EconPapers    
Economics at your fingertips  
 

A Collocation Method for Quadratic Control Problems Governed by Ordinary Elliptic Differential Equations

W. Alt (), N. Bräutigam () and D. Karolewski
Additional contact information
W. Alt: Friedrich-Schiller-Universität Jena, Institut für Angewandte Mathematik
N. Bräutigam: Friedrich-Alexander-Universität Erlangen-Nürnberg, Institut für Angewandte Mathematik
D. Karolewski: Friedrich-Schiller-Universität Jena, Institut für Angewandte Mathematik

A chapter in Numerical Mathematics and Advanced Applications, 2008, pp 745-752 from Springer

Abstract: Abstract We investigate discretizations for a class of quadratic optimal control problems governed by one-dimensional elliptic differential equations. In contrast to the papers [3] dealing with finite element approximations and [2, 1] dealing with finite difference approximation, the dicretizations considered here are based on a collocation method using quadratic splines for the state equation. Under the assumption that the optimal control has bounded variation we prove discrete and continuous quadratic convergence of approximating controls.

Keywords: Control Problem; Optimal Control Problem; Collocation Method; Element Approximation; Discrete Control (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-69777-0_89

Ordering information: This item can be ordered from
http://www.springer.com/9783540697770

DOI: 10.1007/978-3-540-69777-0_89

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-06-26
Handle: RePEc:spr:sprchp:978-3-540-69777-0_89