Validation of an Augmented Lagrangian Algorithm with a Gauss-Newton Hessian Approximation Using a Set of Hard-Spheres Problems. - Natasa Krejic; José Mario Martínez; Margarida Mello; Elvio A. Pilotta (Comput. Optim. Appl., 2000)

Newton-like method with modification of the right-hand-side vector. - Natasa Krejic; Zorana Luzanin (Math. Comput., 2002)

Solution of Bounded Nonlinear Systems of Equations Using Homotopies with Inexact Restoration. - Ernesto G. Birgin; Natasa Krejic; José Mario Martínez (Int. J. Comput. Math., 2003)

Globally Convergent Inexact Quasi-Newton Methods for Solving Nonlinear Systems. - Ernesto G. Birgin; Natasa Krejic; José Mario Martínez (Numer. Algorithms, 2003)

Iterative method with modification of the right-hand side vector for nonlinear complementarity problems. - Natasa Krejic; Zorana Luzanin; Sanja Rapajic (Int. J. Comput. Math., 2006)

Newton-like method for nonlinear banded block diagonal system. - Natasa Krejic; Zorana Luzanin; Ivana Radeka (Appl. Math. Comput., 2007)

Globally convergent Jacobian smoothing inexact Newton methods for NCP. - Natasa Krejic; Sanja Rapajic (Comput. Optim. Appl., 2008)

Gauss-Newton-based BFGS method with filter for unconstrained minimization. - Natasa Krejic; Zorana Luzanin; Irena Stojkovska (Appl. Math. Comput., 2009)

A model for optimal execution of atomic orders. - Miles Kumaresan; Natasa Krejic (Comput. Optim. Appl., 2010)

Practical Quasi-Newton algorithms for singular nonlinear systems. - Sandra Buhmiler; Natasa Krejic; Zorana Luzanin (Numer. Algorithms, 2010)

VaR optimal portfolio with transaction costs. - Natasa Krejic; Miles Kumaresan; Andrea Roznjik (Appl. Math. Comput., 2011)

Low order-value approach for solving VaR-constrained optimization problems. - Ernesto G. Birgin; Luis Felipe Bueno; Natasa Krejic; José Mario Martínez (J. Glob. Optim., 2011)

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

Optimal trading of algorithmic orders in a liquidity fragmented market place. - Miles Kumaresan; Natasa Krejic (Ann. Oper. Res., 2015)

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

A nonmonotone line search method for noisy minimization. - Natasa Krejic; Zorana Luzanin; Filip Nikolovski; Irena Stojkovska (Optim. Lett., 2015)

Descent direction method with line search for unconstrained optimization in noisy environment. - Natasa Krejic; Zorana Luzanin; Zoran Ovcin; Irena Stojkovska (Optim. Methods Softw., 2015)

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

Inexact Restoration approach for minimization with inexact evaluation of the objective function. - Natasa Krejic; José Mario Martínez (Math. Comput., 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)

On the minimization of possibly discontinuous functions by means of pointwise approximations. - Ernesto G. Birgin; Natasa Krejic; José Mario Martínez (Optim. Lett., 2017)

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

On the employment of inexact restoration for the minimization of functions whose evaluation is subject to errors. - Ernesto G. Birgin; Natasa Krejic; José Mario Martínez (Math. Comput., 2018)

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)

Inexact restoration with subsampled trust-region methods for finite-sum minimization. - Stefania Bellavia; Natasa Krejic; Benedetta Morini (Comput. Optim. Appl., 2020)

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

Detection of Iterative Adversarial Attacks via Counter Attack. - Matthias Rottmann; Mathis Peyron; Natasa Krejic; Hanno Gottschalk (CoRR, 2020)

Iteration and evaluation complexity for the minimization of functions whose computation is intrinsically inexact. - Ernesto G. Birgin; Natasa Krejic; José Mario Martínez (Math. Comput., 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)

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 harmonic framework for stepsize selectionin gradient methods. - Giulia Ferrandi; Michiel E. Hochstenbach; Natasa Krejic (CoRR, 2022)

Splitted Levenberg-Marquardt Method for Large-Scale Sparse Problems. - Natasa Krejic; Greta Malaspina; Lense Swaenen (CoRR, 2022)

Tax evasion risk management using a Hybrid Unsupervised Outlier Detection method. - Milos Savic 001; Jasna Atanasijevic; Dusan Jakovetic; Natasa Krejic (Expert Syst. Appl., 2022)

Inexact restoration for derivative-free expensive function minimization and applications. - Ernesto G. Birgin; Natasa Krejic; José Mario Martínez (J. Comput. Appl. Math., 2022)

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)

A stochastic first-order trust-region method with inexact restoration for finite-sum minimization. - Stefania Bellavia; Natasa Krejic; Benedetta Morini; Simone Rebegoldi (Comput. Optim. Appl., 2023)

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)

A harmonic framework for stepsize selection in gradient methods. - Giulia Ferrandi; Michiel E. Hochstenbach; Natasa Krejic (Comput. Optim. Appl., 2023)

A split Levenberg-Marquardt method for large-scale sparse problems. - Natasa Krejic; Greta Malaspina; Lense Swaenen (Comput. Optim. Appl., 2023)

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

Detection of Iterative Adversarial Attacks via Counter Attack. - Matthias Rottmann; Kira Maag; Mathis Peyron; Hanno Gottschalk; Natasa Krejic (J. Optim. Theory Appl., 2023)

A Low-Cost Alternating Projection Approach for a Continuous Formulation of Convex and Cardinality Constrained Optimization. - Natasa Krejic; Evelin H. M. Krulikovski; Marcos Raydan (Oper. Res. Forum, 2023)

Linear convergence rate analysis of a class of exact first-order distributed methods for weight-balanced time-varying networks and uncoordinated step sizes. - Greta Malaspina; Dusan Jakovetic; Natasa Krejic (Optim. Lett., 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)

Distributed inexact Newton method with adaptive step sizes. - Dusan Jakovetic; Natasa Krejic; Greta Malaspina (Comput. Optim. Appl., 2025)

Parallel inexact Levenberg-Marquardt method for nearly-separable nonlinear least squares. - Lidija Fodor; Dusan Jakovetic; Natasa Krejic; Greta Malaspina (J. Glob. Optim., 2025)