| 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 (1), 491-520, 2015 | 60 | 2015 |
| Regularized Newton methods for minimizing functions with Hölder continuous Hessians GN Grapiglia, Y Nesterov SIAM Journal on Optimization 27 (1), 478-506, 2017 | 58 | 2017 |
| 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 | 34 | 2020 |
| Accelerated regularized Newton methods for minimizing composite convex functions GN Grapiglia, Y Nesterov SIAM Journal on Optimization 29 (1), 77-99, 2019 | 29 | 2019 |
| A derivative-free trust-region algorithm for composite nonsmooth optimization GN Grapiglia, J Yuan, Y Yuan Computational and Applied Mathematics 35 (2), 475-499, 2016 | 26 | 2016 |
| 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 | 24 | 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 (3), 980-997, 2016 | 24 | 2016 |
| 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 | 18 | 2021 |
| On the worst-case evaluation complexity of non-monotone line search algorithms GN Grapiglia, EW Sachs Computational Optimization and applications 68 (3), 555-577, 2017 | 18 | 2017 |
| Tensor methods for finding approximate stationary points of convex functions GN Grapiglia, Y Nesterov Optimization Methods and Software, 1-34, 2020 | 16 | 2020 |
| 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 (4), 425-451, 2013 | 11 | 2013 |
| Improved optimization methods for image registration problems K Chen, GN Grapiglia, J Yuan, D Zhang Numerical Algorithms 80 (2), 305-336, 2019 | 9 | 2019 |
| Globally Convergent Second-order Schemes for Minimizing Twice-differentiable Functions GN Grapiglia, Y Nesterov LIDAM Discussion Papers CORE, 2016 | 8 | 2016 |
| 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 | 8 | 2016 |
| An adaptive trust-region method without function evaluations GN Grapiglia, GFD Stella Computational Optimization and Applications 82 (1), 31-60, 2022 | 4 | 2022 |
| A generalized worst-case complexity analysis for non-monotone line searches GN Grapiglia, EW Sachs Numerical Algorithms 87 (2), 779-796, 2021 | 3 | 2021 |
| Globally convergent second-order schemes for minimizing twicedifferentiable functions Y Nesterov, GN Grapiglia Technical Report CORE Discussion paper 2016/28, CORE, Catholic University of …, 2016 | 3 | 2016 |
| Adaptive third-order methods for composite convex optimization GN Grapiglia, Y Nesterov arXiv preprint arXiv:2202.12730, 2022 | 2 | 2022 |
| Três contribuições em otimização não-linear e não-convexa GN Grapiglia | 2 | |
| A cubic regularization of Newton’s method with finite difference Hessian approximations GN Grapiglia, MLN Gonçalves, GN Silva Numerical Algorithms 90 (2), 607-630, 2022 | 1 | 2022 |
Yurii NesterovProfessor of Université catholique de Louvain (UCL), CORE(IMMAQ) and INMA(ICTEAM, EPL)Verified email at uclouvain.be
