We discuss convergence properties of the GMRES and FOM methods for solving large Sylvester equations of the form AX-XB=C. In particular we show the importance of the separation between the fields of values of A and B on the convergence behavior of GMRES. We also discuss the stagnation phenomenon in GMRES and its consequence on FOM. We generalize the issue of breakdown in the block-Arnoldi algorithm and explain its consequence on FOM and GMRES methods. Several numerical tests illustrate the theoretical results
The governing equations of the stochastic Galerkin method can be formulated as a general- ized Sylve...
AbstractIn the present paper, we give some new convergence results of the global GMRES method for mu...
Abstract We investigate the convergence of the weighted GMRES method for solving linear systems. Two...
We present and analyze a new iterative scheme for large-scale solution of the well-known Sylvester e...
Many problems in applied mathematics can be formulated as a Sylvester matrix equation AX+XB=C. Itera...
gmres(m) method, the restarted version of the gmres (general-ized minimal residual) method, is one o...
The GMRES method is one of the most useful methods for solving a system of linear algebraic equation...
AbstractThis paper studies convergence properties of the block gmres algorithm when applied to nonsy...
In this paper, we present the block generalized minimal residual (BGMRES) method in order to solve t...
This paper proposes the modified generalization of the HSS (MGHSS) to solve a large and sparse conti...
summary:In this paper, our attention is concentrated on the GMRES method for the solution of the sys...
We consider the convergence of the algorithm GMRES of Saad and Schultz for solving linear equations ...
AbstractIn this paper we show how to improve the approximate solution of the large Sylvester equatio...
In this paper, we consider both local and global convergence of the Newton algorithm to solve nonlin...
Based on the Hermitian and skew-Hermitian splitting (HSS) iteration technique, we establish a genera...
The governing equations of the stochastic Galerkin method can be formulated as a general- ized Sylve...
AbstractIn the present paper, we give some new convergence results of the global GMRES method for mu...
Abstract We investigate the convergence of the weighted GMRES method for solving linear systems. Two...
We present and analyze a new iterative scheme for large-scale solution of the well-known Sylvester e...
Many problems in applied mathematics can be formulated as a Sylvester matrix equation AX+XB=C. Itera...
gmres(m) method, the restarted version of the gmres (general-ized minimal residual) method, is one o...
The GMRES method is one of the most useful methods for solving a system of linear algebraic equation...
AbstractThis paper studies convergence properties of the block gmres algorithm when applied to nonsy...
In this paper, we present the block generalized minimal residual (BGMRES) method in order to solve t...
This paper proposes the modified generalization of the HSS (MGHSS) to solve a large and sparse conti...
summary:In this paper, our attention is concentrated on the GMRES method for the solution of the sys...
We consider the convergence of the algorithm GMRES of Saad and Schultz for solving linear equations ...
AbstractIn this paper we show how to improve the approximate solution of the large Sylvester equatio...
In this paper, we consider both local and global convergence of the Newton algorithm to solve nonlin...
Based on the Hermitian and skew-Hermitian splitting (HSS) iteration technique, we establish a genera...
The governing equations of the stochastic Galerkin method can be formulated as a general- ized Sylve...
AbstractIn the present paper, we give some new convergence results of the global GMRES method for mu...
Abstract We investigate the convergence of the weighted GMRES method for solving linear systems. Two...