Title
Combination preconditioning of saddle point systems for positive definiteness.
Abstract
Amongst recent contributions to preconditioning methods for saddle point systems, standard iterative methods in nonstandard inner products have been usefully employed. Krzyzanowski (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 (W-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 (W-PCG) can be reliably used. We establish eigenvalue expressions for Krzyzanowski preconditioners and show that for a specific choice of parameters, although the Krzyzanowski 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 W-PMINRES can be reliably used leads to a preconditioner for which, for certain parameter choices, W-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 (C) 2012 John Wiley & Sons, Ltd.
Year
DOI
Venue
2013
10.1002/nla.1843
NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS
Keywords
Field
DocType
iterative solvers,nonstandard inner products,preconditioning,saddle point problems
Linear algebra,Mathematical optimization,Saddle point,Bilinear form,Preconditioner,Matrix (mathematics),Mathematical analysis,Positive-definite matrix,Positive definiteness,Mathematics,Eigenvalues and eigenvectors
Journal
Volume
Issue
ISSN
20.0
5.0
1070-5325
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Jennifer Pestana1379.93
Andrew J. Wathen200.34