4 research outputs found

    A One Dimensional Elliptic Distributed Optimal Control Problem with Pointwise Derivative Constraints

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    We consider a one dimensional elliptic distributed optimal control problem with pointwise constraints on the derivative of the state. By exploiting the variational inequality satisfied by the derivative of the optimal state, we obtain higher regularity for the optimal state under appropriate assumptions on the data. We also solve the optimal control problem as a fourth order variational inequality by a C1C^1 finite element method, and present the error analysis together with numerical results

    Finite Element Methods for One Dimensional Elliptic Distributed Optimal Control Problems with Pointwise Constraints on the Derivative of the State

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    We investigate C1C^1 finite element methods for one dimensional elliptic distributed optimal control problems with pointwise constraints on the derivative of the state formulated as fourth order variational inequalities for the state variable. For the problem with Dirichlet boundary conditions, we use an existing H52ϵH^{\frac52-\epsilon} regularity result for the optimal state to derive O(h12ϵ)O(h^{\frac12-\epsilon}) convergence for the approximation of the optimal state in the H2H^2 norm. For the problem with mixed Dirichlet and Neumann boundary conditions, we show that the optimal state belongs to H3H^3 under appropriate assumptions on the data and obtain O(h)O(h) convergence for the approximation of the optimal state in the H2H^2 norm

    P 1 finite element methods for an elliptic optimal control problem with pointwise state constraints

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    We present theoretical and numerical results for two P finite element methods for an elliptic distributed optimal control problem on general polygonal/polyhedral domains with pointwise state constraints.
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