Glaydston de Carvalho Bento

Orcid: 0000-0001-6983-4132

Affiliations:
  • Universidade Federal de Goiás, Brazil


According to our database1, Glaydston de Carvalho Bento authored at least 25 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

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Bibliography

2024
A New Approach About Equilibrium Problems via Busemann Functions.
J. Optim. Theory Appl., January, 2024

2022
Combinatorial Convexity in Hadamard Manifolds: Existence for Equilibrium Problems.
J. Optim. Theory Appl., 2022

A new regularization of equilibrium problems on Hadamard manifolds: applications to theories of desires.
Ann. Oper. Res., 2022

Pareto solutions as limits of collective traps: an inexact multiobjective proximal point algorithm.
Ann. Oper. Res., 2022

2020
A proximal point method for difference of convex functions in multi-objective optimization with application to group dynamic problems.
Comput. Optim. Appl., 2020

2019
Computing Riemannian Center of Mass on Hadamard Manifolds.
J. Optim. Theory Appl., 2019

2018
The Proximal Point Method for Locally Lipschitz Functions in Multiobjective Optimization with Application to the Compromise Problem.
SIAM J. Optim., 2018

Proximal point method for vector optimization on Hadamard manifolds.
Oper. Res. Lett., 2018

A weighting subgradient algorithm for multiobjective optimization.
Optim. Lett., 2018

Proximal point method for a special class of nonconvex multiobjective optimization functions.
Optim. Lett., 2018

Proximal Point Method for Locally Lipschitz Functions in Multiobjective Optimization of Hadamard Manifolds.
J. Optim. Theory Appl., 2018

Inexact Multi-Objective Local Search Proximal Algorithms: Application to Group Dynamic and Distributive Justice Problems.
J. Optim. Theory Appl., 2018

A Newton-Like Method for Variable Order Vector Optimization Problems.
J. Optim. Theory Appl., 2018

2017
Iteration-Complexity of Gradient, Subgradient and Proximal Point Methods on Riemannian Manifolds.
J. Optim. Theory Appl., 2017

2016
Generalized Proximal Distances for Bilevel Equilibrium Problems.
SIAM J. Optim., 2016

Dual Descent Methods as Tension Reduction Systems.
J. Optim. Theory Appl., 2016

A New Approach to the Proximal Point Method: Convergence on General Riemannian Manifolds.
J. Optim. Theory Appl., 2016

Enlargement of Monotone Vector Fields and an Inexact Proximal Point Method for Variational Inequalities in Hadamard Manifolds.
J. Optim. Theory Appl., 2016

2015
Generalized Inexact Proximal Algorithms: Routine's Formation with Resistance to Change, Following Worthwhile Changes.
J. Optim. Theory Appl., 2015

An Existence Result for the Generalized Vector Equilibrium Problem on Hadamard Manifolds.
J. Optim. Theory Appl., 2015

2014
The self regulation problem as an inexact steepest descent method for multicriteria optimization.
Eur. J. Oper. Res., 2014

2013
An Inexact Steepest Descent Method for Multicriteria Optimization on Riemannian Manifolds.
J. Optim. Theory Appl., 2013

A Subgradient Method for Multiobjective Optimization on Riemannian Manifolds.
J. Optim. Theory Appl., 2013

2012
Subgradient Method for Convex Feasibility on Riemannian Manifolds.
J. Optim. Theory Appl., 2012

Unconstrained Steepest Descent Method for Multicriteria Optimization on Riemannian Manifolds.
J. Optim. Theory Appl., 2012


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