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Discrete Concepts in PDE Constrained Optimization

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

Abstract

In the present chapter we give an introduction to discrete concepts for optimization problems with PDE constraints. As models for the state we consider elliptic and parabolic PDEs which are well understood from the analytical point of view. This allows to focus on structural aspects in discretization. We discuss and compare the approaches First discretize, then optimize and First optimize, then discretize, and introduce a variational discrete concept which avoids explicit discretization of the controls. We investigate problems with general constraints on the control, and also consider pointwise bounds on the state, and on the gradient of the state. We present error analysis for the variational discrete concept and accomplish our analytical findings with numerical examples which confirm our analytical results.

Keywords

Variational Inequality Optimal Control Problem State Constraint Piecewise Linear Element Approximation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science + Business Media B.V. 2009

Authors and Affiliations

  1. 1.Department MathematikUniversität HamburgHamburgGermany

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