Explicit and efficient error estimation for convex minimization problems
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Abstract:
We combine a systematic approach for deriving general a posteriori error estimates for convex minimization problems based on convex duality relations with a recently derived generalized Marini formula. The a posteriori error estimates are quasi constant-free and apply to a large class of variational problems including the $p$-Dirichlet problem, as well as degenerate minimization, obstacle and image de-noising problems. In addition, these a posteriori error estimates are based on a comparison to a given non-conforming finite element solution. For the $p$-Dirichlet problem, these a posteriori error bounds are equivalent to residual type a posteriori error bounds and, hence, reliable and efficient.References
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Additional Information
- Sören Bartels
- Affiliation: Institute of Applied Mathematics, Albert–Ludwigs–University Freiburg, Hermann–Herder–Straße 10, 79104 Freiburg, Germany
- Email: bartels@mathematik.uni-freiburg.de
- Alex Kaltenbach
- Affiliation: Institute of Applied Mathematics, Albert–Ludwigs–University Freiburg, Ernst– Zermelo–Straße 1, 79104 Freiburg, Germany
- MR Author ID: 1430678
- ORCID: 0000-0001-6478-7963
- Email: alex.kaltenbach@mathematik.uni-freiburg.de
- Received by editor(s): April 22, 2022
- Received by editor(s) in revised form: October 10, 2022
- Published electronically: March 22, 2023
- © Copyright 2023 American Mathematical Society
- Journal: Math. Comp. 92 (2023), 2247-2279
- MSC (2020): Primary 49M29, 65K15, 65N15, 65N50
- DOI: https://doi.org/10.1090/mcom/3821