In this paper we consider the solution of linear systems of saddle point type by preconditioned Krylov subspace methods. A preconditioning strategy based on the symmetric/ skew-symmetric splitting of the coefficient matrix is proposed, and some useful properties of the preconditioned matrix are established. The potential of this approach is illustrated by numerical experiments with matrices from various application areas.

A preconditioner for generalized saddle point problems

Benzi, Michele;
2005

Abstract

In this paper we consider the solution of linear systems of saddle point type by preconditioned Krylov subspace methods. A preconditioning strategy based on the symmetric/ skew-symmetric splitting of the coefficient matrix is proposed, and some useful properties of the preconditioned matrix are established. The potential of this approach is illustrated by numerical experiments with matrices from various application areas.
2005
Iterative methods; Matrix splittings; Preconditioning; Saddle point problems; Analysis
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11384/75237
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