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|a 9783834895462
|9 978-3-8348-9546-2
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|a 10.1007/978-3-8348-9546-2
|2 doi
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|a 518
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|a Suttmeier, Franz-Theo.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Numerical solution of Variational Inequalities by Adaptive Finite Elements
|h [electronic resource] /
|c by Franz-Theo Suttmeier.
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|a 1st ed. 2008.
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|a Wiesbaden :
|b Vieweg+Teubner Verlag :
|b Imprint: Vieweg+Teubner Verlag,
|c 2008.
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|a X, 161 p.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
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|a Advances in Numerical Mathematics
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|a Models in elasto-plasticity -- The dual-weighted-residual method -- Extensions to stabilised schemes -- Obstacle problem -- Signorini's problem -- Strang's problem -- General concept -- Lagrangian formalism -- Obstacle problem revisited -- Variational inequalities of second kind -- Time-dependent problems -- Applications -- Iterative Algorithms -- Conclusion.
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|a 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.
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|a Numerical analysis.
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|a Mathematics.
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|a Numerical Analysis.
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|a Mathematics.
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783834806642
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|a Advances in Numerical Mathematics
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|u https://doi.uam.elogim.com/10.1007/978-3-8348-9546-2
|z Texto Completo
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|a ZDB-2-SMA
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|a ZDB-2-SXMS
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|a Mathematics and Statistics (SpringerNature-11649)
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|a Mathematics and Statistics (R0) (SpringerNature-43713)
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