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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2009 Springer Science + Business Media B.V.
About this chapter
Cite this chapter
Hinze, M. (2009). Discrete Concepts in PDE Constrained Optimization. In: Optimization with PDE Constraints. Mathematical Modelling: Theory and Applications, vol 23. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8839-1_3
Download citation
DOI: https://doi.org/10.1007/978-1-4020-8839-1_3
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-8838-4
Online ISBN: 978-1-4020-8839-1
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)