Max L. N. Gonçalves
Orcid: 0000-0001-9563-1101Affiliations:
- Federal University of Goiás, Goiânia, Brazil
According to our database1,
Max L. N. Gonçalves
authored at least 26 papers
between 2011 and 2024.
Collaborative distances:
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Bibliography
2024
Comput. Optim. Appl., July, 2024
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
2022
Optim. Methods Softw., 2022
A cubic regularization of Newton's method with finite difference Hessian approximations.
Numer. Algorithms, 2022
Comput. Optim. Appl., 2022
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
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
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
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
J. Complex., 2011
Comput. Optim. Appl., 2011