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.
Aims & Objectives
This conference from the Institute of Mathematics and its Applications (IMA) will bring 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 welcome industrial representatives, doctoral students, early career and established academics working in this field to attend.
The topics that will be covered in this workshop include:
- Regularisation theory
- Statistical inverse problems
- Data assimilation
- Inverse problem applications
Registration and Venue
There will be a nominal registration fee which will be confirmed shortly. Registration will be open via the IMA. For general conference enquiries please contact Lizzi Lake, Conference Officer email@example.com +44 (0) 1702 354 020
This two and half day workshop will take place at the Centre for Mathematical Sciences, Cambridge on 19th – 21st September 2017.
En-suite accommodation has been reserved locally at Murray Edwards College.
A college dinner will take place on Wednesday 20th September 2017.
This workshop is hosted jointly with the Institute of Mathematics and its Applications (IMA)