ERC Advanced Grant · 2022
Geometric Methods in Inverse Problems for Partial Differential Equations
Inverse problems are a research field at the intersection of pure and applied mathematics. The goal in inverse problems is to recover information from indirect, incomplete or noisy observations. The problems arise in medical and seismic imaging where measurements made on the exterior of a body are used to deduce the properties of the inaccessible interior. We use mathematical methods ranging from microlocal analysis of partial differential equations and metric geometry to stochastics and computational methods to solve these problems. The focus of the project are the inverse problems for non-linear partial differential equations. We attack these problems using a recent method that we…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.