A Fixed Mesh Method With Immersed Finite Elements for Solving Interface Inverse Problems
This work provides a novel computational method for solving interface inverse problems in engineering and physics, though it is an incremental improvement over existing IFE methods.
The paper presents a fixed mesh algorithm using immersed finite elements for solving interface inverse problems, formulated as shape optimization. The method achieves optimal discretization regardless of interface location and efficiently computes gradients via adjoint procedure, demonstrated on three representative problems.
We present a new fixed mesh algorithm for solving a class of interface inverse problems for the typical elliptic interface problems. These interface inverse problems are formulated as shape optimization prob- lems whose objective functionals depend on the shape of the interface. Regardless of the location of the interface, both the governing partial differential equations and the objective functional are discretized optimally, with respect to the involved polynomial space, by an immersed finite element (IFE) method on a fixed mesh. Furthermore, the formula for the gradient of the descritized objective function is de- rived within the IFE framework that can be computed accurately and efficiently through the discretized adjoint procedure. Features of this proposed IFE method based on a fixed mesh are demonstrated by its applications to three representative interface inverse problems: the interface inverse problem with an internal measurement on a sub-domain, a Dirichlet-Neumann type inverse problem whose data is given on the boundary, and a heat dissipation design problem.