Weak-Duality Based Adaptive Finite Element Methods for PDE-Constrained Optimization with Pointwise Gradient State-Constraints

Year:    2012

Author:    M. Hintermüller, Michael Hinze, Ronald H.W. Hoppe

Journal of Computational Mathematics, Vol. 30 (2012), Iss. 2 : pp. 101–123

Abstract

Adaptive finite element methods for optimization problems for second order linear elliptic partial differential equations subject to pointwise constraints on the $\mathcal{ℓ}^2$-norm of the gradient of the state are considered. In a weak duality setting, i.e. without assuming a constraint qualification such as the existence of a Slater point, residual based a posteriori error estimators are derived. To overcome the lack in constraint qualification on the continuous level, the weak Fenchel dual is utilized. Several numerical tests illustrate the performance of the proposed error estimators.

Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/jcm.1109-m3522

Journal of Computational Mathematics, Vol. 30 (2012), Iss. 2 : pp. 101–123

Published online:    2012-01

AMS Subject Headings:   

Copyright:    COPYRIGHT: © Global Science Press

Pages:    23

Keywords:    Adaptive finite element method A posteriori errors Dualization Low regularity Pointwise gradient constraints State constraints Weak solutions.

Author Details

M. Hintermüller

Michael Hinze

Ronald H.W. Hoppe

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