Leandro da Fonseca Prudente

21 papers Journal 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
Global Convergence of an Augmented Lagrangian Method for Nonlinear Programming via Riemannian Optimization.
SIAM J. Optim.
Roberto Andreani, Kelvin R. Couto, Orizon P. Ferreira, Gabriel Haeser, Leandro da Fonseca Prudente
2026 J jnl
The projected gradient direction in vector optimization: continuity and dual characterization.
Comput. Appl. Math.
Nadia S. Fazzio, Leandro da Fonseca Prudente, María Laura Schuverdt
2025 J jnl
A proximal gradient method with an explicit line search for multiobjective optimization.
Comput. Optim. Appl.
José Yunier Bello Cruz, Jefferson G. Melo, Leandro da Fonseca Prudente, Ray G. Serra
2024 J jnl
Global convergence of a BFGS-type algorithm for nonconvex multiobjective optimization problems.
Comput. Optim. Appl.
Leandro da Fonseca Prudente, Danilo Rodrigues Souza
2023 J jnl
Inexact gradient projection method with relative error tolerance.
Comput. Optim. Appl.
Ademir Alves Aguiar, Orizon Pereira Ferreira, Leandro da Fonseca Prudente
2022 J jnl
A Quasi-Newton Method with Wolfe Line Searches for Multiobjective Optimization.
J. Optim. Theory Appl.
Leandro da Fonseca Prudente, Danilo Rodrigues Souza
2022 J jnl
A study of Liu-Storey conjugate gradient methods for vector optimization.
Appl. Math. Comput.
Max L. N. Gonçalves, Fernando S. Lima, Leandro da Fonseca Prudente
2022 J jnl
Globally convergent Newton-type methods for multiobjective optimization.
Comput. Optim. Appl.
Max L. N. Gonçalves, Fernando S. Lima, Leandro da Fonseca Prudente
2022 J jnl
On the inexact scaled gradient projection method.
Comput. Optim. Appl.
Orizon Pereira Ferreira, Max Lemes, Leandro da Fonseca Prudente
2021 J jnl
Alternating conditional gradient method for convex feasibility problems.
Comput. Optim. Appl.
R. Díaz Millán, Orizon P. Ferreira, Leandro da Fonseca Prudente
2021 J jnl
Conditional gradient method for multiobjective optimization.
Comput. Optim. Appl.
P. B. Assunção, Orizon Pereira Ferreira, Leandro da Fonseca Prudente
2020 J jnl
Iteration-Complexity and Asymptotic Analysis of Steepest Descent Method for Multiobjective Optimization on Riemannian Manifolds.
J. Optim. Theory Appl.
Orizon P. Ferreira, Maurício Silva Louzeiro, Leandro da Fonseca Prudente
2020 J jnl
On the extension of the Hager-Zhang conjugate gradient method for vector optimization.
Comput. Optim. Appl.
Max L. N. Gonçalves, Leandro da Fonseca Prudente
2019 J jnl
A Wolfe Line Search Algorithm for Vector Optimization.
ACM Trans. Math. Softw.
L. R. Lucambio Pérez, Leandro da Fonseca Prudente
2019 J jnl
Gradient Method for Optimization on Riemannian Manifolds with Lower Bounded Curvature.
SIAM J. Optim.
Orizon P. Ferreira, Maurício Silva Louzeiro, Leandro da Fonseca Prudente
2018 J jnl
Nonlinear Conjugate Gradient Methods for Vector Optimization.
SIAM J. Optim.
L. R. Lucambio Pérez, Leandro da Fonseca Prudente
2016 J jnl
On the global convergence of the inexact semi-smooth Newton method for absolute value equation.
Comput. Optim. Appl.
José Yunier Bello Cruz, Orizon Pereira Ferreira, Leandro da Fonseca Prudente
2015 J jnl
Augmented Lagrangian methods for nonlinear programming with possible infeasibility.
J. Glob. Optim.
Max L. N. Gonçalves, Jefferson G. Melo, Leandro da Fonseca Prudente
2015 J jnl
Optimality properties of an Augmented Lagrangian method on infeasible problems.
Comput. Optim. Appl.
Ernesto G. Birgin, José Mario Martínez, Leandro da Fonseca Prudente
2014 J jnl
Augmented Lagrangians with possible infeasibility and finite termination for global nonlinear programming.
J. Glob. Optim.
Ernesto G. Birgin, José Mario Martínez, Leandro da Fonseca Prudente
2012 J jnl
Handling infeasibility in a large-scale nonlinear optimization algorithm.
Numer. Algorithms
José Mario Martínez, Leandro da Fonseca Prudente