Special Session 19: New trends in inverse problems for partial differential equations

Direct sampling methods for elliptic inverse problems

Bangti Jin
The Chinese University of Hong Kong
Hong Kong
Co-Author(s):    
Abstract:
Elliptic inverse problems represent a very broad range of applied problems. Traditionally these problems are solved using regularized least-squares methods, which however are computationally expensive. In this talk, we describe a novel direct sampling method for solving several model elliptic inverse problems, and present numerical experiments to illustrate the performance.