMany researchers have considered preconditioners, applied to linear systems, whose matrix co...
In this paper, the modified Gauss-Seidel method with the new preconditioner for solving the linear s...
AbstractIn 1997, Kohno et al. [Toshiyuki Kohno, Hisashi Kotakemori, Hiroshi Niki, Improving the modi...
Abstract: In this paper, we present some comparison theorems on preconditioned iterative method for...
In this paper, we present a preconditioned AOR-type iterative method for solving the linear systems ...
AbstractThe preconditioner for solving the linear system Ax=b introduced in [D.J. Evans, M.M. Martin...
A preconditioning technique based on the application of a fixedbut arbitrary number of I + Smax step...
It is well known that as a famous type of iterative methods in numerical linear algebra, Gauss-Seide...
A preconditioning technique to improve the convergence of the Gauss-Seidel method applied to symmetr...
AbstractKotakemori et al. [H. Kotakemori, K. Harada, M. Morimoto, H. Niki, A comparison theorem for ...
AbstractIn 2002, H. Kotakemori et al. proposed the modified Gauss–Seidel (MGS) method for solving th...
AbstractKotakemori et al. (2002) [2] have reported that the convergence rate of the iterative method...