Refined saddle-point preconditioners for discretized Stokes problems

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Abstract

This paper is concerned with the implementation of efficient solution algorithms for elliptic problems with constraints. We establish theory which 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.

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Pearson, J. W., Pestana, J., & Silvester, D. J. (2018). Refined saddle-point preconditioners for discretized Stokes problems. Numerische Mathematik, 138(2), 331–363. https://doi.org/10.1007/s00211-017-0908-4

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