Abstract. Consideration of an abstract improvement algorithm leads to the following principle, which is similar to that underlying iterative refinement: By making judicious use of relatively few high accuracy computations, high accuracy solutions can be obtained very efficiently by the algorithm. This principle is applied specifically to GMRES(m) here; it can be similarly applied to a number of other "restarted " iterative linear methods as well. Results are given for numerical experiments in solving a discretized linear elliptic boundary value problem and in computing a step of an inexact Newton method using finite differences for a discretized nonlinear elliptic boundary value problem
This thesis is concerned with the solution of large systems of linear algebraic equations in which t...
The GMRES method is an iterative method that provides better solutions when dealing with large linea...
The GMRES method is an iterative method that provides better solutions when dealing with large linea...
summary:In this paper, our attention is concentrated on the GMRES method for the solution of the sys...
The increasing gap between processor performance and memory access time warrants the re-examination ...
Abstract. Hybrid GMRES algorithms are effective for solving large nonsymmetric linear systems. GMRES...
summary:In this paper, our attention is concentrated on the GMRES method for the solution of the sys...
We consider the solution of a linear system of equations using the GMRES iterative method. In [3], a...
summary:In this paper, our attention is concentrated on the GMRES method for the solution of the sys...
In this paper, we consider both local and global convergence of the Newton algorithm to solve nonlin...
In this paper, we consider both local and global convergence of the Newton algorithm to solve nonlin...
GMRES(k) is widely used for solving nonsymmetric linear systems. However, it is inadequate either w...
The GMRES method is an iterative method that provides better solutions when dealing with large linea...
The GMRES method is an iterative method that provides better solutions when dealing with large linea...
The GMRES method is an iterative method that provides better solutions when dealing with large linea...
This thesis is concerned with the solution of large systems of linear algebraic equations in which t...
The GMRES method is an iterative method that provides better solutions when dealing with large linea...
The GMRES method is an iterative method that provides better solutions when dealing with large linea...
summary:In this paper, our attention is concentrated on the GMRES method for the solution of the sys...
The increasing gap between processor performance and memory access time warrants the re-examination ...
Abstract. Hybrid GMRES algorithms are effective for solving large nonsymmetric linear systems. GMRES...
summary:In this paper, our attention is concentrated on the GMRES method for the solution of the sys...
We consider the solution of a linear system of equations using the GMRES iterative method. In [3], a...
summary:In this paper, our attention is concentrated on the GMRES method for the solution of the sys...
In this paper, we consider both local and global convergence of the Newton algorithm to solve nonlin...
In this paper, we consider both local and global convergence of the Newton algorithm to solve nonlin...
GMRES(k) is widely used for solving nonsymmetric linear systems. However, it is inadequate either w...
The GMRES method is an iterative method that provides better solutions when dealing with large linea...
The GMRES method is an iterative method that provides better solutions when dealing with large linea...
The GMRES method is an iterative method that provides better solutions when dealing with large linea...
This thesis is concerned with the solution of large systems of linear algebraic equations in which t...
The GMRES method is an iterative method that provides better solutions when dealing with large linea...
The GMRES method is an iterative method that provides better solutions when dealing with large linea...