Maximum–norm a posteriori error estimates for an optimal control problem

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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...

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Bibliographic Details
Main Authors:	Otárola, Enrique, Rankin, Richard, Salgado, Abner J.
Format:	Article
Language:	English
Published:	Springer 2019
Subjects:	Linear–quadratic optimal control problem; Finite element methods; A posteriori error analysis; Maximum–norm
Online Access:	https://eprints.nottingham.ac.uk/56982/

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