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Резултати

Spectral stochastic gradient method with additional sampling for finite and infinite sums   [2025]

Krklec-Jerinkic, Natasa  ; Ruggiero, Valeria; Trombini, Ilaria

Computing the metric dimension of graphs by genetic algorithms   [2009]

Kratica, Jozef  ; Kovačević-Vujčić, Vera; Čangalović, Mirjana

Exact spectral-like gradient method for distributed optimization   [2019]

Jakovetić, Dušan  ; Krejić, Nataša  ; Krklec Jerinkić, Nataša  

A nonmonotone Jacobian smoothing inexact Newton method for NCP   [2016]

Rapajić, Sanja  ; Pap, Zoltan  

A stochastic first-order trust-region method with inexact restoration for finite-sum minimization   [2022]

Bellavia Stefania; Krejić Nataša  ; Morini Benedetta; Rebegoldi Simone

Inexact restoration with subsampled trust-region methods for finite-sum minimization   [2020]

Bellavia, Stefania; Krejić, Nataša  ; Morini, Benedetta

Sparsity preserving preconditioners for linear systems in interior-point methods   [2015]

Dražić, Milan ; Lazović, Rade ; Vujčić, Vera 

Globally convergent Jacobian smoothing inexact Newton methods for NCP   [2008]

Krejić Nataša  ; Rapajić Sanja  

A harmonic framework for stepsize selection in gradient methods   [2023]

Ferrandi, Giulia; Hochstenbach, Michiel E; Krejic, Natasa  

A non-monotone trust-region method with noisy oracles and additional sampling   [2024]

Krejic, Natasa  ; Krklec-Jerinkic, Natasa  ; Martinez, Angeles; Yousefi, Mahsa

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