Prof. Dr. Bangti Jin

Profil

Derzeitige StellungProfessor W-3 und Äquivalente
FachgebietNumerik, Optimierung, Simulation
Keywordssparsity constraint, uncertainty quantification, spectral stochastic approach, Bayesian inference approach, stochastic inverse problems

Aktuelle Kontaktadresse

LandChina, VR
OrtHong Kong
Universität/InstitutionChinese University of Hong Kong (CUHK)
Institut/AbteilungDepartment of Mathematics

Gastgeber*innen während der Förderung

Prof. Dr. Peter MaaßZentrum für Technomathematik (ZeTeM), Universität Bremen, Bremen
Beginn der ersten Förderung01.01.2009

Programm(e)

2008Humboldt-Forschungsstipendien-Programm für Postdocs

Publikationen (Auswahl)

2011Bangti Jin, Taufiquar Khan, Peter Maass: A reconstruction algorithm for electrical impedance tomography based on sparsity regularization. In: International Journal for Numerical Methods in Engineering, 2011,
2011Kazufumi Ito, Bangti Jin, Tomoya Takeuchi: A regularization parameter for Tikhonov regularization. In: SIAM Journal on Scientific Computing, 2011, 1415-1438
2011Bangti Jin, Taufiquar Khan, Peter Maass, Michael Pidcock: Function spaces and optimal currents in impedance tomography. In: Journal of Inverse and Ill-Posed Problems, 2011, 25-48
2011Kazufumi Ito, Bangti Jin, Tomoya Takeuchi: Multi-parameter Tikhonov regularization. In: Methods and Applications of Analysis, 2011, 31-46
2011Matthias Gehre, Tobias Kluth, Antti Lipponen, Bangti Jin, Aku Seppanen, Jari Kaipio, Peter Maass: Sparsity reconstruction in electrical impedance tomography: an experimental evaluation. In: Journal of Computational and Applied Mathematics, 2011,
2010Christian Clason, Bangti Jin, Karl Kunisch: A semismooth Newton method for L1 data fitting with automatic choice of regularization parameters and noise calibration. In: SIAM Journal on Imaging Sciences, 2010, 199-231
2010Bangti Jin, Dirk A Lorenz: Heuristic parameter-choice rules for convex variational regularization based on error estimates. In: SIAM Journal on Numerical Analysis, 2010, 1208-1229
2010Bangti Jin, Jun Zou: Hierarchical Bayesian inference for Ill-posed problems via variational method. In: Journal of Computational Physics, 2010, 7317-7343
2010Christian Clason, Bangti Jin, Karl Kunisch: a duality-based splitting method for l1-TV image restoration with automatic regularization parameter choice, . In: SIAM Journal on Scientific Computing, 2010, 1484-1505
2009Bangti Jin, Dirk A Lorenz, Stefan Schiffler: Elastic-net regularization: error estimates and active set methods. In: Inverse Problems, 2009, 115022-115022