International audienceA new domain decomposition preconditioner is introduced for efficiently solving linear systems Ax = b with a symmetric positive definite matrix A. The particularity of the new preconditioner is that it is not necessary to have access to the so-called Neumann matrices (i.e.: the matrices that result from assembling the variational problem underlying A restricted to each subdomain). All the components in the preconditioner can be computed with the knowledge only of A (and this is the meaning given here to the word algebraic). The new preconditioner relies on the GenEO coarse space for a matrix that is a low-rank modification of A and on the Woodbury matrix identity. The idea underlying the new preconditioner is introduce...
We present a preconditioning method for the iterative solution of large sparse systems of equations....
Abstract. This paper numerically compares different algebraic multilevel preconditioners to solve sy...
AbstractA method to construct preconditioners to a symmetric, positive definite matrix based on part...
International audienceA new domain decomposition preconditioner is introduced for efficiently solvin...
In this article a new family of preconditioners is introduced for symmetric positive definite linear...
International audienceIn this paper we present a class of robust and fully algebraic two-level preco...
Abstract: In the paper we consider the iterative solution of linear systemby the conjugate...
We describe a novel technique for computing a sparse incomplete factorization of a general symmetric...
This work studies limited memory preconditioners for linear symmetric positive definite systems of e...
In this paper, first, by using the diagonally compensated reduction and incomplete Cholesky factoriz...
3siIn this paper, preconditioners for the conjugate gradient method are studied to solve the Newton ...
A novel parallel preconditioner for symmetric positive definite matrices is developed coupling a gen...
We propose a class of preconditioners for large positive definite linear systems, arising in nonlin...
AbstractThe main idea of the “black box” approach in exact linear algebra is to reduce matrix proble...
The main idea of the “black box ” approach in exact linear algebra is to reduce matrix problems to t...
We present a preconditioning method for the iterative solution of large sparse systems of equations....
Abstract. This paper numerically compares different algebraic multilevel preconditioners to solve sy...
AbstractA method to construct preconditioners to a symmetric, positive definite matrix based on part...
International audienceA new domain decomposition preconditioner is introduced for efficiently solvin...
In this article a new family of preconditioners is introduced for symmetric positive definite linear...
International audienceIn this paper we present a class of robust and fully algebraic two-level preco...
Abstract: In the paper we consider the iterative solution of linear systemby the conjugate...
We describe a novel technique for computing a sparse incomplete factorization of a general symmetric...
This work studies limited memory preconditioners for linear symmetric positive definite systems of e...
In this paper, first, by using the diagonally compensated reduction and incomplete Cholesky factoriz...
3siIn this paper, preconditioners for the conjugate gradient method are studied to solve the Newton ...
A novel parallel preconditioner for symmetric positive definite matrices is developed coupling a gen...
We propose a class of preconditioners for large positive definite linear systems, arising in nonlin...
AbstractThe main idea of the “black box” approach in exact linear algebra is to reduce matrix proble...
The main idea of the “black box ” approach in exact linear algebra is to reduce matrix problems to t...
We present a preconditioning method for the iterative solution of large sparse systems of equations....
Abstract. This paper numerically compares different algebraic multilevel preconditioners to solve sy...
AbstractA method to construct preconditioners to a symmetric, positive definite matrix based on part...