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Numerical solution of variational inequalities by adaptive finite elements /

Franz-Theo Suttmeier describes a general approach to a posteriori error estimation and adaptive mesh design for finite element models where the solution is subjected to inequality constraints. This is an extension to variational inequalities of the so-called Dual-Weighted-Residual method (DWR method...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Suttmeier, Franz-Theo
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Wiesbaden : Vieweg+Teubner Research, ©2008.
Edición:1st ed.
Colección:Wiley-Teubner series, advances in numerical mathematics.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:Franz-Theo Suttmeier describes a general approach to a posteriori error estimation and adaptive mesh design for finite element models where the solution is subjected to inequality constraints. This is an extension to variational inequalities of the so-called Dual-Weighted-Residual method (DWR method) which is based on a variational formulation of the problem and uses global duality arguments for deriving weighted a posteriori error estimates with respect to arbitrary functionals of the error. In these estimates local residuals of the computed solution are multiplied by sensitivity factors which are obtained from a numerically computed dual solution. The resulting local error indicators are used in a feed-back process for generating economical meshes which are tailored according to the particular goal of the computation. This method is developed here for several model problems. Based on these examples, a general concept is proposed, which provides a systematic way of adaptive error control for problems stated in form of variational inequalities.
Descripción Física:1 online resource (x, 161 pages) : illustrations (some color).
Público:Students and researchers from the field of numerical mathematics, and users of adaptive finite element techniques.
Bibliografía:Includes bibliographical references (pages 155-161).
ISBN:9783834895462
3834895466
3834806641
9783834806642