Convergence analysis of smoothing methods for optimal control of stationary variational inequalities with control constraints
Schiela, Anton ; Wachsmuth, Daniel
ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique, Tome 47 (2013), p. 771-787 / Harvested from Numdam

In the article an optimal control problem subject to a stationary variational inequality is investigated. The optimal control problem is complemented with pointwise control constraints. The convergence of a smoothing scheme is analyzed. There, the variational inequality is replaced by a semilinear elliptic equation. It is shown that solutions of the regularized optimal control problem converge to solutions of the original one. Passing to the limit in the optimality system of the regularized problem allows to prove C-stationarity of local solutions of the original problem. Moreover, convergence rates with respect to the regularization parameter for the error in the control are obtained, which turn out to be sharp. These rates coincide with rates obtained by numerical experiments, which are included in the paper.

Publié le : 2013-01-01
DOI : https://doi.org/10.1051/m2an/2012049
Classification:  49K20,  65K15,  49M20,  90C33
@article{M2AN_2013__47_3_771_0,
     author = {Schiela, Anton and Wachsmuth, Daniel},
     title = {Convergence analysis of smoothing methods for optimal control of stationary variational inequalities with control constraints},
     journal = {ESAIM: Mathematical Modelling and Numerical Analysis - Mod\'elisation Math\'ematique et Analyse Num\'erique},
     volume = {47},
     year = {2013},
     pages = {771-787},
     doi = {10.1051/m2an/2012049},
     mrnumber = {3056408},
     zbl = {1266.65112},
     language = {en},
     url = {http://dml.mathdoc.fr/item/M2AN_2013__47_3_771_0}
}
Schiela, Anton; Wachsmuth, Daniel. Convergence analysis of smoothing methods for optimal control of stationary variational inequalities with control constraints. ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique, Tome 47 (2013) pp. 771-787. doi : 10.1051/m2an/2012049. http://gdmltest.u-ga.fr/item/M2AN_2013__47_3_771_0/

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