In this article a new family of preconditioners is introduced for symmetric positive definite linear systems. The new preconditioners, called the AWG preconditioners (for Algebraic- Woodbury-GenEO) are constructed algebraically. By this, we mean that only the knowledge of the matrix A for which the linear system is being solved is required. Thanks to the GenEO spectral coarse space technique, the condition number of the preconditioned operator is bounded theoretically from above. This upper bound can be made smaller by enriching the coarse space with more spectral modes.The novelty is that, unlike in previous work on the GenEO coarse spaces, no knowledge of a partially non-assembled form of A is required. Indeed, the spectral coarse space t...
We propose a class of preconditioners for large positive definite linear systems, arising in nonline...
We present a preconditioning method for the iterative solution of large sparse systems of equations....
The numerical simulations of real-world engineering problems create models with several millions or ...
In this article a new family of preconditioners is introduced for symmetric positive definite linear...
International audienceA new domain decomposition preconditioner is introduced for efficiently solvin...
International audienceIn this paper we present a class of robust and fully algebraic two-level preco...
We propose a class of preconditioners for large positive definite linear systems, arising in nonlin...
International audienceIn this paper we present a class of robust and fully algebraic two-level preco...
In this paper we present a class of robust and fully algebraic two-level preconditionersfor SPD matr...
It is well known that the convergence of the conjugate gradient method for solving symmetric positiv...
For various applications, it is well-known that a multi-level, in particular two-level, precondition...
We propose a class of preconditioners for symmetric linear systems arising from numerical analysis a...
International audienceWe investigate two-level preconditioners on the extended linear system arising...
A new class of preconditioners for the iterative solution of the linear systems arising from interio...
We consider the solution of sequences of linear systems A(i)x = b(i), i = 1,..., where A(i) ∈ Rn×n ...
We propose a class of preconditioners for large positive definite linear systems, arising in nonline...
We present a preconditioning method for the iterative solution of large sparse systems of equations....
The numerical simulations of real-world engineering problems create models with several millions or ...
In this article a new family of preconditioners is introduced for symmetric positive definite linear...
International audienceA new domain decomposition preconditioner is introduced for efficiently solvin...
International audienceIn this paper we present a class of robust and fully algebraic two-level preco...
We propose a class of preconditioners for large positive definite linear systems, arising in nonlin...
International audienceIn this paper we present a class of robust and fully algebraic two-level preco...
In this paper we present a class of robust and fully algebraic two-level preconditionersfor SPD matr...
It is well known that the convergence of the conjugate gradient method for solving symmetric positiv...
For various applications, it is well-known that a multi-level, in particular two-level, precondition...
We propose a class of preconditioners for symmetric linear systems arising from numerical analysis a...
International audienceWe investigate two-level preconditioners on the extended linear system arising...
A new class of preconditioners for the iterative solution of the linear systems arising from interio...
We consider the solution of sequences of linear systems A(i)x = b(i), i = 1,..., where A(i) ∈ Rn×n ...
We propose a class of preconditioners for large positive definite linear systems, arising in nonline...
We present a preconditioning method for the iterative solution of large sparse systems of equations....
The numerical simulations of real-world engineering problems create models with several millions or ...