Stefan Kindermann
Stefan Kindermann
Industrial Mathematics Institute, University Linz
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Deblurring and denoising of images by nonlocal functionals
S Kindermann, S Osher, PW Jones
Multiscale Modeling & Simulation 4 (4), 1091-1115, 2005
Generalized smart evolving fuzzy systems
E Lughofer, C Cernuda, S Kindermann, M Pratama
Evolving systems 6 (4), 269-292, 2015
Convergence analysis of minimization-based noise level-free parameter choice rules for linear ill-posed problems
S Kindermann
Electronic Transactions on Numerical Analysis 38, 233-257, 2011
SparseFIS: Data-driven learning of fuzzy systems with sparsity constraints
E Lughofer, S Kindermann
IEEE Transactions on Fuzzy Systems 18 (2), 396-411, 2010
Swamp reducing technique for tensor decomposition
C Navasca, L De Lathauwer, S Kindermann
2008 16th European Signal Processing Conference, 1-5, 2008
On the convergence of the quasioptimality criterion for (iterated) Tikhonov regularization
S Kindermann, A Neubauer
Inverse Problems and Imaging 2 (2), 291-299, 2008
Some convergence results on the regularized alternating least-squares method for tensor decomposition
N Li, S Kindermann, C Navasca
Linear Algebra and its Applications 438 (2), 796-812, 2013
Identification of the diffusion coefficient in a one-dimensional parabolic equation
V Isakov, S Kindermann
Inverse problems 16 (3), 665, 2000
The quasi-optimality criterion for classical inverse problems
F Bauer, S Kindermann
Inverse Problems 24 (3), 035002, 2008
Improved and extended results for enhanced convergence rates of Tikhonov regularization in Banach spaces
A Neubauer, T Hein, B Hofmann, S Kindermann, U Tautenhahn
Applicable Analysis 89 (11), 1729-1743, 2010
Subspaces of stability in the Cauchy problem for the Helmholtz equation
V Isakov, S Kindermann
Methods and Applications of Analysis 18 (1), 1-30, 2011
A simplified L-curve method as error estimator
S Kindermann, K Raik
arXiv preprint arXiv:1908.10140, 2019
Synergy of inverse problems and data assimilation techniques
MA Freitag, RWE Potthast
Large Scale Inverse Problems—Computational Methods and Applications In theá…, 2013
Denoising by BV-duality
S Kindermann, S Osher, J Xu
Journal of Scientific Computing 28, 411-444, 2006
Reconstruction of shapes and impedance functions using few far-field measurements
L He, S Kindermann, M Sini
Journal of Computational Physics 228 (3), 717-730, 2009
Convergence rates in the Prokhorov metric for assessing uncertainty in ill-posed problems
HW Engl, A Hofinger, S Kindermann
Inverse Problems 21 (1), 399, 2005
Recent results on the quasi-optimality principle
F Bauer, S Kindermann
Walter de Gruyter GmbH & Co. KG 17 (1), 5-18, 2009
The quasi-optimality criterion in the linear functional strategy
S Kindermann, S Pereverzyev, A Pilipenko
Inverse Problems 34 (7), 075001, 2018
Discretization independent convergence rates for noise level-free parameter choice rules for the regularization of ill-conditioned problems
S Kindermann
Electronic Transactions on Numerical Analysis 40, 58-81, 2013
On the degree of ill-posedness for linear problems with noncompact operators
B Hofmann, S Kindermann
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