Background

An inverse problem denotes the task of computing an unknown physical quantity from indirect measurements. The corresponding forward problem maps the physical quantity to the measurements. In most realistic situations the solution of the inverse problem is challenging, complicated by incomplete and noisy measurements, as well as non-invertible forward operators which render the inverse problem ill-posed (that is lack of stability and/or uniqueness of solutions). Inverse problems appear in many practical applications in biology, medicine, weather forecasting, chemistry, engineering, physics, to name but a few, and their analysis and solution presents considerable challenges in mathematics and statistics.

Photo Credit: Matthias J. Ehrhardt and Marta M. Betcke

Aims & Objectives

This conference from the Institute of Mathematics and its Applications (IMA) brought together mathematicians and statisticians, working on theoretical and numerical aspects of inverse problems, and engineers, physicists and other scientists, working on challenging inverse problem applications.  We welcomed industrial representatives, doctoral students, early career and established academics working in this field to attend.
The topics that were covered in this workshop included:

• Imaging
• Regularisation theory
• Statistical inverse problems
• Sampling
• Data assimilation
• Inverse problem applications

Registration and Venue

There was a nominal registration fee. Registration was open via the IMA. For general conference enquiries - Lizzi Lake, Conference Officer conferences@ima.org.uk +44 (0) 1702 354 020

This two and half day workshop took place at the Centre for Mathematical Sciences, Cambridge on 19^th – 21^st September 2017.

En-suite accommodation was reserved locally at Murray Edwards College.
 
A college dinner took place on Wednesday 20^th September 2017.