COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Regularisation by non-standard Krylov methods
Regularisation by non-standard Krylov methodsAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact nobody. RNT - Rich and Nonlinear Tomography - a multidisciplinary approach This talk is about some so-called `hybrid projection methods’, i.e., regularisation methods that combine iterative regularisation methods (such as Krylov subspace methods) and variational regularisation methods. Hybrid projection methods based on some standard Krylov subspace methods (such as LSQR , LSMR, and GMRES ) and standard Tikhonov regularisation are well-established for linear inverse problems. The emphasis of this talk will be on novel hybrid projection methods that (1) exploit flexible Krylov subspace methods coupled with some generic p-norm regularization, or (2) exploit inexact Krylov subspace methods to handle separable nonlinear inverse problems. This talk is part of the Isaac Newton Institute Seminar Series series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsType the title of a new list here Automation and how it can help you IfM SeminarsOther talksLeveraging structure in data assimilation End Using adjoints to efficiently train a digital twin of air pollution in Kampala Data Learning: integrating Data Assimilation and Machine Learning to deal with limitations in models and data Biological and Clinical features of high grade serous ovarian cancer |