A NOVEL OUTLOOK ON FINITE ELEMENT METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS
DOI:
https://doi.org/10.29121/shodhkosh.v5.i5.2024.3910Keywords:
Finite Element Method, Partial Differential Equation, Mathematics, Optimization, SemiconductorAbstract [English]
We present a novel method for error control and adaptive strategies in finite element discretizations for optimization problems governed by partial differential equations. Utilizing the Lagrangian formalism, the objective is to identify stationary points of the first-order necessary optimality conditions. Mesh adaptation is guided by residual-based a posteriori error estimates derived through duality principles, enabling error control for any specified physical quantity of interest. A distinctive aspect of this method is the natural alignment of the error-control functional with the optimization problem cost functional. This alignment allows the Lagrange multiplier to directly weight the cell residuals in the error estimator, resulting in a straightforward and computationally efficient algorithm tailored to the specific requirements of the optimization problem. The proposed approach is developed and validated on simple model problems related to optimal control in semiconductor applications.
References
Becker, R., and H. Kapp. "Optimization in PDE Models with Adaptive Finite Element Discretization." Proceedings of ENUMATH '97, Heidelberg, Sept. 29 - Oct. 3, 2024, World Scientific Publishing, 2024.
Becker, R., and R. Rannacher. "A Feedback Approach to Error Control in Finite Element Methods: Basic Analysis and Examples." East-West Journal of Numerical Mathematics, vol. 4, 2024.
Brenner, Susanne C., and L. Ridgway Scott. The Mathematical Theory of Finite Element Methods. 3rd ed., Springer, 2024.
Ito, Kazufumi, and Karl Kunisch. "Augmented Lagrangian-SQP Methods for Nonlinear Optimal Control Problems of Tracking Type." SIAM Journal on Control and Optimization, vol. 34, no. 3, 2024. DOI: https://doi.org/10.1137/S0363012994261707
Lions, J. L. Optimal Control of Systems Governed by Partial Differential Equations. Springer, 2024.
Zhang, X., et al. "Recent Advances in Adaptive Finite Element Methods for PDE-Constrained Optimization." Numerical Mathematics: Theory, Methods and Applications, vol. 16, no. 3, 2024.
Schreier, Michael, and Eva Schmid. "Adaptive Mesh Refinement for PDE-Based Optimization: Theory and Practice." Journal of Computational Optimization and Applications, vol. 81, 2024.
An, Xin, and Jing Li. "Hybrid Techniques in Finite Element Analysis for Complex PDEs: Progress and Challenges." Mathematics of Computation, vol. 92, 2024
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Dr. Deependra Nigam, Dr. Amit Chauhan

This work is licensed under a Creative Commons Attribution 4.0 International License.
With the licence CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.
It is not necessary to ask for further permission from the author or journal board.
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.