# Faculty of Mathematics

## Research Interests

Inverse Problems, Variational Methods, Imaging, Data science

## Teaching

I am teaching Inverse Problems together with Hanne Kekkonen in Michaelmas term 2019/2020.

I taught Inverse Problems in Imaging in Michaelmas term 2018/2019.

## Personal Web Page

NB: the list of publications below is generated automatically and incomplete. For an up-to-date list and more details about my research please visit my personal web page yury-korolev.gitlab.io.

## Publications

The multipoint approximation method as a parallel optimisation framework for problems with computationally expensive responses
YM Korolev, VV Toropov
– Civil-Comp Proceedings
(2015)
107,
Large-scale CFD Optimization based on the FFD Parametrization using the Multipoint Approximation Method in an HPC Environment
YM Korolev, VV Toropov, S Shahpar
– 16th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
(2015)
Making use of a partial order in solving inverse problems: II.
Y Korolev
– Inverse Problems
(2014)
30,
085003
Error Estimation in Ill-Posed Problems in Special Cases
AG Yagola, YM Korolev
(2013)
48,
155
Making use of a partial order in solving inverse problems
Y Korolev, A Yagola
– Inverse Problems
(2013)
29,
095012
On inverse problems in partially ordered spaces with a priori information
YM Korolev, AG Yagola
– Journal of Inverse and Ill-Posed Problems
(2012)
20,
567
Parameter identification problem for a parabolic equation – application to the Black–Scholes option pricing model
YM Korolev, H Kubo, AG Yagola
– Journal of Inverse and Ill-Posed Problems
(2012)
20,
327
Error Estimations in Linear Inverse Problems With a Priori Information
AG Yagola, YM Korolev
– PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2011, VOL 2, PTS A AND B
(2011)
2,
457
Structural analysis of an $L$-infinity variational problem and relations to distance functions
L Bungert, Y Korolev, M Burger
Deeply Learned Spectral Total Variation Decomposition
TG Grossmann, Y Korolev, G Gilboa, C-B Schönlieb
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• 2 of 2

## Research Groups

Cambridge Image Analysis
Cantab Capital Institute for the Mathematics of Information

F2.07

01223 337892