A novel shape optimization approach for source identification in elliptic equations
<|reference_start|>A novel shape optimization approach for source identification in elliptic equations: In this paper, we propose a novel shape optimization approach for the source identification of elliptic equations. This identification problem arises from two application backgrounds: actuator placement in PDE-constrained optimal controls and the regularized least-squares formulation of source identifications. The optimization problem seeks both the source strength and its support. By eliminating the variable associated with the source strength, we reduce the problem to a shape optimization problem for a coupled elliptic system, known as the first-order optimality system. As a model problem, we derive the shape derivative for the regularized least-squares formulation of the inverse source problem and propose a gradient descent shape optimization algorithm, implemented using the level-set method. Several numerical experiments are presented to demonstrate the efficiency of our proposed algorithms.<|reference_end|>
@article{gong2024a,
    title={A novel shape optimization approach for source identification in
  elliptic equations},
    author={Wei Gong and Ziyi Zhang},
    journal={arXiv preprint arXiv:2407.02909},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.02909},
    primaryClass={math.OC cs.NA math.NA}
}