Get access

Combination preconditioning of saddle point systems for positive definiteness


Correspondence to: J. Pestana, Mathematical Institute, University of Oxford, 24-29 St Giles', Oxford, OX1 3LB, UK.



Amongst recent contributions to preconditioning methods for saddle point systems, standard iterative methods in nonstandard inner products have been usefully employed. Krzyżanowski (Numerical Linear Algebra with Applications 2011; 18:123–140) identified a two-parameter family of preconditioners in this context and Stoll and Wathen (SIAM Journal on Matrix Analysis and Applications 2008; 30:582–608) introduced combination preconditioning, where two preconditioners, self-adjoint with respect to different inner products, can lead to further preconditioners and associated bilinear forms or inner products. Preconditioners that render the preconditioned saddle point matrix nonsymmetric but self-adjoint with respect to a nonstandard inner product always allow a MINRES-type method (inline image-PMINRES) to be applied in the relevant inner product. If the preconditioned matrix is also positive definite with respect to the inner product, a more efficient CG-like method (inline image-PCG) can be reliably used. We establish eigenvalue expressions for Krzyżanowski preconditioners and show that for a specific choice of parameters, although the Krzyżanowski preconditioned saddle point matrix is self-adjoint with respect to an inner product, it is never positive definite. We provide explicit expressions for the combination of certain preconditioners and prove the rather counterintuitive result that the combination of two specific preconditioners for which only inline image-PMINRES can be reliably used leads to a preconditioner for which, for certain parameter choices, inline image-PCG is reliably applicable. That is, combining two indefinite preconditioners can lead to a positive definite preconditioner. This combination preconditioner outperforms either of the two preconditioners from which it is formed for a number of test problems. Copyright © 2012 John Wiley & Sons, Ltd.

Get access to the full text of this article