Computational Optimization and Applications

, Volume 42, Issue 1, pp 43–66

A regularization method for the numerical solution of elliptic boundary control problems with pointwise state constraints

Article

DOI: 10.1007/s10589-007-9114-0

Cite this article as:
Tröltzsch, F. & Yousept, I. Comput Optim Appl (2009) 42: 43. doi:10.1007/s10589-007-9114-0
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Abstract

A Lavrentiev type regularization technique for solving elliptic boundary control problems with pointwise state constraints is considered. The main concept behind this regularization is to look for controls in the range of the adjoint control-to-state mapping. After investigating the analysis of the method, a semismooth Newton method based on the optimality conditions is presented. The theoretical results are confirmed by numerical tests. Moreover, they are validated by comparing the regularization technique with standard numerical codes based on the discretize-then-optimize concept.

Keywords

Boundary controlState constraintsLavrentiev type regularizationSemismooth Newton methodOptimize-then-discretizeNested iteration

Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  1. 1.Institut für MathematikTechnische Universität BerlinBerlinGermany