In most practical cases, the convergence of the GMRES method applied to a linear algebraic system Ax -- b is determined by the distribution of eigenvalues of A. In theory, however, the information about the eigenvalues alone is not sufficient for determining the convergence. In this paper the previous work of Greenbaum et al. is extended in the following direction. It is given a complete parametrization of the set of all pairs {A, b} for which GMRES(A, b) generates the prescribed convergence curve while the matrix A has the prescribed eigenvalues. Moreover, a characterization of the right hand sides b for which the GMRES(A, b) converges exactly in m steps, where m is the degree of the minimal polynomial of A, is given
The main purpose of this paper is the derivation of computable bounds on the residual norms of (full...
Abstract. There is a class of linear problems for which the computation of the matrix-vector product...
Abstract. There is a class of linear problems for which the computation of the matrix-vector product...
In most practical cases, the convergence of the GMRES method applied to a linear algebraic system Ax...
In most practical cases, the convergence of the GMRES method applied to a linear algebraic system Ax...
In most practical cases, the convergence of the GMRES method applied to a linear algebraic system Ax...
In most practical cases, the convergence of the GMRES method applied to a linear algebraic system Ax...
The text deals with the understanding of the convergence behaviour of the GMRES method. The first pa...
The presented thesis is focused on the GMRES convergence analysis. The basic principles of CG, MINRE...
Eigenvalues with the eigenvector condition number, the field of values, and pseudospectra have all b...
Consider solving a sequence of linear systems A_{(i)}x^{(i)}=b^{(i)}, i=1, 2, ... where A₍ᵢ₎ ϵℂⁿᵡⁿ ...
AbstractKrylov subspace methods have been recently considered to solve singular linear systems Ax=b....
The theory of the convergence of Krylov subspace iterations for linear systems of equations (conjuga...
There is a class of linear problems for which the computation of the matrix-vector product is very ...
AbstractIn the present paper, we give some convergence results of the global minimal residual method...
The main purpose of this paper is the derivation of computable bounds on the residual norms of (full...
Abstract. There is a class of linear problems for which the computation of the matrix-vector product...
Abstract. There is a class of linear problems for which the computation of the matrix-vector product...
In most practical cases, the convergence of the GMRES method applied to a linear algebraic system Ax...
In most practical cases, the convergence of the GMRES method applied to a linear algebraic system Ax...
In most practical cases, the convergence of the GMRES method applied to a linear algebraic system Ax...
In most practical cases, the convergence of the GMRES method applied to a linear algebraic system Ax...
The text deals with the understanding of the convergence behaviour of the GMRES method. The first pa...
The presented thesis is focused on the GMRES convergence analysis. The basic principles of CG, MINRE...
Eigenvalues with the eigenvector condition number, the field of values, and pseudospectra have all b...
Consider solving a sequence of linear systems A_{(i)}x^{(i)}=b^{(i)}, i=1, 2, ... where A₍ᵢ₎ ϵℂⁿᵡⁿ ...
AbstractKrylov subspace methods have been recently considered to solve singular linear systems Ax=b....
The theory of the convergence of Krylov subspace iterations for linear systems of equations (conjuga...
There is a class of linear problems for which the computation of the matrix-vector product is very ...
AbstractIn the present paper, we give some convergence results of the global minimal residual method...
The main purpose of this paper is the derivation of computable bounds on the residual norms of (full...
Abstract. There is a class of linear problems for which the computation of the matrix-vector product...
Abstract. There is a class of linear problems for which the computation of the matrix-vector product...