Max L. N. Gonçalves

Orcid: 0000-0001-9563-1101

Affiliations:
  • Federal University of Goiás, Goiânia, Brazil


According to our database1, Max L. N. Gonçalves authored at least 25 papers between 2011 and 2023.

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

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Bibliography

2023
A framework for convex-constrained monotone nonlinear equations and its special cases.
Comput. Appl. Math., October, 2023

An inexact version of the symmetric proximal ADMM for solving separable convex optimization.
Numer. Algorithms, September, 2023

On FISTA with a relative error rule.
Comput. Optim. Appl., March, 2023

2022
Projection-free accelerated method for convex optimization.
Optim. Methods Softw., 2022

A cubic regularization of Newton's method with finite difference Hessian approximations.
Numer. Algorithms, 2022

Globally convergent Newton-type methods for multiobjective optimization.
Comput. Optim. Appl., 2022

A study of Liu-Storey conjugate gradient methods for vector optimization.
Appl. Math. Comput., 2022

2021
An inexact projected LM type algorithm for solving convex constrained nonlinear equations.
J. Comput. Appl. Math., 2021

2020
On the global convergence of an inexact quasi-Newton conditional gradient method for constrained nonlinear systems.
Numer. Algorithms, 2020

Gauss-Newton methods with approximate projections for solving constrained nonlinear least squares problems.
J. Complex., 2020

On the extension of the Hager-Zhang conjugate gradient method for vector optimization.
Comput. Optim. Appl., 2020

An inexact proximal generalized alternating direction method of multipliers.
Comput. Optim. Appl., 2020

2019
A Partially Inexact Proximal Alternating Direction Method of Multipliers and Its Iteration-Complexity Analysis.
J. Optim. Theory Appl., 2019

Iteration-complexity analysis of a generalized alternating direction method of multipliers.
J. Glob. Optim., 2019

2018
Pointwise and Ergodic Convergence Rates of a Variable Metric Proximal Alternating Direction Method of Multipliers.
J. Optim. Theory Appl., 2018

On the pointwise iteration-complexity of a dynamic regularized ADMM with over-relaxation stepsize.
Appl. Math. Comput., 2018

2017
Improved Pointwise Iteration-Complexity of A Regularized ADMM and of a Regularized Non-Euclidean HPE Framework.
SIAM J. Optim., 2017

A Newton conditional gradient method for constrained nonlinear systems.
J. Comput. Appl. Math., 2017

2016
Inexact Gauss-Newton like methods for injective-overdetermined systems of equations under a majorant condition.
Numer. Algorithms, 2016

2015
Augmented Lagrangian methods for nonlinear programming with possible infeasibility.
J. Glob. Optim., 2015

2013
Convergence of the Gauss-Newton Method for Convex Composite Optimization under a Majorant Condition.
SIAM J. Optim., 2013

Local convergence of the Gauss-Newton method for injective-overdetermined systems of equations under a majorant condition.
Comput. Math. Appl., 2013

2012
Local convergence analysis of inexact Gauss-Newton like methods under majorant condition.
J. Comput. Appl. Math., 2012

2011
Local convergence analysis of the Gauss-Newton method under a majorant condition.
J. Complex., 2011

Local convergence analysis of inexact Newton-like methods under majorant condition.
Comput. Optim. Appl., 2011


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