Oberwolfach Reports


Full-Text PDF (2145 KB) | Introduction as PDF | Metadata | Table of Contents | OWR summary
Volume 6, Issue 1, 2009, pp. 191–284
DOI: 10.4171/OWR/2009/04

Published online: 2009-12-23

Numerical Techniques for Optimization Problems with PDE Constraints

Matthias Heinkenschloss[1], Ronald H.W. Hoppe[2] and Volker Schulz[3]

(1) Rice University, Houston, United States
(2) Universität Augsburg, Germany
(3) Universität Trier, Germany

The development, analysis and implementation of efficient and robust numerical techniques for optimization problems associated with partial differential equations (PDEs) is of utmost importance for the optimal control of processes and the optimal design of structures and systems in modern technology. The successful realization of such techniques invokes a wide variety of challenging mathematical tasks and thus requires the application of adequate methodologies from various mathematical disciplines. During recent years, significant progress has been made in PDE constrained optimization both concerning optimization in function space according to the paradigm ’Optimize first, then discretize’ and with regard to the fast and reliable solution of the large-scale problems that typically arise from discretizations of the optimality conditions. The contributions at this Oberwolfach workshop impressively reflected the progress made in the field. In particular, new insights have been gained in the analysis of optimal control problems for PDEs that have led to vastly improved numerical solution methods. Likewise, breakthroughs have been made in the optimal design of structures and systems, for instance, by the socalled ’all-at-once’ approach featuring simultaneous optimization and solution of the underlying PDEs. Finally, new methodologies have been developed for the design of innovative materials and the identification of parameters in multi-scale physical and physiological processes.

No keywords available for this article.

Heinkenschloss Matthias, Hoppe Ronald, Schulz Volker: Numerical Techniques for Optimization Problems with PDE Constraints. Oberwolfach Rep. 6 (2009), 191-284. doi: 10.4171/OWR/2009/04