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Autori: Krejic Natasa

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Naslov A non-monotone trust-region method with noisy oracles and additional sampling (Article; Early Access)
Autori Krejic Natasa Krklec-Jerinkic Natasa Martinez Angeles Yousefi Mahsa 
Info COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, (2024), vol. br. , str. -
Projekat Provincial Secretariat for Higher Education and Scientific Research, Autonomous Province of Vojvodina [7359]; Science Fund of the Republic of Serbia [CUP _ \, E53C22001930001]; INdAM-GNCS; European Union Next-GenerationEU [1.5 - D.D. 1058 23/06/2022, 00000043]; Missione 4 Componente 2, Investimento
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Naslov Linear convergence rate analysis of a class of exact first-order distributed methods for weight-balanced time-varying networks and uncoordinated step sizes (Article)
Autori Malaspina Greta  Jakovetic Dusan Krejic Natasa 
Info OPTIMIZATION LETTERS, (2024), vol. 18 br. 3, str. 825-846
Projekat European Union [812912]; Serbian Ministry of Education, Science and Technological Development grant
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Naslov Detection of Iterative Adversarial Attacks via Counter Attack (Article)
Autori Rottmann Matthias Maag Kira Peyron Mathis Gottschalk Hanno Krejic Natasa 
Info JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, (2023), vol. 198 br. 3, str. 892-929
Projekat Projekt DEAL; Provincial Secretariat for Higher Education and Scientific Research of Vojvodina [142-451-2593/2021-01/2]
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Naslov A split Levenberg-Marquardt method for large-scale sparse problems (Article)
Autori Krejic Natasa Malaspina Greta  Swaenen Lense 
Info COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, (2023), vol. 85 br. 1, str. 147-179
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Naslov A harmonic framework for stepsize selection in gradient methods (Article)
Autori Ferrandi Giulia Hochstenbach Michiel E Krejic Natasa 
Info COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, (2023), vol. 85 br. 1, str. 75-106
Projekat European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant [812912]
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Naslov An inexact restoration-nonsmooth algorithm with variable accuracy for stochastic nonsmooth convex optimization problems in machine learning and stochastic linear complementarity problems (Article)
Autori Krejic Natasa Krklec-Jerinkic Natasa Ostojic Tijana 
Info JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, (2023), vol. 423 br. , str. -
Projekat Provincial Secretariat for Higher Education and Scientific Research of Vojvodina; Ministry of Education, Science and Technological Development, Republic of Serbia; [142-451-2593/2021-01/2]
Ispravka Web of Science   Članak   Elečas   Rang časopisa   Citati: Web of Science  
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Naslov LSOS: Line-Search Second-Order Stochastic Optimization Methods for Nonconvex Finite Sums (Article)
Autori Di Serafino Daniela Krejic Natasa Krklec-Jerinkic Natasa Viola Marco 
Info MATHEMATICS OF COMPUTATION, (2023), vol. 92 br. 341, str. 1273-1299
Projekat Executive Programme of Scientific and Technological Cooperation between the Italian Republic and the Republic of Serbia for years 2019-21 [RS19MO05, 451-03-9/2021-14/200125]; Istituto Nazionale di Alta Matematica - Gruppo Nazionale per ilCalcolo Scientifico (INdAM-GNCS); 2019 V:ALERE Program of the University ofCampania "L. Vanvitelli"; Serbian Academy of Scienceand Arts [F10]
Ispravka Web of Science   Članak   Elečas   Rang časopisa   Citati: Web of Science  
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Naslov A stochastic first-order trust-region method with inexact restoration for finite-sum minimization (Article)
Autori Bellavia Stefania Krejic Natasa Morini Benedetta Rebegoldi Simone 
Info COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, (2023), vol. 84 br. 1, str. 53-84
Projekat Universita degli Studi di Firenze within the CRUI-CARE Agreement; GNCS of INdAM and partially developed within the Mobility Project: "Second order methods for optimization problems in Machine Learning" [RS19MO05]; Serbian Ministry of Education, Science and Technological Development [451-03-9/2021-14/200125]
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Naslov Spectral projected subgradient method for nonsmooth convex optimization problems (Article)
Autori Krejic Natasa Krklec-Jerinkic Natasa Ostojic Tijana 
Info NUMERICAL ALGORITHMS, (2023), vol. 93 br. 1, str. 347-365
Projekat Ministry of Education, Science and Technological Development, Republic of Serbia
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Naslov EFIX: Exact fixed point methods for distributed optimization (Article)
Autori Jakovetic Dusan Krejic Natasa Krklec-Jerinkic Natasa 
Info JOURNAL OF GLOBAL OPTIMIZATION, (2023), vol. 85 br. 3, str. 637-661
Projekat Ministry of Education, Science and Technological Development, Republic of Serbia; European Union [871518]
Ispravka Web of Science   Članak   Elečas   Rang časopisa   Citati: Web of Science   Scopus  
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