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Geovani Nunes Grapiglia
Geovani Nunes Grapiglia
ICTEAM, UCLouvain
Verified email at uclouvain.be
Title
Cited by
Cited by
Year
Regularized Newton methods for minimizing functions with Hölder continuous Hessians
GN Grapiglia, Y Nesterov
SIAM Journal on Optimization 27 (1), 478-506, 2017
78*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
722015
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
482020
Accelerated regularized Newton methods for minimizing composite convex functions
GN Grapiglia, Y Nesterov
SIAM Journal on Optimization 29 (1), 77-99, 2019
422019
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
362021
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
352021
On the worst-case evaluation complexity of non-monotone line search algorithms
GN Grapiglia, EW Sachs
Computational Optimization and applications 68, 555-577, 2017
302017
A derivative-free trust-region algorithm for composite nonsmooth optimization
GN Grapiglia, J Yuan, Y Yuan
Computational and Applied Mathematics 35, 475-499, 2016
302016
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
282016
Tensor methods for finding approximate stationary points of convex functions
GN Grapiglia, Y Nesterov
Optimization Methods and Software 37 (2), 605-638, 2022
252022
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
132013
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
122016
Improved optimization methods for image registration problems
K Chen, GN Grapiglia, J Yuan, D Zhang
Numerical Algorithms 80, 305-336, 2019
102019
A cubic regularization of Newton’s method with finite difference Hessian approximations
GN Grapiglia, MLN Gonçalves, GN Silva
Numerical Algorithms, 1-24, 2022
82022
An adaptive trust-region method without function evaluations
GN Grapiglia, GFD Stella
Computational Optimization and Applications 82 (1), 31-60, 2022
82022
Quadratic regularization methods with finite-difference gradient approximations
GN Grapiglia
Computational Optimization and Applications 85 (3), 683-703, 2023
62023
A generalized worst-case complexity analysis for non-monotone line searches
GN Grapiglia, EW Sachs
Numerical Algorithms 87, 779-796, 2021
62021
Adaptive third-order methods for composite convex optimization
GN Grapiglia, Y Nesterov
SIAM Journal on Optimization 33 (3), 1855-1883, 2023
52023
Worst-case evaluation complexity of a derivative-free quadratic regularization method
GN Grapiglia
Optimization Letters 18 (1), 195-213, 2024
32024
First and zeroth-order implementations of the regularized Newton method with lazy approximated Hessians
N Doikov, GN Grapiglia
arXiv preprint arXiv:2309.02412, 2023
22023
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