Geovani Nunes Grapiglia

27 papers Journal 27
YearRankTypeTitle / Venue / Authors
2026 J jnl
A non-monotone line-search method for minimizing functions with spurious local minima.
Oper. Res. Lett.
Zohre Aminifard, Geovani Nunes Grapiglia
2026 J jnl
Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients.
J. Optim. Theory Appl.
Geovani Nunes Grapiglia, Daniel McKenzie
2025 J jnl
First and Zeroth-Order Implementations of the Regularized Newton Method with Lazy Approximated Hessians.
J. Sci. Comput.
Nikita Doikov, Geovani Nunes Grapiglia
2025 J jnl
TRFD: A Derivative-Free Trust-Region Method Based on Finite Differences for Composite Nonsmooth Optimization.
SIAM J. Optim.
D. Davar, Geovani Nunes Grapiglia
2025 J jnl
Universal nonmonotone line search method for nonconvex multiobjective optimization problems with convex constraints.
Comput. Appl. Math.
Maria Eduarda Pinheiro, Geovani Nunes Grapiglia
2024 J jnl
Worst-case evaluation complexity of a derivative-free quadratic regularization method.
Optim. Lett.
Geovani Nunes Grapiglia
2023 J jnl
A subgradient method with non-monotone line search.
Comput. Optim. Appl.
Orizon Pereira Ferreira, Geovani Nunes Grapiglia, Elianderson M. Santos, João Carlos de Oliveira Souza
2023 J jnl
Adaptive Third-Order Methods for Composite Convex Optimization.
SIAM J. Optim.
Geovani Nunes Grapiglia, Yurii E. Nesterov
2023 J jnl
An Adaptive Riemannian Gradient Method Without Function Evaluations.
J. Optim. Theory Appl.
Geovani Nunes Grapiglia, Gabriel F. D. Stella
2023 J jnl
First and zeroth-order implementations of the regularized Newton method with lazy approximated Hessians.
CoRR
Nikita Doikov, Geovani Nunes Grapiglia
2023 J jnl
Quadratic regularization methods with finite-difference gradient approximations.
Comput. Optim. Appl.
Geovani Nunes Grapiglia
2023 J jnl
Worst-case evaluation complexity of a quadratic penalty method for nonconvex optimization.
Optim. Methods Softw.
Geovani Nunes Grapiglia
2022 J jnl
A cubic regularization of Newton's method with finite difference Hessian approximations.
Numer. Algorithms
Geovani Nunes Grapiglia, Max L. N. Gonçalves, G. N. Silva
2022 J jnl
An adaptive trust-region method without function evaluations.
Comput. Optim. Appl.
Geovani Nunes Grapiglia, Gabriel F. D. Stella
2022 J jnl
Tensor methods for finding approximate stationary points of convex functions.
Optim. Methods Softw.
Geovani Nunes Grapiglia, Yurii E. Nesterov
2021 J jnl
A generalized worst-case complexity analysis for non-monotone line searches.
Numer. Algorithms
Geovani Nunes Grapiglia, Ekkehard W. Sachs
2021 J jnl
On inexact solution of auxiliary problems in tensor methods for convex optimization.
Optim. Methods Softw.
Geovani Nunes Grapiglia, Yurii E. Nesterov
2021 J jnl
Worst-case evaluation complexity of derivative-free nonmonotone line search methods for solving nonlinear systems of equations.
Comput. Appl. Math.
Geovani Nunes Grapiglia, Flávia Chorobura
2020 J jnl
A subspace version of the Wang-Yuan Augmented Lagrangian-Trust Region method for equality constrained optimization.
Appl. Math. Comput.
Carina Moreira Costa, Geovani Nunes Grapiglia
2020 J jnl
Tensor Methods for Minimizing Convex Functions with Hölder Continuous Higher-Order Derivatives.
SIAM J. Optim.
Geovani Nunes Grapiglia, Yurii E. Nesterov
2019 J jnl
Accelerated Regularized Newton Methods for Minimizing Composite Convex Functions.
SIAM J. Optim.
Geovani Nunes Grapiglia, Yurii E. Nesterov
2019 J jnl
Improved optimization methods for image registration problems.
Numer. Algorithms
Ke Chen, Geovani Nunes Grapiglia, Jinyun Yuan, Daoping Zhang
2017 J jnl
On the worst-case evaluation complexity of non-monotone line search algorithms.
Comput. Optim. Appl.
Geovani Nunes Grapiglia, Ekkehard W. Sachs
2017 J jnl
Regularized Newton Methods for Minimizing Functions with Hölder Continuous Hessians.
SIAM J. Optim.
Geovani Nunes Grapiglia, Yurii E. Nesterov
2016 J jnl
Nonlinear Stepsize Control Algorithms: Complexity Bounds for First- and Second-Order Optimality.
J. Optim. Theory Appl.
Geovani Nunes Grapiglia, Jin Yun Yuan, Ya-Xiang Yuan
2016 J jnl
On the worst-case complexity of nonlinear stepsize control algorithms for convex unconstrained optimization.
Optim. Methods Softw.
Geovani Nunes Grapiglia, Jin Yun Yuan, Ya-Xiang Yuan
2015 J jnl
On the convergence and worst-case complexity of trust-region and regularization methods for unconstrained optimization.
Math. Program.
Geovani Nunes Grapiglia, Jin Yun Yuan, Ya-Xiang Yuan