| Regularized Newton methods for minimizing functions with Hölder continuous Hessians GN Grapiglia, Y Nesterov SIAM Journal on Optimization 27 (1), 478-506, 2017 | 97* | 2017 |
| On the convergence and worst-case complexity of trust-region and regularization methods for unconstrained optimization GN Grapiglia, J Yuan, Y Yuan Mathematical Programming 152, 491-520, 2015 | 81 | 2015 |
| Tensor methods for minimizing convex functions with Hölder continuous higher-order derivatives GN Grapiglia, Y Nesterov SIAM Journal on Optimization 30 (4), 2750-2779, 2020 | 54 | 2020 |
| Accelerated regularized Newton methods for minimizing composite convex functions GN Grapiglia, Y Nesterov SIAM Journal on Optimization 29 (1), 77-99, 2019 | 48 | 2019 |
| On the complexity of an augmented Lagrangian method for nonconvex optimization GN Grapiglia, Y Yuan IMA Journal of Numerical Analysis 41 (2), 1546-1568, 2021 | 45 | 2021 |
| On inexact solution of auxiliary problems in tensor methods for convex optimization GN Grapiglia, Y Nesterov Optimization Methods and Software 36 (1), 145-170, 2021 | 35 | 2021 |
| Nonlinear stepsize control algorithms: Complexity bounds for first-and second-order optimality GN Grapiglia, J Yuan, Y Yuan Journal of Optimization Theory and Applications 171, 980-997, 2016 | 35 | 2016 |
| On the worst-case evaluation complexity of non-monotone line search algorithms GN Grapiglia, EW Sachs Computational Optimization and applications 68, 555-577, 2017 | 33 | 2017 |
| A derivative-free trust-region algorithm for composite nonsmooth optimization GN Grapiglia, J Yuan, Y Yuan Computational and Applied Mathematics 35, 475-499, 2016 | 33 | 2016 |
| Tensor methods for finding approximate stationary points of convex functions GN Grapiglia, Y Nesterov Optimization Methods and Software 37 (2), 605-638, 2022 | 30 | 2022 |
| An adaptive trust-region method without function evaluations GN Grapiglia, GFD Stella Computational Optimization and Applications 82 (1), 31-60, 2022 | 16 | 2022 |
| A subspace version of the Powell–Yuan trust-region algorithm for equality constrained optimization GN Grapiglia, J Yuan, Y Yuan Journal of the Operations Research Society of China 1, 425-451, 2013 | 16 | 2013 |
| A cubic regularization of Newton’s method with finite difference Hessian approximations GN Grapiglia, MLN Gonçalves, GN Silva Numerical Algorithms, 1-24, 2022 | 12 | 2022 |
| On the worst-case complexity of nonlinear stepsize control algorithms for convex unconstrained optimization GN Grapiglia, J Yuan, Y Yuan Optimization Methods and Software 31 (3), 591-604, 2016 | 12 | 2016 |
| Quadratic regularization methods with finite-difference gradient approximations GN Grapiglia Computational Optimization and Applications 85 (3), 683-703, 2023 | 10 | 2023 |
| Improved optimization methods for image registration problems K Chen, GN Grapiglia, J Yuan, D Zhang Numerical Algorithms 80, 305-336, 2019 | 10 | 2019 |
| Adaptive third-order methods for composite convex optimization GN Grapiglia, Y Nesterov SIAM Journal on Optimization 33 (3), 1855-1883, 2023 | 9 | 2023 |
| A generalized worst-case complexity analysis for non-monotone line searches GN Grapiglia, EW Sachs Numerical Algorithms 87, 779-796, 2021 | 9 | 2021 |
| Worst-case evaluation complexity of a derivative-free quadratic regularization method GN Grapiglia Optimization Letters 18 (1), 195-213, 2024 | 6 | 2024 |
| First and zeroth-order implementations of the regularized Newton method with lazy approximated Hessians N Doikov, GN Grapiglia arXiv preprint arXiv:2309.02412, 2023 | 4 | 2023 |
Yurii NesterovResearch Professor at Corvinus University of Budapest, Emeritus Profesor at UCLouvain確認したメール アドレス: uclouvain.be