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Stable Multiscale Discretizations for Saddle Point Problems and Preconditioning

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

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  • Freie Universität Berlin (FU Berlin)

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OriginalspracheEnglisch
Seiten (von - bis)789-806
Seitenumfang18
FachzeitschriftNumerical Functional Analysis and Optimization
Jahrgang19
Ausgabenummer7-8
PublikationsstatusVeröffentlicht - 1998

Abstract

Stability for discretizations of saddle point problems is typically the result of satisfying the discrete Babuška-Brezzi condition. As a consequence a number of natural discretizations are ruled out and some effort is required to provide stable ones. Therefore ideas for circumventing the Babuška-Brezzi condition are interesting. Here an ansatz presented in a series of papers by Hughes et al. is described and investigated in the framework of multiscale discretizations. In particular discretizations for appending boundary conditions by Lagrange multipliers and the stationary Stokes problem are considered. Sufficient conditions for their stability are given and diagonal preconditioners which give uniformly bounded condition numbers are proposed.

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Stable Multiscale Discretizations for Saddle Point Problems and Preconditioning. / Hochmuth, Reinhard.
in: Numerical Functional Analysis and Optimization, Jahrgang 19, Nr. 7-8, 1998, S. 789-806.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

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