Maximum–norm a posteriori error estimates for an optimal control problem
We analyze a reliable and efficient max-norm a posteriori error estimator for a control-constrained, linear–quadratic optimal control problem. The estimator yields optimal experimental rates of convergence within an adaptive loop. © 2019, Springer Science+Business Media, LLC, part of Springer Nature...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2019
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/56982/ |