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Автор Dahlke, Stephan
Автор Hochmuth, Reinhard
Автор Urban, Karsten
Дата выпуска 2000
dc.description Recently, adaptive wavelet strategies for symmetric, positive definite operators have been introduced that were proven to converge. This paper is devoted to the generalization to saddle point problems which are also symmetric, but indefinite. Firstly, we investigate a posteriori error estimates and generalize the known adaptive wavelet strategy to saddle point problems. The convergence of this strategy for elliptic operators essentially relies on the positive definite character of the operator. As an alternative, we introduce an adaptive variant of Uzawa's algorithm and prove its convergence. Secondly, we derive explicit criteria for adaptively refined wavelet spaces in order to fulfill the Ladyshenskaja-Babuška-Brezzi (LBB) condition and to be fully equilibrated.
Формат application.pdf
Издатель EDP Sciences
Копирайт © EDP Sciences, SMAI, 2000
Тема Adaptive schemes
Тема aposteriori error estimates
Тема multiscale methods
Тема wavelets
Тема saddle point problems
Тема Uzawa's algorithm.
Название Adaptive wavelet methods for saddle point problems
Тип research-article
DOI 10.1051/m2an:2000113
Electronic ISSN 1290-3841
Print ISSN 0764-583X
Журнал ESAIM: Mathematical Modelling and Numerical Analysis
Том 34
Первая страница 1003
Последняя страница 1022
Аффилиация Dahlke Stephan; RWTH Aachen, Institut für Geometrie und Praktische Mathematik, Templergraben 55, 52056 Aachen, Germany. (dahlke@igpm.rwth-aachen.de)
Аффилиация Hochmuth Reinhard; FU Berlin, FB Mathematik, Arnimallee 2-6, 14195 Berlin, Germany. (hochmuth@math.fu-berlin.de)
Аффилиация Urban Karsten; RWTH Aachen, Institut für Geometrie und Praktische Mathematik, Templergraben 55, 52056 Aachen, Germany. (urban@igpm.rwth-aachen.de)
Выпуск 5

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