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2016.5: Refined saddle-point preconditioners for discretized Stokes problems

2016.5: John Pearson, Jennifer Pestana and David Silvester (2016) Refined saddle-point preconditioners for discretized Stokes problems.

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This paper is concerned with the implementation of efficient solution algorithms for elliptic problems with constraints. We establish theory that shows that including a simple scaling within well-established block diagonal preconditioners for Stokes problems can result in significantly faster convergence when applying the preconditioned MINRES method. The codes used in the numerical studies are available online.

Item Type:MIMS Preprint
Uncontrolled Keywords:Stokes equations, stabilization, saddle-point systems, preconditioning, inf-sup condition
Subjects:MSC 2000 > 65 Numerical analysis
MIMS number:2016.5
Deposited By:professor david silvester
Deposited On:26 January 2016

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