Randomized trial investigates eigenvalue distribution in double saddle-point systems, suggesting improved numerical stability.
We consider block preconditioners for double saddle-point systems and investigate the effect of approximating the nested Schur complement associated with the trailing diagonal block on the eigenvalue distribution of the preconditioned matrix. We develop a variant of Elman’s BFBt method and adapt it to this family of linear systems. Our findings are illustrated on a Marker-and-Cell discretization of the Stokes–Darcy equations.
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Chen Greif (2025) studied this question.
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