An adaptive Newton algorithm for optimal control problems with application to optimal electrode design
In this work, we present an adaptive Newton-type method to solve nonlinear constrained optimization problems, in which the constraint is a system of partial differential equations discretized by the finite element method. The adaptive strategy is based on a goal-oriented a posteriori error estimatio...
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| Main Authors: | , , , |
|---|---|
| Format: | Article (Journal) |
| Language: | English |
| Published: |
20 February 2018
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| In: |
Journal of optimization theory and applications
Year: 2018, Volume: 177, Issue: 2, Pages: 498-534 |
| ISSN: | 1573-2878 |
| DOI: | 10.1007/s10957-018-1242-4 |
| Online Access: | Resolving-System, Volltext: http://dx.doi.org/10.1007/s10957-018-1242-4 Verlag, Volltext: https://link.springer.com/article/10.1007/s10957-018-1242-4 |
| Author Notes: | Thomas Carraro, Simon Dörsam, Stefan Frei, Daniel Schwarz |
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An adaptive Newton algorithm for optimal control problems with application to optimal electrode design
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