In this thesis, elliptic and parabolic optimal control problems with pointwise state constraints are considered. The latter cause a reduced regularity of the optimal solution and a lower order of convergence of the numerical approximation. In order to calculate the approximative solution an active set strategy can be utilized. As an alternative, by including a barrier term in the cost functional a regularized problem can be set up, which is then solved using an interior point method. In order to establish an adaptive discretization the error in the cost functional is estimated by the DWR concept. The contributions, present according to the choice of the method, are utilized in an error equilibration algorithm and in the local grid refinement. The goal of the overall procedure is an improvement of the convergence speed. The derived approximation methods are applied to problems of the optimal hydration of young concrete.
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In this thesis, elliptic and parabolic optimal control problems with pointwise state constraints are considered. The latter cause a reduced regularity of the optimal solution and a lower order of convergence of the numerical approximation. In order to calculate the approximative solution an active set strategy can be utilized. As an alternative, by including a barrier term in the cost functional a regularized problem can be set up, which is then solved using an interior point method. In order to...
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