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An Equilibrated a Posteriori Error Estimator for Arbitrary-Order Nédélec Elements for Magnetostatic Problems
Joscha Gedicke1, Sjoerd Geevers2, Ilaria Perugia2
1Institute for Numerical Simulation, University of Bonn, Endenicher Allee 19b, 53115 Bonn, Germany.
A new, constant-free a posteriori error estimator for Nédélec elements is introduced for magnetostatic problems. This novel method offers an upper bound on error without generic constants, applicable to arbitrary-degree elements.
Area of Science:
- Computational Electromagnetics
- Numerical Analysis
Background:
- Magnetostatic problems are crucial in various engineering applications.
- Accurate error estimation is vital for reliable numerical solutions, particularly with finite element methods.
- Existing a posteriori error estimators for Nédélec elements often rely on constants or complex local problems.
Purpose of the Study:
- To develop a novel, constant-free a posteriori error estimator for Nédélec elements applicable to magnetostatic problems.
- To extend existing error estimation techniques to arbitrary-degree Nédélec elements.
- To ensure the estimator is computationally efficient and easy to implement.
Main Methods:
- The proposed estimator is based on the equilibration of the magnetic field.
- It involves solving small, parallelizable local problems on single elements, faces, and small node sets.
- The method is proven to be reliable and efficient through theoretical analysis.
Main Results:
- A novel a posteriori error estimator for Nédélec elements in magnetostatic problems has been developed.
- The estimator is constant-free, providing an upper bound on the error without generic constants.
- The method is applicable to Nédélec elements of arbitrary degree and simplifies local problem solving compared to previous approaches.
Conclusions:
- The developed error estimator is reliable and efficient for magnetostatic problems using Nédélec elements of any degree.
- The constant-free nature and simplified local problem structure offer significant advantages for computational efficiency.
- Numerical examples confirm the theoretical findings and demonstrate the practical utility of the estimator.
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