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SUMMARY:Regularisation by Krylov methods - Silvia Gazzola (University of B
 ath)
DTSTART:20170223T150000Z
DTEND:20170223T160000Z
UID:TALK70736@talks.cam.ac.uk
CONTACT:Carola-Bibiane Schoenlieb
DESCRIPTION:Inverse problems are ubiquitous in many areas of Science and E
 ngineering and\, once discretised\, they lead to ill-conditioned linear sy
 stems\, often of huge dimensions: regularisation consists in replacing the
  original system by a nearby problem with better numerical properties\, in
  order to find a meaningful approximation of its solution. After briefly s
 urveying some standard regularisation methods\, both iterative (such as ma
 ny Krylov methods) and direct (such as Tikhonov method)\, this talk will i
 ntroduce the recent class of the Krylov-Tikhonov methods\, which merge an 
 iterative and a direct approach to regularisation. In particular\, strateg
 ies for choosing the regularization parameter and the regularization matri
 x will be emphasised.
LOCATION:MR 14\, CMS
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