Abstract
We consider the iterative solution of a class of linear systems with double saddle point structure. Several block preconditioners for Krylov subspace methods are described and analyzed. We derive some bounds for the eigenvalues of preconditioned matrices and present results of numerical experiments using test problems from two different applications: the potential fluid flow problem and the modeling of liquid crystals directors.
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