Geovani Nunes Grapiglia
Geovani Nunes Grapiglia
Department of Mathematics, Federal University of Paraná
Verifierad e-postadress på ufpr.br
TitelCiteras avÅr
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 (1-2), 491-520, 2015
482015
Regularized Newton methods for minimizing functions with Hölder continuous Hessians
GN Grapiglia, Y Nesterov
SIAM Journal on Optimization 27 (1), 478-506, 2017
402017
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
192016
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
162016
Tensor Methods for Minimizing Functions with H\"{o} lder Continuous Higher-Order Derivatives
GN Grapiglia, Y Nesterov
arXiv preprint arXiv:1904.12559, 2019
122019
Accelerated regularized Newton methods for minimizing composite convex functions
GN Grapiglia, Y Nesterov
SIAM Journal on Optimization 29 (1), 77-99, 2019
112019
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
102013
Globally Convergent Second-order Schemes for Minimizing Twice-differentiable Functions
GN Grapiglia, Y Nesterov
CORE Discussion Papers, 2016
72016
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
62016
On inexact solution of auxiliary problems in tensor methods for convex optimization
GN Grapiglia, Y Nesterov
arXiv preprint arXiv:1907.13023, 2019
42019
Tensor methods for finding approximate stationary points of convex functions
GN Grapiglia, Y Nesterov
arXiv preprint arXiv:1907.07053, 2019
42019
On the complexity of an augmented lagrangian method for nonconvex optimization
GN Grapiglia, Y Yuan
arXiv preprint arXiv:1906.05622, 2019
42019
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
42017
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
42016
Improved optimization methods for image registration problems
K Chen, GN Grapiglia, J Yuan, D Zhang
Numerical Algorithms 80 (2), 305-336, 2019
22019
Três contribuições em otimização não-linear e não-convexa
GN Grapiglia
22014
ACCELERATING THE UNIVERSAL NEWTON METOD
YE Nesterov, GN Grapiglia
Информационный бюллетень Омского научно-образовательного центра ОмГТУ и ИМ …, 2018
12018
A Generalized Worst-Case Complexity Analysis for Non-Monotone Line Searches
GN Grapiglia, EW Sachs
arXiv preprint arXiv:1911.06072, 2019
2019
A subspace version of the Wang–Yuan Augmented Lagrangian-Trust Region method for equality constrained optimization
CM Costa, GN Grapiglia
Applied Mathematics and Computation, 124861, 2019
2019
Tensor methods for minimizing convex functions with Hölder continuous higher-order derivatives
GN Grapiglia, Y Nesterov
Systemet kan inte utföra åtgärden just nu. Försök igen senare.
Artiklar 1–20