This study aims to investigate the convergence behavior of the GMRES (Generalized Minimal Residual) method and its version GMRES(m), without and with preconditioner ILU(0) applied to sparse non-symmetric linear systems. Our main interest is to see if the behavior of these algorithms can be influenced by the structure of the matrices considered, in particular, the Z-matrices. Furthermore, the influence of the choice of the degree of sparsity. Among the observed parameters, we focus on the spectral radius of these matrices, as well as the relative residual norm obtained by these algorithms.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Este trabalho tem por objetivo investigar o comportamento de convergência do mét...
AbstractThere are verities of useful Krylov subspace methods to solve nonsymmetric linear system of ...
International audienceKrylov methods such as GMRES are efficient iterative methods to solve large sp...
In a wide range of applications, solving the linear system of equations Ax = b is appeared. One of t...
In this paper we compare two recently proposed methods, FGMRES [5] and GMRESR [7], for the iterative...
AbstractIn this paper we compare two recently proposed methods, FGMRES (Saad, 1993) and GMRESR (van ...
The Generalized Minimum Residual (GMRES) iterative method and variations of it are frequently used f...
The GMRES(m) method is often used to compute Krylov subspace solutions of large sparse linear system...
AbstractWZ-GMRES, ‘a simpler GMRES’ proposed by Walker and Zhou, is mathematically equivalent to the...
none2noThe Generalized Minimal RESidual (gmres) method is a well-established strategy for iterativel...
Existing convergence bounds for Krylov subspace methods such as GMRES for nonsymmetric linear system...
The GMRES method is one of the most useful methods for solving a system of linear algebraic equation...
New convergence bounds are presented for weighted, preconditioned, and deflated GMRES for the soluti...
We present an iterative method for solving linear systems, which has the property ofminimizing at ev...
We consider the solution of large and sparse linear systems of equations by GM-RES. Due to the appea...
The Generalized Minimal Residual method (GMRES) is often used to solve a non-symmetric linear system...
AbstractThere are verities of useful Krylov subspace methods to solve nonsymmetric linear system of ...
International audienceKrylov methods such as GMRES are efficient iterative methods to solve large sp...
In a wide range of applications, solving the linear system of equations Ax = b is appeared. One of t...
In this paper we compare two recently proposed methods, FGMRES [5] and GMRESR [7], for the iterative...
AbstractIn this paper we compare two recently proposed methods, FGMRES (Saad, 1993) and GMRESR (van ...
The Generalized Minimum Residual (GMRES) iterative method and variations of it are frequently used f...
The GMRES(m) method is often used to compute Krylov subspace solutions of large sparse linear system...
AbstractWZ-GMRES, ‘a simpler GMRES’ proposed by Walker and Zhou, is mathematically equivalent to the...
none2noThe Generalized Minimal RESidual (gmres) method is a well-established strategy for iterativel...
Existing convergence bounds for Krylov subspace methods such as GMRES for nonsymmetric linear system...
The GMRES method is one of the most useful methods for solving a system of linear algebraic equation...
New convergence bounds are presented for weighted, preconditioned, and deflated GMRES for the soluti...
We present an iterative method for solving linear systems, which has the property ofminimizing at ev...
We consider the solution of large and sparse linear systems of equations by GM-RES. Due to the appea...
The Generalized Minimal Residual method (GMRES) is often used to solve a non-symmetric linear system...
AbstractThere are verities of useful Krylov subspace methods to solve nonsymmetric linear system of ...
International audienceKrylov methods such as GMRES are efficient iterative methods to solve large sp...
In a wide range of applications, solving the linear system of equations Ax = b is appeared. One of t...