Natasa Krejic

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 40

Top Topics

Gradient Method

Optimization Problems

Constrained Optimization

Top Venues

Comput. Optim. Appl.

Publications

Natasa Krejic, Natasa Krklec Jerinkic, Angeles Martinez, Mahsa Yousefi
A non-monotone trust-region method with noisy oracles and additional sampling. Comput. Optim. Appl. 89 (1) (2024)
Greta Malaspina, Dusan Jakovetic, Natasa Krejic
Linear convergence rate analysis of a class of exact first-order distributed methods for weight-balanced time-varying networks and uncoordinated step sizes. Optim. Lett. 18 (3) (2024)
Natasa Krejic, Natasa Krklec Jerinkic, Tijana Ostojic
Spectral projected subgradient method for nonsmooth convex optimization problems. Numer. Algorithms 93 (1) (2023)
Giulia Ferrandi, Michiel E. Hochstenbach, Natasa Krejic
A harmonic framework for stepsize selection in gradient methods. Comput. Optim. Appl. 85 (1) (2023)
Stefania Bellavia, Natasa Krejic, Benedetta Morini, Simone Rebegoldi
A stochastic first-order trust-region method with inexact restoration for finite-sum minimization. Comput. Optim. Appl. 84 (1) (2023)
Natasa Krejic, Greta Malaspina, Lense Swaenen
A split Levenberg-Marquardt method for large-scale sparse problems. Comput. Optim. Appl. 85 (1) (2023)
Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
EFIX: Exact fixed point methods for distributed optimization. J. Glob. Optim. 85 (3) (2023)
Matthias Rottmann, Kira Maag, Mathis Peyron, Hanno Gottschalk, Natasa Krejic
Detection of Iterative Adversarial Attacks via Counter Attack. J. Optim. Theory Appl. 198 (3) (2023)
Natasa Krejic, Natasa Krklec Jerinkic, Tijana Ostojic
An inexact restoration-nonsmooth algorithm with variable accuracy for stochastic nonsmooth convex optimization problems in machine learning and stochastic linear complementarity problems. J. Comput. Appl. Math. 423 (2023)
Ernesto G. Birgin, Natasa Krejic, José Mario Martínez
Inexact restoration for derivative-free expensive function minimization and applications. J. Comput. Appl. Math. 410 (2022)
Giulia Ferrandi, Michiel E. Hochstenbach, Natasa Krejic
A harmonic framework for stepsize selectionin gradient methods. CoRR (2022)
Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
A Hessian Inversion-Free Exact Second Order Method for Distributed Consensus Optimization. IEEE Trans. Signal Inf. Process. over Networks 8 (2022)
Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
A Hessian inversion-free exact second order method for distributed consensus optimization. CoRR (2022)
Daniela di Serafino, Natasa Krejic, Natasa Krklec Jerinkic, Marco Viola
LSOS: Line-search second-order stochastic optimization methods for nonconvex finite sums. Math. Comput. 92 (341) (2022)
Milos Savic, Jasna Atanasijevic, Dusan Jakovetic, Natasa Krejic
Tax evasion risk management using a Hybrid Unsupervised Outlier Detection method. Expert Syst. Appl. 193 (2022)
Natasa Krejic, Greta Malaspina, Lense Swaenen
Splitted Levenberg-Marquardt Method for Large-Scale Sparse Problems. CoRR (2022)
Natasa Krejic, Natasa Krklec Jerinkic, Tijana Ostojic
Spectral Projected Subgradient Method for Nonsmooth Convex Optimization Problems. CoRR (2022)
Lidija Fodor, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic, Srdan Skrbic
Performance evaluation and analysis of distributed multi-agent optimization algorithms with sparsified directed communication. EURASIP J. Adv. Signal Process. 2021 (1) (2021)
Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic, Greta Malaspina, Alessandra Micheletti
Distributed fixed point method for solving systems of linear algebraic equations. Autom. 134 (2021)
Stefania Bellavia, Natasa Krejic, Benedetta Morini, Simone Rebegoldi
A stochastic first-order trust-region method with inexact restoration for finite-sum minimization. CoRR (2021)
Milos Savic, Jasna Atanasijevic, Dusan Jakovetic, Natasa Krejic
Tax Evasion Risk Management Using a Hybrid Unsupervised Outlier Detection Method. CoRR (2021)
Natasa Krejic, Natasa Krklec Jerinkic, Tijana Ostojic
Minimizing Nonsmooth Convex Functions with Variable Accuracy. CoRR (2021)
Daniela di Serafino, Natasa Krejic, Natasa Krklec Jerinkic, Marco Viola
LSOS: Line-search Second-Order Stochastic optimization methods. CoRR (2020)
Stefania Bellavia, Natasa Krejic, Benedetta Morini
Inexact restoration with subsampled trust-region methods for finite-sum minimization. Comput. Optim. Appl. 76 (3) (2020)
Matthias Rottmann, Mathis Peyron, Natasa Krejic, Hanno Gottschalk
Detection of Iterative Adversarial Attacks via Counter Attack. CoRR (2020)
Natasa Krklec Jerinkic, Dusan Jakovetic, Natasa Krejic, Dragana Bajovic
Distributed Second-Order Methods With Increasing Number of Working Nodes. IEEE Trans. Autom. Control. 65 (2) (2020)
Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic, Greta Malaspina, Alessandra Micheletti
Distributed Fixed Point Method for Solving Systems of Linear Algebraic Equations. CoRR (2020)
Ernesto G. Birgin, Natasa Krejic, José Mario Martínez
Iteration and evaluation complexity for the minimization of functions whose computation is intrinsically inexact. Math. Comput. 89 (321) (2020)
Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
Spectral-like gradient method for distributed optimization. EUROCON (2019)
Natasa Krejic, Natasa Krklec Jerinkic
Spectral projected gradient method for stochastic optimization. J. Glob. Optim. 73 (1) (2019)
Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
Exact spectral-like gradient method for distributed optimization. Comput. Optim. Appl. 74 (3) (2019)
Aleksandar Armacki, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
Distributed Trust-Region Method With First Order Models. EUROCON (2019)
Natasa Krejic, Natasa Krklec Jerinkic, Andrea Roznjik
Variable sample size method for equality constrained optimization problems. Optim. Lett. 12 (3) (2018)
Ernesto G. Birgin, Natasa Krejic, José Mario Martínez
On the employment of inexact restoration for the minimization of functions whose evaluation is subject to errors. Math. Comput. 87 (311) (2018)
Dragana Bajovic, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
Distributed second order methods with variable number of working nodes. CoRR (2017)
Ernesto G. Birgin, Natasa Krejic, José Mario Martínez
On the minimization of possibly discontinuous functions by means of pointwise approximations. Optim. Lett. 11 (8) (2017)
Dragana Bajovic, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
Newton-like Method with Diagonal Correction for Distributed Optimization. SIAM J. Optim. 27 (2) (2017)
Dusan Jakovetic, Natasa Krklec Jerinkic, Natasa Krejic, Dragana Bajovic
Distributed first and second order methods with increasing number of working nodes. GlobalSIP (2016)
Natasa Krejic, José Mario Martínez
Inexact Restoration approach for minimization with inexact evaluation of the objective function. Math. Comput. 85 (300) (2016)
Dusan Jakovetic, Dragana Bajovic, Natasa Krejic, Natasa Krklec Jerinkic
Distributed Gradient Methods with Variable Number of Working Nodes. IEEE Trans. Signal Process. 64 (15) (2016)
Natasa Krejic, Natasa Krklec Jerinkic
Nonmonotone line search methods with variable sample size. Numer. Algorithms 68 (4) (2015)
Dusan Jakovetic, Dragana Bajovic, Natasa Krejic, Natasa Krklec Jerinkic
Distributed Gradient Methods with Variable Number of Working Nodes. CoRR (2015)
Miles Kumaresan, Natasa Krejic
Optimal trading of algorithmic orders in a liquidity fragmented market place. Ann. Oper. Res. 229 (1) (2015)
Natasa Krejic, Zorana Luzanin, Zoran Ovcin, Irena Stojkovska
Descent direction method with line search for unconstrained optimization in noisy environment. Optim. Methods Softw. 30 (6) (2015)
Dragana Bajovic, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
Newton-like method with diagonal correction for distributed optimization. CoRR (2015)
Natasa Krejic, Zorana Luzanin, Filip Nikolovski, Irena Stojkovska
A nonmonotone line search method for noisy minimization. Optim. Lett. 9 (7) (2015)
Natasa Krejic, Natasa Krklec
Line search methods with variable sample size for unconstrained optimization. J. Comput. Appl. Math. 245 (2013)
Ernesto G. Birgin, Luis Felipe Bueno, Natasa Krejic, José Mario Martínez
Low order-value approach for solving VaR-constrained optimization problems. J. Glob. Optim. 51 (4) (2011)
Natasa Krejic, Miles Kumaresan, Andrea Roznjik
VaR optimal portfolio with transaction costs. Appl. Math. Comput. 218 (8) (2011)
Miles Kumaresan, Natasa Krejic
A model for optimal execution of atomic orders. Comput. Optim. Appl. 46 (2) (2010)
Sandra Buhmiler, Natasa Krejic, Zorana Luzanin
Practical Quasi-Newton algorithms for singular nonlinear systems. Numer. Algorithms 55 (4) (2010)
Natasa Krejic, Zorana Luzanin, Irena Stojkovska
Gauss-Newton-based BFGS method with filter for unconstrained minimization. Appl. Math. Comput. 211 (2) (2009)
Natasa Krejic, Sanja Rapajic
Globally convergent Jacobian smoothing inexact Newton methods for NCP. Comput. Optim. Appl. 41 (2) (2008)
Natasa Krejic, Zorana Luzanin, Ivana Radeka
Newton-like method for nonlinear banded block diagonal system. Appl. Math. Comput. 189 (2) (2007)
Natasa Krejic, Zorana Luzanin, Sanja Rapajic
Iterative method with modification of the right-hand side vector for nonlinear complementarity problems. Int. J. Comput. Math. 83 (2) (2006)
Ernesto G. Birgin, Natasa Krejic, José Mario Martínez
Solution of Bounded Nonlinear Systems of Equations Using Homotopies with Inexact Restoration. Int. J. Comput. Math. 80 (2) (2003)
Ernesto G. Birgin, Natasa Krejic, José Mario Martínez
Globally Convergent Inexact Quasi-Newton Methods for Solving Nonlinear Systems. Numer. Algorithms 32 (2-4) (2003)
Natasa Krejic, Zorana Luzanin
Newton-like method with modification of the right-hand-side vector. Math. Comput. 71 (237) (2002)
Natasa Krejic, José Mario Martínez, Margarida Mello, Elvio A. Pilotta
Validation of an Augmented Lagrangian Algorithm with a Gauss-Newton Hessian Approximation Using a Set of Hard-Spheres Problems. Comput. Optim. Appl. 16 (3) (2000)