4.2 Article

CONVERGENCE AND REGULARIZATION RESULTS FOR OPTIMAL CONTROL PROBLEMS WITH SPARSITY FUNCTIONAL

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Publisher

CAMBRIDGE UNIV PRESS
DOI: 10.1051/cocv/2010027

Keywords

Non-smooth optimization; sparsity; regularization error estimates; finite elements; discretization error estimates

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Optimization problems with convex but non-smooth cost functional subject to an elliptic partial differential equation are considered. The non-smoothness arises from a L(1)-norm in the objective functional. The problem is regularized to permit the use of the semi-smooth Newton method. Error estimates with respect to the regularization parameter are provided. Moreover, finite element approximations are studied. A-priori as well as a-posteriori error estimates are developed and confirmed by numerical experiments.

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