João Carlos de Oliveira Souza

Orcid: 0000-0003-4053-8211

According to our database1, João Carlos de Oliveira Souza authored at least 23 papers between 2015 and 2026.

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

Timeline

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Bibliography

2026
The proximal point method for sum of DC functions in Hadamard manifolds.
Comput. Appl. Math., May, 2026

An Inexact Boosted Difference of Convex Algorithm for Nondifferentiable Functions.
J. Optim. Theory Appl., February, 2026

2025
A Progressive Decoupling Algorithm for Minimizing the Difference of Convex and Weakly Convex Functions.
J. Optim. Theory Appl., March, 2025

A non-monotone proximal point method for image reconstruction using non-convex total variation models.
Comput. Electr. Eng., 2025

2024
A boosted DC algorithm for non-differentiable DC components with non-monotone line search.
Comput. Optim. Appl., July, 2024

On inexact versions of a quasi-equilibrium problem: a Cournot duopoly perspective.
J. Glob. Optim., May, 2024

The Difference of Convex Algorithm on Hadamard Manifolds.
J. Optim. Theory Appl., April, 2024

On the Relationship Between the Kurdyka-Łojasiewicz Property and Error Bounds on Hadamard Manifolds.
J. Optim. Theory Appl., 2024

Image denoising with a non-monotone boosted DCA for non-convex models.
Comput. Electr. Eng., 2024

Image Denoising with Non-Convex Models: A Comparison Between BDCA and nmBDCA.
Proceedings of the 37th SIBGRAPI Conference on Graphics, Patterns and Images, 2024

2023
An inertial proximal point method for difference of maximal monotone vector fields in Hadamard manifolds.
J. Glob. Optim., April, 2023

A subgradient method with non-monotone line search.
Comput. Optim. Appl., March, 2023

2022
Abstract regularized equilibria: application to Becker's household behavior theory.
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

A modified proximal point method for DC functions on Hadamard manifolds.
Comput. Optim. Appl., 2020

A generalized proximal linearized algorithm for DC functions with application to the optimal size of the firm problem.
Ann. Oper. Res., 2020

2019
On a Bregman regularized proximal point method for solving equilibrium problems.
Optim. Lett., 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 Methods for Lipschitz Functions on Hadamard Manifolds: Scalar and Vectorial Cases.
J. Optim. Theory Appl., 2018

On maximal monotonicity of bifunctions on Hadamard manifolds.
J. Glob. Optim., 2018

2016
Global convergence of a proximal linearized algorithm for difference of convex functions.
Optim. Lett., 2016

2015
A proximal point algorithm for DC fuctions on Hadamard manifolds.
J. Glob. Optim., 2015


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