Line search methods with variable sample size for unconstrained optimization. - Natasa Krejic; Natasa Krklec (J. Comput. Appl. Math., 2013)

Nonmonotone line search methods with variable sample size. - Natasa Krejic; Natasa Krklec Jerinkic (Numer. Algorithms, 2015)

Distributed first and second order methods with increasing number of working nodes. - Dusan Jakovetic; Natasa Krklec Jerinkic; Natasa Krejic; Dragana Bajovic (GlobalSIP, 2016)

Distributed Gradient Methods with Variable Number of Working Nodes. - Dusan Jakovetic; Dragana Bajovic; Natasa Krejic; Natasa Krklec Jerinkic (IEEE Trans. Signal Process., 2016)

Distributed second order methods with variable number of working nodes. - Dragana Bajovic; Dusan Jakovetic; Natasa Krejic; Natasa Krklec Jerinkic (CoRR, 2017)

Newton-like Method with Diagonal Correction for Distributed Optimization. - Dragana Bajovic; Dusan Jakovetic; Natasa Krejic; Natasa Krklec Jerinkic (SIAM J. Optim., 2017)

Variable sample size method for equality constrained optimization problems. - Natasa Krejic; Natasa Krklec Jerinkic; Andrea Roznjik (Optim. Lett., 2018)

Distributed Trust-Region Method With First Order Models. - Aleksandar Armacki; Dusan Jakovetic; Natasa Krejic; Natasa Krklec Jerinkic (EUROCON, 2019)

Spectral-like gradient method for distributed optimization. - Dusan Jakovetic; Natasa Krejic; Natasa Krklec Jerinkic (EUROCON, 2019)

Exact spectral-like gradient method for distributed optimization. - Dusan Jakovetic; Natasa Krejic; Natasa Krklec Jerinkic (Comput. Optim. Appl., 2019)

Spectral projected gradient method for stochastic optimization. - Natasa Krejic; Natasa Krklec Jerinkic (J. Glob. Optim., 2019)

LSOS: Line-search Second-Order Stochastic optimization methods. - Daniela di Serafino; Natasa Krejic; Natasa Krklec Jerinkic; Marco Viola (CoRR, 2020)

Penalty variable sample size method for solving optimization problems with equality constraints in a form of mathematical expectation. - Natasa Krklec Jerinkic; Andrea Roznjik (Numer. Algorithms, 2020)

Distributed Second-Order Methods With Increasing Number of Working Nodes. - Natasa Krklec Jerinkic; Dusan Jakovetic; Natasa Krejic; Dragana Bajovic (IEEE Trans. Autom. Control., 2020)

Distributed fixed point method for solving systems of linear algebraic equations. - Dusan Jakovetic; Natasa Krejic; Natasa Krklec Jerinkic; Greta Malaspina; Alessandra Micheletti (Autom., 2021)

Emotion pattern detection on facial videos using functional statistics. - Rongjiao Ji; Alessandra Micheletti; Natasa Krklec Jerinkic; Zoranka Desnica (CoRR, 2021)

Minimizing Nonsmooth Convex Functions with Variable Accuracy. - Natasa Krejic; Natasa Krklec Jerinkic; Tijana Ostojic (CoRR, 2021)

Performance evaluation and analysis of distributed multi-agent optimization algorithms with sparsified directed communication. - Lidija Fodor; Dusan Jakovetic; Natasa Krejic; Natasa Krklec Jerinkic; Srdan Skrbic (EURASIP J. Adv. Signal Process., 2021)

A Hessian Inversion-Free Exact Second Order Method for Distributed Consensus Optimization. - Dusan Jakovetic; Natasa Krejic; Natasa Krklec Jerinkic (IEEE Trans. Signal Inf. Process. over Networks, 2022)

LSOS: Line-search second-order stochastic optimization methods for nonconvex finite sums. - Daniela di Serafino; Natasa Krejic; Natasa Krklec Jerinkic; Marco Viola (Math. Comput., 2022)

An inexact restoration-nonsmooth algorithm with variable accuracy for stochastic nonsmooth convex optimization problems in machine learning and stochastic linear complementarity problems. - Natasa Krejic; Natasa Krklec Jerinkic; Tijana Ostojic (J. Comput. Appl. Math., 2023)

EFIX: Exact fixed point methods for distributed optimization. - Dusan Jakovetic; Natasa Krejic; Natasa Krklec Jerinkic (J. Glob. Optim., 2023)

Spectral projected subgradient method for nonsmooth convex optimization problems. - Natasa Krejic; Natasa Krklec Jerinkic; Tijana Ostojic (Numer. Algorithms, 2023)

AN-SPS: adaptive sample size nonmonotone line search spectral projected subgradient method for convex constrained optimization problems. - Natasa Krklec Jerinkic; Tijana Ostojic (Optim. Methods Softw., 2024)

A non-monotone trust-region method with noisy oracles and additional sampling. - Natasa Krejic; Natasa Krklec Jerinkic; Angeles Martinez 001; Mahsa Yousefi (Comput. Optim. Appl., 2024)

Spectral stochastic gradient method with additional sampling for finite and infinite sums. - Natasa Krklec Jerinkic; Valeria Ruggiero; Ilaria Trombini (Comput. Optim. Appl., 2025)