Optimization with PDE Constraints
β Scribed by Michael Hinze, Rene Pinnau, Michael Ulbrich, Stefan Ulbrich (auth.)
- Publisher
- Springer Netherlands
- Year
- 2009
- Tongue
- English
- Leaves
- 278
- Series
- Mathematical Modelling: Theory and Applications 23
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
β¦ Table of Contents
Front Matter....Pages i-xi
Analytical Background and Optimality Theory....Pages 1-95
Optimization Methods in Banach Spaces....Pages 97-156
Discrete Concepts in PDE Constrained Optimization....Pages 157-232
Applications....Pages 233-263
Back Matter....Pages 265-270
β¦ Subjects
Calculus of Variations and Optimal Control; Optimization; Numerical Analysis
π SIMILAR VOLUMES
<p>Many mathematical models of physical, biological and social systems involve partial differential equations (PDEs). The desire to understand and influence these systems naturally leads to considering problems of control and optimization. This book presents important topics in the areas of control
Many mathematical models of physical, biological and social systems involve partial differential equations (PDEs). The desire to understand and influence these systems naturally leads to considering problems of control and optimization. This book presents important topics in the areas of control of
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 rel
<p>This book introduces, in an accessible way, the basic elements of Numerical PDE-Constrained Optimization, from the derivation of optimality conditions to the design of solution algorithms. Numerical optimization methods in function-spaces and their application to PDE-constrained problems are care