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Optimal design for inverse problems

Presented by: 
SGM Biedermann University of Southampton
Date: 
Wednesday 20th July 2011 - 16:15 to 17:00
Venue: 
INI Seminar Room 1
Abstract: 
In many real life applications, it is impossible to observe the feature of interest directly. For example, non-invasive medical imaging techniques rely on indirect observations to reconstruct an image of the patient's internal organs. We investigate optimal designs for such inverse problems. We use the optimal designs as benchmarks to investigate the efficiency of designs commonly used in applications. Several examples are discussed for illustration. Our designs provide guidelines to scientists regarding the experimental conditions at which the indirect observations should be taken in order to obtain an accurate estimate for the object of interest.
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Presentation Material: 
University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons