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LMS meeting on Sparse Regularisation for Inverse Problems

This one-day meeting is the first LMS meeting on inverse problems (in a series of four in 2014) that brings together UK researchers who work on advancing the field of inverse problems, both from a theoretical and from an applied point of view.
When Feb 07, 2014
from 10:15 AM to 06:00 PM
Where Isaac Newton Institute for Mathematical Sciences, Cambridge
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In 1976 Keller formulated the following very general definition of inverse problems, which is often cited in the literature:

"We call two problems inverses of one another if the formulation of each involves all or part of the solution of the other. Often, for historical reasons, one of the two problems has been studied extensively for some time, while the other is newer and not so well understood. In such cases, the former problem is called the direct problem, while the latter is called the inverse problem."

Inverse problems appear in many situations in physics, engineering, biology and medicine. The main mathematical problem is the well (ill) – posedness of the inversion process. Indeed, in practice most inverse problems are ill-posed in terms of non-uniqueness or lack of stability of the inversion.

This one-day meeting is the first LMS meeting on inverse problems (in a series of four in 2014) that brings together UK researchers who work on advancing the field of inverse problems, both from a theoretical and from an applied point of view.

The meeting will concentrate on sparse regularisation of inverse problems. Regularisation is one major technique for the solution of ill-posed inverse problems. It imposes sufficient constraints on the solution to allow for a stable inversion. In recent years ideas from compressed sensing and sparse reconstruction have entered inverse problems research with the development of inversion models that feature a regularisation which imposes certain sparsity constraints on the solution. In particular, this meeting will concentrate around the major themes:

  • Modelling of sparsity
  • Non-smooth regularisation and geometric priors
  • Sparse sampling
  • Sparse regularisation in practice

This event is funded by the London Mathematical Society and Schlumberger Gould Research.

Student Poster Prize

A prize of £100 will be awarded to the best student poster to support travel and accommodation costs (sponsored by Cambridge's Department of Applied Mathematics and Theoretical Physics).

Speakers

Invited speakers will include:

  • Robert Aykroyd (University of Leeds), UK
  • Martin Benning (University of Cambridge), UK
  • Marta Betcke (UCL), UK
  • Martin Burger (University of Münster), Germany
  • Ke Chen (University of Liverpool), UK
  • James Rickett (Gould Research Center, Schlumberger, Cambridge), UK
  • Anders Hansen (University of Cambridge), UK

 

Organisers: Martin Benning (Cambridge), Daniel Lesnic (Leeds), Carola-Bibiane Schönlieb (Cambridge) and Manuchehr Soleimani (Bath)

in association with the Isaac Newton Institute programme Inverse Problems
(25 July - 21 December 2011)

More information about this event…