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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.

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Conference topics

  • Imaging
  • Regularisation theory
  • Statistical inverse problems
  • Sampling
  • Data assimilation
  • Inverse problem applications
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重要日期
  • 会议日期

    09月19日

    2017

    09月21日

    2017

  • 09月21日 2017

    注册截止日期

主办单位
Institute of Mathematics & its Applications
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