Abstract
We investigate adaptive methods for optimal control problems with finitely many control parameters. We analyze a-posteriori error estimates based on verification of second-order sufficient optimality conditions. Reliability and efficiency of the error estimator is shown. The estimator is used in numerical tests to guide adaptive mesh refinement.
This work was funded by Austrian Science Fund (FWF) grant P21564-N18.
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Akindeinde, S., Wachsmuth, D. (2013). Adaptive Methods for Control Problems with Finite-Dimensional Control Space. In: Hömberg, D., Tröltzsch, F. (eds) System Modeling and Optimization. CSMO 2011. IFIP Advances in Information and Communication Technology, vol 391. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36062-6_6
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DOI: https://doi.org/10.1007/978-3-642-36062-6_6
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