Goal Oriented Time Adaptivity Using Local Error Estimates
(2020) In Algorithms 13.5(113).- Abstract
- We consider initial value problems (IVPs) where we are interested in a quantity of interest(QoI) that is the integral in time of a functional of the solution. For these, we analyze goal orientedtime adaptive methods that use only local error estimates. A local error estimate and timestepcontroller for step-wise contributions to the QoI are derived. We prove convergence of the error in theQoI for tolerance to zero under a controllability assumption. By analyzing global error propagationwith respect to the QoI, we can identify possible issues and make performance predictions. Numericaltests verify these results. We compare performance with classical local error based time-adaptivityand a posteriori based adaptivity using the dual-weighted... (More)
- We consider initial value problems (IVPs) where we are interested in a quantity of interest(QoI) that is the integral in time of a functional of the solution. For these, we analyze goal orientedtime adaptive methods that use only local error estimates. A local error estimate and timestepcontroller for step-wise contributions to the QoI are derived. We prove convergence of the error in theQoI for tolerance to zero under a controllability assumption. By analyzing global error propagationwith respect to the QoI, we can identify possible issues and make performance predictions. Numericaltests verify these results. We compare performance with classical local error based time-adaptivityand a posteriori based adaptivity using the dual-weighted residual (DWR) method. For dissipativeproblems, local error based methods show better performance than DWR and the goal orientedmethod shows good results in most examples, with significant speedups in some cases. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/92494e69-7599-40ad-83eb-43d77af34ee8
- author
- Meisrimel, Peter LU and Birken, Philipp LU
- organization
- publishing date
- 2020-06
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- time adaptivity, IVPs, error estimation, goal oriented problems
- in
- Algorithms
- volume
- 13.5
- issue
- 113
- publisher
- MDPI AG
- external identifiers
-
- scopus:85085737073
- ISSN
- 1999-4893
- DOI
- 10.3390/a13050113
- language
- English
- LU publication?
- yes
- id
- 92494e69-7599-40ad-83eb-43d77af34ee8
- date added to LUP
- 2020-08-18 09:09:54
- date last changed
- 2022-04-19 00:18:22
@article{92494e69-7599-40ad-83eb-43d77af34ee8, abstract = {{We consider initial value problems (IVPs) where we are interested in a quantity of interest(QoI) that is the integral in time of a functional of the solution. For these, we analyze goal orientedtime adaptive methods that use only local error estimates. A local error estimate and timestepcontroller for step-wise contributions to the QoI are derived. We prove convergence of the error in theQoI for tolerance to zero under a controllability assumption. By analyzing global error propagationwith respect to the QoI, we can identify possible issues and make performance predictions. Numericaltests verify these results. We compare performance with classical local error based time-adaptivityand a posteriori based adaptivity using the dual-weighted residual (DWR) method. For dissipativeproblems, local error based methods show better performance than DWR and the goal orientedmethod shows good results in most examples, with significant speedups in some cases.}}, author = {{Meisrimel, Peter and Birken, Philipp}}, issn = {{1999-4893}}, keywords = {{time adaptivity; IVPs; error estimation; goal oriented problems}}, language = {{eng}}, number = {{113}}, publisher = {{MDPI AG}}, series = {{Algorithms}}, title = {{Goal Oriented Time Adaptivity Using Local Error Estimates}}, url = {{http://dx.doi.org/10.3390/a13050113}}, doi = {{10.3390/a13050113}}, volume = {{13.5}}, year = {{2020}}, }