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Introduction

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. This conference 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.

Call for paper

Submission Topics

Conference topics

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

    Sep 19

    2017

    to

    Sep 21

    2017

  • Sep 21 2017

    Registration deadline

Sponsored By
Institute of Mathematics & its Applications
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