Natasa Krejic

According to our database, Natasa Krejic authored at least 53 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A non-monotone trust-region method with noisy oracles and additional sampling.

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

Comput. Optim. Appl., September, 2024

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., April, 2024

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, December, 2023

Detection of Iterative Adversarial Attacks via Counter Attack.

Matthias Rottmann, Kira Maag, Mathis Peyron, Hanno Gottschalk, Natasa Krejic

J. Optim. Theory Appl., September, 2023

Spectral projected subgradient method for nonsmooth convex optimization problems.

Natasa Krejic, Natasa Krklec Jerinkic, Tijana Ostojic

Numer. Algorithms, May, 2023

A split Levenberg-Marquardt method for large-scale sparse problems.

Natasa Krejic, Greta Malaspina, Lense Swaenen

Comput. Optim. Appl., May, 2023

A harmonic framework for stepsize selection in gradient methods.

Giulia Ferrandi, Michiel E. Hochstenbach, Natasa Krejic

Comput. Optim. Appl., May, 2023

EFIX: Exact fixed point methods for distributed optimization.

Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic

J. Glob. Optim., March, 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

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

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., November, 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

Inexact restoration for derivative-free expensive function minimization and applications.

Ernesto G. Birgin, Natasa Krejic, José Mario Martínez

J. Comput. Appl. Math., 2022

Tax evasion risk management using a Hybrid Unsupervised Outlier Detection method.

Milos Savic, Jasna Atanasijevic, Dusan Jakovetic, Natasa Krejic

Expert Syst. Appl., 2022

Splitted Levenberg-Marquardt Method for Large-Scale Sparse Problems.

Natasa Krejic, Greta Malaspina, Lense Swaenen

CoRR, 2022

A harmonic framework for stepsize selectionin gradient methods.

Giulia Ferrandi, Michiel E. Hochstenbach, Natasa Krejic

CoRR, 2022

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

Minimizing Nonsmooth Convex Functions with Variable Accuracy.

Natasa Krejic, Natasa Krklec Jerinkic, Tijana Ostojic

CoRR, 2021

Distributed fixed point method for solving systems of linear algebraic equations.

Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic, Greta Malaspina, Alessandra Micheletti

Autom., 2021

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

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

Detection of Iterative Adversarial Attacks via Counter Attack.

Matthias Rottmann, Mathis Peyron, Natasa Krejic, Hanno Gottschalk

CoRR, 2020

LSOS: Line-search Second-Order Stochastic optimization methods.

Daniela di Serafino, Natasa Krejic, Natasa Krklec Jerinkic, Marco Viola

CoRR, 2020

Inexact restoration with subsampled trust-region methods for finite-sum minimization.

Stefania Bellavia, Natasa Krejic, Benedetta Morini

Comput. Optim. Appl., 2020

2019

Spectral projected gradient method for stochastic optimization.

Natasa Krejic, Natasa Krklec Jerinkic

J. Glob. Optim., 2019

Exact spectral-like gradient method for distributed optimization.

Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic

Comput. Optim. Appl., 2019

Spectral-like gradient method for distributed optimization.

Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic

Proceedings of the IEEE EUROCON 2019, 2019

Distributed Trust-Region Method With First Order Models.

Aleksandar Armacki, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic

Proceedings of the IEEE EUROCON 2019, 2019

2018

Variable sample size method for equality constrained optimization problems.

Natasa Krejic, Natasa Krklec Jerinkic, Andrea Roznjik

Optim. Lett., 2018

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

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 minimization of possibly discontinuous functions by means of pointwise approximations.

Ernesto G. Birgin, Natasa Krejic, José Mario Martínez

Optim. Lett., 2017

Distributed second order methods with variable number of working nodes.

Dragana Bajovic, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic

CoRR, 2017

2016

Distributed Gradient Methods with Variable Number of Working Nodes.

Dusan Jakovetic, Dragana Bajovic, Natasa Krejic, Natasa Krklec Jerinkic

IEEE Trans. Signal Process., 2016

Inexact Restoration approach for minimization with inexact evaluation of the objective function.

Natasa Krejic, José Mario Martínez

Math. Comput., 2016

Distributed first and second order methods with increasing number of working nodes.

Dusan Jakovetic, Natasa Krklec Jerinkic, Natasa Krejic, Dragana Bajovic

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

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

A nonmonotone line search method for noisy minimization.

Natasa Krejic, Zorana Luzanin, Filip Nikolovski, Irena Stojkovska

Optim. Lett., 2015

Nonmonotone line search methods with variable sample size.

Natasa Krejic, Natasa Krklec Jerinkic

Numer. Algorithms, 2015

Optimal trading of algorithmic orders in a liquidity fragmented market place.

Miles Kumaresan, Natasa Krejic

Ann. Oper. Res., 2015

2013

Line search methods with variable sample size for unconstrained optimization.

Natasa Krejic, Natasa Krklec

J. Comput. Appl. Math., 2013

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

VaR optimal portfolio with transaction costs.

Natasa Krejic, Miles Kumaresan, Andrea Roznjik

Appl. Math. Comput., 2011

2010

Practical Quasi-Newton algorithms for singular nonlinear systems.

Sandra Buhmiler, Natasa Krejic, Zorana Luzanin

Numer. Algorithms, 2010

A model for optimal execution of atomic orders.

Miles Kumaresan, Natasa Krejic

Comput. Optim. Appl., 2010

2009

Gauss-Newton-based BFGS method with filter for unconstrained minimization.

Natasa Krejic, Zorana Luzanin, Irena Stojkovska

Appl. Math. Comput., 2009

2008

Globally convergent Jacobian smoothing inexact Newton methods for NCP.

Natasa Krejic, Sanja Rapajic

Comput. Optim. Appl., 2008

2007

Newton-like method for nonlinear banded block diagonal system.

Natasa Krejic, Zorana Luzanin, Ivana Radeka

Appl. Math. Comput., 2007

2006

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

2003

Globally Convergent Inexact Quasi-Newton Methods for Solving Nonlinear Systems.

Ernesto G. Birgin, Natasa Krejic, José Mario Martínez

Numer. Algorithms, 2003

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

2002

Newton-like method with modification of the right-hand-side vector.

Natasa Krejic, Zorana Luzanin

Math. Comput., 2002

2000

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