Optimal Mesh Size for Inverse Medium Scattering Problems
arXiv:1810.08283
AI Analysis
Provides guidance on mesh size selection for practitioners in inverse scattering, but the results are theoretical and lack concrete performance numbers.
This work investigates optimal mesh sizes for identifying medium obstacles from far-field or near-field data in 2D and 3D, aiming to reduce computational burden in inverse scattering problems.
An optimal mesh size of the sampling region can help to reduce computational burden in practical applications. In this work, we investigate optimal choices of mesh sizes for the identifications of medium obstacles from either the far-field or near-field data in two and three dimensions. The results would have applications in the reconstruction process of inverse scattering problems.