AbstractIn the present paper, we give some new convergence results of the global GMRES method for multiple linear systems. In the case where the coefficient matrix A is diagonalizable, we derive new upper bounds for the Frobenius norm of the residual. We also consider the case of normal matrices and we propose new expressions for the norm of the residual
The convergence of GMRES for solving linear systems can be influenced heavily by the structure of th...
GMRES is an iterative method for solving linear systems that minimizes the residual over the k-dimen...
summary:In this paper, our attention is concentrated on the GMRES method for the solution of the sys...
AbstractIn the present paper, we give some new convergence results of the global GMRES method for mu...
AbstractIn the present paper, we give some convergence results of the global minimal residual method...
AbstractThe behavior of iterative methods of GMRES-type when applied to singular, possibly inconsist...
We consider the convergence of the algorithm GMRES of Saad and Schultz for solving linear equations ...
AbstractThis paper studies convergence properties of the block gmres algorithm when applied to nonsy...
We investigate the convergence of the weighted GMRES method for solving linear systems. Two differen...
The Generalized Minimal RESidual (gmres) method is a well-established strategy for iteratively solvi...
Eigenvalues with the eigenvector condition number, the field of values, and pseudospectra have all b...
The main purpose of this paper is the derivation of computable bounds on the residual norms of (full...
We study the convergence of GMRES [14] for linear algebraic systems with normal matrices. In particu...
This work concerns the solution of non-symmetric, sparse linear systems with multiple right hand sid...
In the present work, we propose a new projection method for solving the matrix equation AXB = F. For...
The convergence of GMRES for solving linear systems can be influenced heavily by the structure of th...
GMRES is an iterative method for solving linear systems that minimizes the residual over the k-dimen...
summary:In this paper, our attention is concentrated on the GMRES method for the solution of the sys...
AbstractIn the present paper, we give some new convergence results of the global GMRES method for mu...
AbstractIn the present paper, we give some convergence results of the global minimal residual method...
AbstractThe behavior of iterative methods of GMRES-type when applied to singular, possibly inconsist...
We consider the convergence of the algorithm GMRES of Saad and Schultz for solving linear equations ...
AbstractThis paper studies convergence properties of the block gmres algorithm when applied to nonsy...
We investigate the convergence of the weighted GMRES method for solving linear systems. Two differen...
The Generalized Minimal RESidual (gmres) method is a well-established strategy for iteratively solvi...
Eigenvalues with the eigenvector condition number, the field of values, and pseudospectra have all b...
The main purpose of this paper is the derivation of computable bounds on the residual norms of (full...
We study the convergence of GMRES [14] for linear algebraic systems with normal matrices. In particu...
This work concerns the solution of non-symmetric, sparse linear systems with multiple right hand sid...
In the present work, we propose a new projection method for solving the matrix equation AXB = F. For...
The convergence of GMRES for solving linear systems can be influenced heavily by the structure of th...
GMRES is an iterative method for solving linear systems that minimizes the residual over the k-dimen...
summary:In this paper, our attention is concentrated on the GMRES method for the solution of the sys...