‪Kemal Raik‬ - ‪Google Scholar‬

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Stefan KindermannIndustrial Mathematics Institute, University LinzVerified email at indmath.uni-linz.ac.at
Uno HämarikAssociated Professor of Mathematics, University of TartuVerified email at ut.ee
Urve KangroAssociate Professor, University of TartuVerified email at ut.ee
Simon HubmerPostdoctoral Researcher, Johann Radon Institute Linz, AustriaVerified email at ricam.oeaw.ac.at

Kemal Raik

Kemal Raik

University of Vienna

Verified email at univie.ac.at - Homepage

Regularisation parameter choice rules inverse problems ill-posed problems


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A simplified L-curve method as error estimator S Kindermann, K Raik arXiv preprint arXiv:1908.10140, 2019	39	2019
Convergence of heuristic parameter choice rules for convex Tikhonov regularization S Kindermann, K Raik SIAM Journal on Numerical Analysis 58 (3), 1773-1800, 2020	9	2020
Heuristic parameter choice rules for Tikhonov regularization with weakly bounded noise S Kindermann, K Raik Numerical Functional Analysis and Optimization 40 (12), 1373-1394, 2019	5	2019
Semi-heuristic parameter choice rules for Tikhonov regularisation with operator perturbations U Hämarik, U Kangro, S Kindermann, K Raik Journal of Inverse and Ill-posed Problems 27 (1), 117-131, 2019	4	2019
A numerical comparison of some heuristic stopping rules for nonlinear Landweber iteration S Hubmer, E Sherina, S Kindermann, K Raik arXiv preprint arXiv:2205.09831, 2022	3	2022
Linear and Nonlinear Heuristic Regularisation for Ill-Posed Problems/submitted by Kemal Raik, MA MSc. K Raik	1	2020

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