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.
Iterative methods for double saddle point systems
Benzi, Michele
2018
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.File in questo prodotto:
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