Adaptive Finite Element Approximations for Elliptic Problems using Regularized Forcing Data

Journal: 

SIAM Journal on Numerical Analysis

Date: 

2023

Authors: 

L. Heltai and W. Lei

We propose an adaptive finite element algorithm to approximate solutions of elliptic problems whose forcing data is locally defined and is approximated by regularization (or mollification). We show that the energy error decay is quasi-optimal in two-dimensional space and suboptimal in three-dimensional space. Numerical simulations are provided to confirm our findings.