Articles with public access mandates - Sergei PereverzevLearn more
Not available anywhere: 9
Solving CNLS problems using Levenberg-Marquardt algorithm: A new fitting strategy combining limits and a symbolic Jacobian matrix
M Žic, V Subotić, S Pereverzyev, I Fajfar
Journal of Electroanalytical Chemistry 866, 114171, 2020
Mandates: Slovenian Research Agency
Prediction of nocturnal hypoglycemia by an aggregation of previously known prediction approaches: proof of concept for clinical application
P Tkachenko, G Kriukova, M Aleksandrova, O Chertov, E Renard, ...
Computer methods and programs in biomedicine 134, 179-186, 2016
Mandates: Austrian Science Fund, European Commission
Model functions in the modified L-curve method—case study: the heat flux reconstruction in pool boiling
Y Heng, S Lu, A Mhamdi, SV Pereverzev
Inverse Problems 26 (5), 055006, 2010
Mandates: Austrian Science Fund, German Research Foundation
A model function method in regularized total least squares
S Lu, SV Pereverzev, U Tautenhahn
Applicable Analysis 89 (11), 1693-1703, 2010
Mandates: Austrian Science Fund
Extraction of distribution function of relaxation times by using Levenberg-Marquardt algorithm: A new approach to apply a discretization error free Jacobian matrix
M Žic, L Vlašić, V Subotić, S Pereverzyev, I Fajfar, M Kunaver
Journal of The Electrochemical Society 169 (3), 030508, 2022
Mandates: Slovenian Research Agency
Sparse recovery by the standard Tikhonov method
S Lu, SV Pereverzev
Numerische Mathematik 112 (3), 403-424, 2009
Mandates: Austrian Science Fund
Randomized matrix approximation to enhance regularized projection schemes in inverse problems
S Lu, P Mathé, SV Pereverzev
Inverse Problems 36 (8), 085013, 2020
Mandates: National Natural Science Foundation of China
Josephson mass current dynamics in experiments and simulations within a new model concept
G Eska, S Gladchenko, SV Pereverzev
Europhysics Letters 89 (2), 26009, 2010
Mandates: German Research Foundation
Regularization of naturally linearized parameter identification problems and the application of the balancing principle
H Cao, S Pereverzyev
Optimization and Regularization for Computational Inverse Problems and …, 2010
Mandates: Austrian Science Fund
Available somewhere: 52
A deep learning approach to diabetic blood glucose prediction
HN Mhaskar, SV Pereverzyev, MD Van der Walt
Frontiers in applied mathematics and statistics 3, 14, 2017
Mandates: US Department of Defense, Austrian Science Fund
Multi-parameter regularization and its numerical realization
S Lu, SV Pereverzev
Numerische Mathematik 118, 1-31, 2011
Mandates: Austrian Science Fund
A Carleman estimate and the balancing principle in the quasi-reversibility method for solving the Cauchy problem for the Laplace equation
H Cao, MV Klibanov, SV Pereverzev
Inverse problems 25 (3), 035005, 2009
Mandates: Austrian Science Fund
Balancing principle in supervised learning for a general regularization scheme
S Lu, P Mathé, SV Pereverzev
Applied and Computational Harmonic Analysis 48 (1), 123-148, 2020
Mandates: Austrian Science Fund, National Natural Science Foundation of China
On the generalized discrepancy principle for Tikhonov regularization in Hilbert scales
S Lu, SV Pereverzev, Y Shao, U Tautenhahn
The Journal of Integral Equations and Applications, 483-517, 2010
Mandates: Austrian Science Fund
Regularized total least squares: computational aspects and error bounds
S Lu, SV Pereverzev, U Tautenhahn
SIAM journal on matrix analysis and applications 31 (3), 918-941, 2010
Mandates: Austrian Science Fund
Adaptive multi-parameter regularization approach to construct the distribution function of relaxation times
M Žic, S Pereverzyev, V Subotić, S Pereverzyev
GEM-International journal on geomathematics 11, 1-23, 2020
Mandates: Austrian Science Fund
Electron extraction efficiency study for dual-phase xenon dark matter experiments
J Xu, S Pereverzev, B Lenardo, J Kingston, D Naim, A Bernstein, ...
Physical Review D 99 (10), 103024, 2019
Mandates: US Department of Energy
A linear functional strategy for regularized ranking
G Kriukova, O Panasiuk, SV Pereverzyev, P Tkachenko
Neural Networks 73, 26-35, 2016
Mandates: Austrian Science Fund
Parameter choice strategies for multipenalty regularization
M Fornasier, V Naumova, SV Pereverzyev
SIAM Journal on Numerical Analysis 52 (4), 1770-1794, 2014
Mandates: Austrian Science Fund
Discrepancy curves for multi-parameter regularization
S Lu, SV Pereverzev, Y Shao, U Tautenhahn
Walter de Gruyter GmbH & Co. KG 18 (6), 655-676, 2010
Mandates: Austrian Science Fund
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