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SUMMARY:Lecture 1: Overview and Theory - Ben Adcock (Simon Fraser Universi
 ty)
DTSTART:20190212T150000Z
DTEND:20190212T163000Z
UID:TALK120136@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:Lecture 1: Overview and Theory&nbsp\;  In these lectures I wil
 l present an introduction to compressed sensing and sparse approximation.&
 nbsp\; The first lecture gives an overview of compressed sensing and its s
 tandard theory.&nbsp\; Next\, I will focus on two major areas of applicati
 on.&nbsp\; The second lecture considers image reconstruction\, and its app
 lication to medical and scientific imaging. &nbsp\;The third lecture consi
 ders high-dimensional approximation via compressed sensing\, with applicat
 ion to parametric PDEs in Uncertainty Quantification.  <br><br><br><br><br
 >
LOCATION:Seminar Room 1\, Newton Institute
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