Stefan Kindermann

Affiliations:
  • Johannes Kepler University Linz, Industrial Mathematics Institute, Austria


According to our database1, Stefan Kindermann authored at least 27 papers between 2003 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2021
The Hausdorff Moment Problem in the light of ill-posedness of type I.
CoRR, 2021

Regularization by dynamic programming.
CoRR, 2021

On regularization methods based on dynamic programming techniques.
CoRR, 2021

On regularization methods for inverse problems of dynamic type.
CoRR, 2021

Optimal-order convergence of Nesterov acceleration for linear ill-posed problems.
CoRR, 2021

2020
Convergence of Heuristic Parameter Choice Rules for Convex Tikhonov Regularization.
SIAM J. Numer. Anal., 2020

2019
A simplified L-curve method as error estimator.
CoRR, 2019

Optimization of the shape (and topology) of the initial conditions for diffusion parameter identification.
Comput. Math. Appl., 2019

2017
Top-Down Sparse Fuzzy Regression Modeling from Data with Improved Coverage.
Int. J. Fuzzy Syst., 2017

Disc vs. Annulus: On the Bleaching Pattern Optimization for FRAP Experiments.
Proceedings of the High Performance Computing in Science and Engineering, 2017

2016
Projection Methods for Ill-Posed Problems Revisited.
Comput. Methods Appl. Math., 2016

On Optimization of FRAP Experiments: Model-Based Sensitivity Analysis Approach.
Proceedings of the Bioinformatics and Biomedical Engineering, 2016

2015
Generalized smart evolving fuzzy systems.
Evol. Syst., 2015

FRAP & FLIP: Two Sides of the Same Coin?
Proceedings of the Bioinformatics and Biomedical Engineering, 2015

2014
News Algorithms for tensor decomposition based on a reduced functional.
Numer. Linear Algebra Appl., 2014

2012
A singular value decomposition for the Shack-Hartmann based wavefront reconstruction.
J. Comput. Appl. Math., 2012

2011
On the calibration of local jump-diffusion asset price models.
Finance Stochastics, 2011

2010
SparseFIS: Data-Driven Learning of Fuzzy Systems With Sparsity Constraints.
IEEE Trans. Fuzzy Syst., 2010

2009
Reconstruction of shapes and impedance functions using few far-field measurements.
J. Comput. Phys., 2009

Rule Weight Optimization and Feature Selection in Fuzzy Systems with Sparsity Contraints.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

2008
Parameter Identification in a Random Environment Exemplified by a Multiscale Model for Crystal Growth.
Multiscale Model. Simul., 2008

Improving the robustness of data-driven fuzzy systems with regularization.
Proceedings of the FUZZ-IEEE 2008, 2008

Swamp reducing technique for tensor decomposition.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
Solution of a non-linear inverse problem to identify the surface normal velocity of ultrasound transducers.
Elektrotech. Informationstechnik, 2007

2006
Denoising by BV-duality.
J. Sci. Comput., 2006

2005
Deblurring and Denoising of Images by Nonlocal Functionals.
Multiscale Model. Simul., 2005

2003
Parameter Identification by Regularization for Surface Representation via the Moving Grid Approach.
SIAM J. Control. Optim., 2003


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