Optimization with PDE Constraints

  • Michael Hinze
  • Rene Pinnau
  • Michael Ulbrich
  • Stefan Ulbrich

Part of the Mathematical Modelling: Theory and Applications book series (MMTA, volume 23)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Michael Ulbrich
    Pages 97-156
  3. René Pinnau
    Pages 233-263
  4. Back Matter
    Pages 265-270

About this book

Introduction

This book presents a modern introduction of pde constrained optimization. It provides a precise functional analytic treatment via optimality conditions and a state-of-the-art, non-smooth algorithmical framework. Furthermore, new structure-exploiting discrete concepts and large scale, practically relevant applications are presented. The main focus is on the algorithmical and numerical treatment of pde constrained optimization problems on the infinite dimensional level. A particular emphasis is on simple constraints, such as pointwise bounds on controls and states. For these practically important situations, tailored Newton- and SQP-type solution algorithms are proposed and a general convergence framework is developed. This is complemented with the numerical analysis of structure-preserving Galerkin schemes for optimization problems with elliptic and parabolic equations. Finally, along with the optimization of semiconductor devices and the optimization of glass cooling processes, two challenging applications of pde constrained optimization are presented. They demonstrate the scope of this emerging research field for future engineering applications.

Keywords

Applications Banach spaces Optimal control Optimality theory PDE constrained optimization Tailored discrete concepts numerical analysis

Authors and affiliations

  • Michael Hinze
    • 1
  • Rene Pinnau
    • 2
  • Michael Ulbrich
    • 3
  • Stefan Ulbrich
    • 4
  1. 1.Dept. MathematikUniversität HamburgHamburgGermany
  2. 2.FB MathematikTU KaiserslauternKaiserslautern Gebäude 48Germany
  3. 3.Lehrstuhl für Mathematische Optimierung, Fakultät für MathematikTechnische Universität MünchenGarchingGermany
  4. 4.Fachbereich Mathematik, AG10Technische Universität DarmstadtDarmstadtGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4020-8839-1
  • Copyright Information Springer Netherlands 2009
  • Publisher Name Springer, Dordrecht
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4020-8838-4
  • Online ISBN 978-1-4020-8839-1
  • Series Print ISSN 1386-2960
  • About this book
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