Trends in PDE Constrained Optimization

Optimization problems subject to constraints governed by partial differential equations (PDEs) are among the most challenging problems in the context of industrial, economical and medical applications. Almost the entire range of problems in this field of research was studied and further explored as part of the Deutsche Forschungsgemeinschaft (DFG) priority program 1253 on Optimization with Partial Differential Equations from 2006 to 2013. The investigations were motivated by the fascinating potential applications and challenging mathematical problems that arise in the field of PDE constrained optimization. New analytic and algorithmic paradigms have been developed, implemented and validated in the context of real-world applications. In this special volume, contributions from more than fifteen German universities combine the results of this interdisciplinary program with a focus on applied mathematics. The book is divided into five sections on Constrained Optimization, Identification and Control, Shape and Topology Optimization, Adaptivity and Model Reduction, Discretization: Concepts and Analysis and Applications. Peer-reviewed research articles present the most recent results in the field of PDE constrained optimization and control problems. Informative survey articles give an overview of topics that set sustainable trends for future research. This makes this special volume interesting not only for mathematicians, but also for engineers and for natural and medical scientists working on processes that can be modeled by PDEs.

Covers almost the entire range of research questions in PDE constrained optimization and optimal control Presents new analytic and algorithmic paradigms developed context for real-world applications Features topics that set sustainable trends for future research Addresses mathematicians, engineers, natural and medical scientists

Autorentext
Stefan Ulbrich ist Professor für Nichtlineare Optimierung an der Technischen Universität Darmstadt.

Inhalt
Introduction.- Part I: Constrained Optimization, Identification and Control.- Part II: Shape and Topology Optimization.- Part III: Adaptivity and Model Reduction.- Part IV: Discretization: Concepts and Analysis.- Part V: Applications.