Linearization of the non-linear systems arising from fully implicit schemes in computational fluid dynamics often result in a large sparse non-symmetric linear system. Practical experience shows that these linear systems are ill-conditioned if a higher than first order spatial discretization scheme is used. To solve these linear systems, an efficient multilevel iterative method, the a-GMRES method, is proposed which incorporates a diagonal preconditioning with a damping factor a so that a balanced fast convergence of the inner GMRES iteration and the outer damping loop can be achieved. With this simple and efficient preconditioning and damping of the matrix, the resulting method can be effectively parallelized. The paralleli...
The computational simulation of many engineering problems requires solving linear, sparse, systems o...
GMRES(k) is widely used for solving nonsymmetric linear systems. However, it is inadequate either wh...
In this work we introduce a new two-level preconditioner for the efficient solution of large-scale l...
Linearization of the non-linear systems arising from fully implicit schemes in computational fluid...
This paper studies a new preconditioning technique for sparse systems arising from discretized par-t...
This paper studies a new preconditioning technique for sparse systems arising from discretized parti...
This paper studies a new preconditioning technique for sparse systems arising from discretized parti...
We mainly examine the application of the improved version of the quasi-minimal residual (IQMR) metho...
AbstractThe Flexible Generalized Minimal Residual method (FGMRES) is an attractive iterative solver ...
AbstractA method for simultaneous solution of large and sparse linearized equation sets and the corr...
Two Newton-like methods, i.e. the sparse finite difference Newton method and the sparse quasi-Newton...
International audienceKrylov methods such as GMRES are efficient iterative methods to solve large sp...
The Flexible Generalized Minimal Residual method (FGMRES) is an attractive iterative solver for non-...
In this paper we compare two recently proposed methods, FGMRES [5] and GMRESR [7], for the iterative...
The recently developed Parallel Algebraic Recursive Multilevel Solver (pARMS) is the subject of this...
The computational simulation of many engineering problems requires solving linear, sparse, systems o...
GMRES(k) is widely used for solving nonsymmetric linear systems. However, it is inadequate either wh...
In this work we introduce a new two-level preconditioner for the efficient solution of large-scale l...
Linearization of the non-linear systems arising from fully implicit schemes in computational fluid...
This paper studies a new preconditioning technique for sparse systems arising from discretized par-t...
This paper studies a new preconditioning technique for sparse systems arising from discretized parti...
This paper studies a new preconditioning technique for sparse systems arising from discretized parti...
We mainly examine the application of the improved version of the quasi-minimal residual (IQMR) metho...
AbstractThe Flexible Generalized Minimal Residual method (FGMRES) is an attractive iterative solver ...
AbstractA method for simultaneous solution of large and sparse linearized equation sets and the corr...
Two Newton-like methods, i.e. the sparse finite difference Newton method and the sparse quasi-Newton...
International audienceKrylov methods such as GMRES are efficient iterative methods to solve large sp...
The Flexible Generalized Minimal Residual method (FGMRES) is an attractive iterative solver for non-...
In this paper we compare two recently proposed methods, FGMRES [5] and GMRESR [7], for the iterative...
The recently developed Parallel Algebraic Recursive Multilevel Solver (pARMS) is the subject of this...
The computational simulation of many engineering problems requires solving linear, sparse, systems o...
GMRES(k) is widely used for solving nonsymmetric linear systems. However, it is inadequate either wh...
In this work we introduce a new two-level preconditioner for the efficient solution of large-scale l...