University of Cambridge > Talks.cam > Applied and Computational Analysis > Regularisation by Krylov methods

  Browse A-Z

Log in

University Account External (via Google)

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹī¸ Information

Regularisation by Krylov methods

Download to your calendar using vCal

  • UserSilvia Gazzola (University of Bath)
  • ClockThursday 23 February 2017, 15:00-16:00
  • HouseMR 14, CMS.

If you have a question about this talk, please contact Carola-Bibiane Schoenlieb .

Inverse problems are ubiquitous in many areas of Science and Engineering and, once discretised, they lead to ill-conditioned linear systems, 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 surveying some standard regularisation methods, both iterative (such as many Krylov methods) and direct (such as Tikhonov method), this talk will introduce the recent class of the Krylov-Tikhonov methods, which merge an iterative and a direct approach to regularisation. In particular, strategies for choosing the regularization parameter and the regularization matrix will be emphasised.

This talk is part of the Applied and Computational Analysis series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Seminar Room 2, Clinical School Zoom Frontiers in Artificial Intelligence Series

Other talks

Fairy Tales Cooperation as a Laboratory of Being Online Causal Inference Seminar FILM: One With The Whale Zooming in on the assembly of galaxies in the early Universe Title to be confirmed
 

Š 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity