| Globally convergent inexact quasi-Newton methods for solving nonlinear systems EG Birgin, N Krejić, JM Martínez Numerical algorithms 32, 249-260, 2003 | 91 | 2003 |
| Newton-like method with diagonal correction for distributed optimization D Bajovic, D Jakovetic, N Krejic, NK Jerinkic SIAM Journal on Optimization 27 (2), 1171-1203, 2017 | 73 | 2017 |
| Validation of an augmented Lagrangian algorithm with a Gauss-Newton Hessian approximation using a set of hard-spheres problems N Krejić, JM Martínez, M Mello, EA Pilotta Computational Optimization and Applications 16, 247-263, 2000 | 62 | 2000 |
| Nonmonotone line search methods with variable sample size N Krejić, N Krklec Jerinkić Numerical Algorithms 68 (4), 711-739, 2015 | 47 | 2015 |
| VaR optimal portfolio with transaction costs N Krejić, M Kumaresan, A Rožnjik Applied Mathematics and Computation 218 (8), 4626-4637, 2011 | 36 | 2011 |
| An interior-point method for solving box-constrained underdetermined nonlinear systems JB Francisco, N Krejić, JM Martinez Journal of Computational and Applied Mathematics 177 (1), 67-88, 2005 | 35 | 2005 |
| Line search methods with variable sample size for unconstrained optimization N Krejić, N Krklec Journal of Computational and Applied Mathematics 245, 213-231, 2013 | 34 | 2013 |
| Practical quasi-Newton algorithms for singular nonlinear systems S Buhmiler, N Krejić, Z Lužanin Numerical Algorithms 55 (4), 481-502, 2010 | 34 | 2010 |
| Subsampled inexact Newton methods for minimizing large sums of convex functions S Bellavia, N Krejić, N Krklec Jerinkić IMA Journal of Numerical Analysis 40 (4), 2309-2341, 2020 | 31 | 2020 |
| Distributed gradient methods with variable number of working nodes D Jakovetić, D Bajović, N Krejić, NK Jerinkić IEEE Transactions on Signal Processing 64 (15), 4080-4095, 2016 | 31 | 2016 |
| Tax evasion risk management using a Hybrid Unsupervised Outlier Detection method M Savić, J Atanasijević, D Jakovetić, N Krejić Expert Systems with Applications 193, 116409, 2022 | 30 | 2022 |
| Globally convergent Jacobian smoothing inexact Newton methods for NCP N Krejić, S Rapajić Computational Optimization and Applications 41 (2), 243-261, 2008 | 28 | 2008 |
| Newton-like method with modification of the right-hand-side vector N Krejić, Z Lužanin Mathematics of computation 71 (237), 237-250, 2002 | 26 | 2002 |
| Descent direction method with line search for unconstrained optimization in noisy environment N Krejić, Z Lužanin, Z Ovcin, I Stojkovska Optimization Methods and Software 30 (6), 1164-1184, 2015 | 24 | 2015 |
| Inexact restoration approach for minimization with inexact evaluation of the objective function N Krejić, J Martínez Mathematics of Computation 85 (300), 1775-1791, 2016 | 23 | 2016 |
| A new smoothing quasi-Newton method for nonlinear complementarity problems S Buhmiler, N Krejić Journal of Computational and Applied Mathematics 211 (2), 141-155, 2008 | 22 | 2008 |
| Inexact restoration with subsampled trust-region methods for finite-sum minimization S Bellavia, N Krejić, B Morini Computational Optimization and Applications 76, 701-736, 2020 | 21 | 2020 |
| A gradient method for unconstrained optimization in noisy environment N Krejić, Z Lužanin, I Stojkovska Applied Numerical Mathematics 70, 1-21, 2013 | 18 | 2013 |
| On the employment of inexact restoration for the minimization of functions whose evaluation is subject to errors E Birgin, N Krejić, J Martínez Mathematics of Computation 87 (311), 1307-1326, 2018 | 16 | 2018 |
| Iteration and evaluation complexity for the minimization of functions whose computation is intrinsically inexact E Birgin, N Krejić, J Martínez Mathematics of Computation 89 (321), 253-278, 2020 | 15 | 2020 |
