Publications

Por Jefferson G. Melo
PRE-PRINTS           (Google Scholar citation)   (ResearchGate Profile)
If you find problem downloading the pdf files, please feel free to contact me: jefferson@ufg.br. 
1. Iteration-complexity of a Linearized Proximal Multiblock ADMM Class for Linearly Constrained Nonconvex Optimization Problems (Technical Report-2017: PDF).
(Co-authored by Renato D. C. Monteiro) 
2. Iteration-Complexity of a Jacobi-type non-Euclidean ADMM for multi-block linearly constrained nonconvex programs (Technical Report-2017: PDF).
(Co-authored by Renato D. C. Monteiro) 
PUBLISHED PAPERS
(Co-authored by  WeiWei Kong  and Renato D. C. Monteiro)
(Co-authored by   Renato D. C. Monteiro and Hairong Wang)
23.  Projection-free accelerated method for convex optimization.Optimization methods and software, Optimization Methods and Softwares, v. 37, p. 214-240, 2022..
(Co-authored by  Max L. N. Gonçalves  and Renato D. C. Monteiro) 
22. A Strongly Convergent Proximal Point Method for Vector Optimization. Journal of Optimization Theory and applications, v. 190, p. 183-200, 2021.
(Co-authored by Alfredo Noel Iusem and Ray V.G. Serra) 
21. Relative-error inertial-relaxed inexact versions of Douglas-Rachford and ADMM splitting algorithms. Computational Optimization and Applications, v. 75, p. 389-422, 2020.
(Co-authored by  Maicon Marques Alves, Jonathan Eckstein  and  Marina Geremia) 
(Co-authored by  WeiWei Kong  and Renato D. C. Monteiro) 
19. An inexact proximal generalized alternating direction method of multipliers. Computational Optimization and Applications, v. 76, p. 621-647, 2020.
(Co-authored by Vando A. Adona and Max L. N. Gonçalves) 
(Co-authored by Yunier Bello-Cruz and Ray V.G. Serra) 
17. A Partially Inexact Proximal Alternating Direction Method of Multipliers and Its Iteration-Complexity Analysis. Journal of Optimization and Applications, v. 182, p. 640-666, 2019.
(Co-authored by Vando A. Adona and Max L. N. Gonçalves) 
16. Convergence rate bounds for a proximal ADMM with over-relaxation stepsize parameter for solving non-convex linearly constrained problems. Pacific Journal of Optimization, v. 15, p.  379-392, 2019.
(Co-authored by  Max L. N. Gonçalves  and Renato D. C. Monteiro) 
(Co-authored by  WeiWei Kong  and Renato D. C. Monteiro) 
(Co-authored by Max L. N. Goncalves and Renato D. C. Monteiro) 
13. Iteration-complexity analysis of a generalized alternating direction method of multipliers. Journal of Global Optimization, v. 73, p. 331-348, 2019.
(Co-authored by Vando A. Adona and Max L. N. Gonçalves) 
12. Pointwise and Ergodic Convergence Rates of a Variable Metric Proximal Alternating Direction Method of Multipliers. Journal of Optimization Theory and Applications, v. 177, p. 448478, 2018.
(Co-authored by Maicon Marques Alves  and Max L. N. Gonçalves) 
(Co-authored by Max L. N. Goncalves and Renato D. C. Monteiro) 
10.  Iteration-Complexity of Gradient, Subgradient and Proximal Point Methods on Riemannian Manifolds. Journal of Optimization Theory and Applications, v. 175, p. 1-15, 2017. Technical Report (PDF)
(Co-authored by  Glaydston C. Bento and  Orizon P. Ferreira)
9.  A Newton conditional gradient method for constrained nonlinear systems. Journal of Computational and Applied Mathematics, v. 311, p. 473-483, 2016.  Technical Report (PDF)
(Co-authored by Max L. N. Goncalves) 
(Co-authored by Max L. N. Goncalves and Leandro F. Prudente) 
(Co-authored by Regina S. Burachik and Alfredo N. Iusem) 
6.  Strong Convergence in Hilbert Spaces via Gamma-Duality. Journal of Optimization Theory and Applications, v. 158, p. 343-362, 2013.
(Co-authored by Maicon Marques Alves)  
5. Subgradient Method for Convex Feasibility on Riemannian Manifolds. Journal of Optimization Theory and Applications, v. 152, p. 773-785, 2012.
(Co-authored by  Glaydston C. Bento)
4.  An Inexact Modified Subgradient Algorithm for Primal-Dual Problems via Augmented Lagrangians. Journal of Optimization Theory and Applications, v. 157, p. 108-131, 2012.
(Co-authored by Regina S. Burachik and Alfredo N. Iusem) 
(Co-authored by Jose Y. Bello-Cruz and Luis R. L. Perez) 
2.  Duality and Exact Penalization for General Augmented Lagrangians. Journal of Optimization Theory and Applications, v. 147, p. 125-140, 2010.
(Co-authored by Regina S. Burachik and Alfredo N. Iusem) 
1. A primal dual modified subgradient algorithm with sharp Lagrangian. Journal of Global Optimization, v. 46, p. 347-361, 2010.
(Co-authored by Regina S. Burachik and Alfredo N. Iusem)