Projects per year
Abstract
In Cai, He, and Zhang (2017), we studied an improved Zienkiewicz-Zhu (ZZ) a posteriori error estimator for conforming linear finite element approximation to diffusion problems. The estimator is more efficient than the original ZZ estimator for non-smooth problems, but with comparable computational costs. This paper extends the improved ZZ estimator for discontinuous linear finite element approximations including both nonconforming and discontinuous elements. In addition to post-processing a flux, we further explicitly recover a gradient in the H(curl) conforming finite element space. The resulting error estimator is proved, theoretically and numerically, to be efficient and reliable with constants independent of the jump of the coefficient regardless of its distribution.
| Original language | English |
|---|---|
| Pages (from-to) | 174-189 |
| Journal | Applied Numerical Mathematics |
| Volume | 159 |
| Online published | 12 Sept 2020 |
| DOIs | |
| Publication status | Published - Jan 2021 |
Research Keywords
- Adaptive mesh refinement
- Diffusion interface problem
- Improved ZZ A posteriori error estimation
- Nonconforming and discontinuous Galerkin methods
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Dive into the research topics of 'Improved ZZ a posteriori error estimators for diffusion problems: Discontinuous elements'. Together they form a unique fingerprint.Projects
- 2 Finished
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GRF: Efficient and Accurate FEMs and Optimal Error Analysis for Several Nonlinear and Strongly Coupled Systems
ZHANG, S. (Principal Investigator / Project Coordinator) & Sun, W. (Co-Investigator)
1/07/19 → 20/12/23
Project: Research
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GRF: Adaptive Finite Element Algorithms for Numerical Multiscale Methods
ZHANG, S. (Principal Investigator / Project Coordinator)
1/09/14 → 4/02/19
Project: Research