Follow
Geovani Nunes Grapiglia
Geovani Nunes Grapiglia
ICTEAM, UCLouvain
Verified email at uclouvain.be
Title
Cited by
Cited by
Year
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
592015
Regularized Newton methods for minimizing functions with Hölder continuous Hessians
GN Grapiglia, Y Nesterov
SIAM Journal on Optimization 27 (1), 478-506, 2017
572017
Accelerated regularized Newton methods for minimizing composite convex functions
GN Grapiglia, Y Nesterov
SIAM Journal on Optimization 29 (1), 77-99, 2019
292019
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
242016
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
242016
Tensor Methods for Minimizing Functions with Hölder Continuous Higher-Order Derivatives
GN Grapiglia, Y Nesterov
232019
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
202021
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
172021
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
172017
Tensor methods for finding approximate stationary points of convex functions
GN Grapiglia, Y Nesterov
Optimization Methods and Software, 1-34, 2020
162020
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
122013
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
102020
Improved optimization methods for image registration problems
K Chen, GN Grapiglia, J Yuan, D Zhang
Numerical Algorithms 80 (2), 305-336, 2019
82019
Globally Convergent Second-order Schemes for Minimizing Twice-differentiable Functions
GN Grapiglia, Y Nesterov
LIDAM Discussion Papers CORE, 2016
82016
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
82016
An adaptive trust-region method without function evaluations
GN Grapiglia, GFD Stella
Computational Optimization and Applications 82 (1), 31-60, 2022
32022
A generalized worst-case complexity analysis for non-monotone line searches
GN Grapiglia, EW Sachs
Numerical Algorithms 87 (2), 779-796, 2021
32021
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
32016
Três contribuições em otimização não-linear e não-convexa
GN Grapiglia
2
Quadratic regularization methods with finite-difference gradient approximations
GN Grapiglia
Computational Optimization and Applications, 1-21, 2022
12022
The system can't perform the operation now. Try again later.
Articles 1–20