Recent progress in the Calderon problem with partial data

TL;DR

This paper surveys recent advances in solving Calderon's inverse problem when only partial boundary data is available, especially in three or more dimensions.

Contribution

It provides a comprehensive overview of recent progress and key techniques in the Calderon problem with partial data in higher dimensions.

Findings

Summarizes new methods for partial data Calderon problems

Highlights recent theoretical breakthroughs in higher dimensions

Identifies open challenges and future research directions

Abstract

We survey recent results on Calderon's inverse problem with partial data, focusing on three and higher dimensions.