Adaptive variational discretization approximation method for parabolic optimal control problems
Abstract In this paper, we study variational discretization method for parabolic optimization problems. Firstly, we obtain some convergence and superconvergence analysis results of the approximation scheme. Secondly, we derive a posteriori error estimates of the approximation solutions. Finally, we...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2020-11-01
|
Series: | Journal of Inequalities and Applications |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13660-020-02506-6 |
id |
doaj-574fbfd4650349de9d9a03f7c1814208 |
---|---|
record_format |
Article |
spelling |
doaj-574fbfd4650349de9d9a03f7c18142082020-11-25T04:05:59ZengSpringerOpenJournal of Inequalities and Applications1029-242X2020-11-012020111410.1186/s13660-020-02506-6Adaptive variational discretization approximation method for parabolic optimal control problemsYuelong Tang0Yuchun Hua1Institute of Computational Mathematics, College of Science, Hunan University of Science and EngineeringCollege of Science, Hunan University of Science and EngineeringAbstract In this paper, we study variational discretization method for parabolic optimization problems. Firstly, we obtain some convergence and superconvergence analysis results of the approximation scheme. Secondly, we derive a posteriori error estimates of the approximation solutions. Finally, we present variational discretization approximation algorithm and adaptive variational discretization approximation algorithm for parabolic optimization problems and do some numerical experiments to confirm our theoretical results.http://link.springer.com/article/10.1186/s13660-020-02506-6AdaptiveVariational discretization approximationParabolic optimization problems |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yuelong Tang Yuchun Hua |
spellingShingle |
Yuelong Tang Yuchun Hua Adaptive variational discretization approximation method for parabolic optimal control problems Journal of Inequalities and Applications Adaptive Variational discretization approximation Parabolic optimization problems |
author_facet |
Yuelong Tang Yuchun Hua |
author_sort |
Yuelong Tang |
title |
Adaptive variational discretization approximation method for parabolic optimal control problems |
title_short |
Adaptive variational discretization approximation method for parabolic optimal control problems |
title_full |
Adaptive variational discretization approximation method for parabolic optimal control problems |
title_fullStr |
Adaptive variational discretization approximation method for parabolic optimal control problems |
title_full_unstemmed |
Adaptive variational discretization approximation method for parabolic optimal control problems |
title_sort |
adaptive variational discretization approximation method for parabolic optimal control problems |
publisher |
SpringerOpen |
series |
Journal of Inequalities and Applications |
issn |
1029-242X |
publishDate |
2020-11-01 |
description |
Abstract In this paper, we study variational discretization method for parabolic optimization problems. Firstly, we obtain some convergence and superconvergence analysis results of the approximation scheme. Secondly, we derive a posteriori error estimates of the approximation solutions. Finally, we present variational discretization approximation algorithm and adaptive variational discretization approximation algorithm for parabolic optimization problems and do some numerical experiments to confirm our theoretical results. |
topic |
Adaptive Variational discretization approximation Parabolic optimization problems |
url |
http://link.springer.com/article/10.1186/s13660-020-02506-6 |
work_keys_str_mv |
AT yuelongtang adaptivevariationaldiscretizationapproximationmethodforparabolicoptimalcontrolproblems AT yuchunhua adaptivevariationaldiscretizationapproximationmethodforparabolicoptimalcontrolproblems |
_version_ |
1724433055480807424 |