Prof. Dr. Kristian Bredies
Ehemaliger Mitarbeiter der WG Industrial MathematicsProjects
- BMBF-INVERS: Dekonvolution vs. Shrinkage: Mathematische Methoden für eine verbesserte Peakdetektion (01.10.2007 - 30.06.2010)
- DFG-SPP 1114: Optimal Control of Degenerate Parabolic Partial Differential Equations in Medical Image Processing (01.01.2005 - 30.09.2007)
- Wavelet-Cluster-Verfahren für die Analyse von Proteinspektren (since 01.05.2003)
Publications (Selection)
- K. Bredies, E. Chenchene, D. Lorenz, E. Naldi.
Degenerate preconditioned proximal point algorithms.
SIAM Journal on Optimization, 32(3), 2022.DOI: 10.1137/21M1448112
online at: https://arxiv.org/abs/2109.11481 - K. Bredies, D. Lorenz.
Mathematical Image Processing.
Applied and Numerical Harmonic Analysis, Birkhäuser, 2018. - D. Lorenz, K. Bredies, S. Reiterer.
Minimization of non-smooth, non- convex functionals by iterative thresholding.
Journal of Optimization Theory and Applications, 165(1):78-112, 2015. - K. Bredies, D. Lorenz.
Mathematische Bildverarbeitung:.
, Vieweg Verlag, 2011. - K. Bredies, D. Lorenz, P. Maaß.
A generalized conditional gradient method and its connection to an iterative shrinkage method.
Computational Optimization and Applications, 42(2):173-193, Springer Verlag, 2009.