1. R. Andreani, K. R. Couto, O. P. Ferreira, G. Haeser, and L. F. Prudente, Global convergence of an augmented Lagrangian method for nonlinear programming via Riemannian optimization, submitted, 2024. [Codes]
2. Y. Bello Cruz, J. G. Melo, L. F. Prudente, and R. V. G. Serra, A proximal gradient method with an explicit line search for multiobjective optimization, submitted, 2024. [Codes]
3. L. F. Prudente and D. R. Souza, Global convergence of a BFGS-type algorithm for nonconvex multiobjective optimization problems, Computational Optimization and Applications 88(3), pp. 719-757, 2024. [PDF - Codes]
4. P. B. Assunção, O. P. Ferreira, and L. F. Prudente, A generalized conditional gradient method for multiobjective composite optimization problems, Optimization, pp. 1-31, 2023. [PDF - Codes]
5. A. A. Aguiar, O. P. Ferreira, and L. F. Prudente, Inexact gradient projection method with relative error tolerance, Computational Optimization and Applications 84(2), pp. 363-395, 2023. [PDF - Codes]
6. M. L. N. Gonçalves, F. S. Lima, and L. F. Prudente, Globally convergent Newton-type methods for multiobjective optimization, Computational Optimization and Applications 83(2), pp. 403-434, 2022. [PDF - Codes]
   
7. L. F. Prudente and D. R. Souza, A quasi-Newton method with Wolfe line searches for multiobjective optimization, Journal of Optimization Theory and Applications 194, pp. 1107-1140, 2022. [PDF - Codes]
8. M. L. N. Gonçalves, F. S. Lima, and L. F. Prudente, A study of Liu-Storey conjugate gradient methods for vector optimization, Applied Mathematics and Computation 425, pp. 127099, 2022. [PDF]
9. O. P. Ferreira, M. V. Lemes, and L. F. Prudente, On the inexact scaled gradient projection method, Computational Optimization and Applications 81(1), pp. 91-125, 2022. [PDF - Codes]
10. A. A. Aguiar, O. P. Ferreira, and L. F. Prudente, Subgradient method with feasible inexact projections for constrained convex optimization problems, Optimization 71(12), pp. 3515-3537, 2022. [PDF - Codes]
11. R. Díaz Millán, O. P. Ferreira, and L. F. Prudente, Alternating conditional gradient method for convex feasibility problems, Computational Optimization and Applications 80(1), pp. 245-269, 2021. [PDF - Codes]
12. P. B. Assunção, O. P. Ferreira, and L. F. Prudente, Conditional gradient method for multiobjective optimization, Computational Optimization and Applications 78(3), pp. 741-768, 2021. [PDF - Codes]
13. M. L. N. Gonçalves and L. F. Prudente, On the extension of the Hager-Zhang conjugate gradient method for vector optimization, Computational Optimization and Applications 76(3), pp. 889-916, 2020. [PDF - Codes]
14. O. P. Ferreira, M. S. Louzeiro, and L. F. Prudente, Iteration-complexity and asymptotic analysis of steepest descent method for multiobjective optimization on Riemannian manifolds, Journal of Optimization Theory and Applications 184, pp. 507-533, 2020. [PDF - Codes]
15. L. R. Lucambio Pérez and L. F. Prudente, A Wolfe line search algorithm for vector optimization, ACM Transactions on Mathematical Software 45(4), pp. 37:1-23, 2019. [PDF - Codes]
16. O. P. Ferreira, M. S. Louzeiro, and L. F. Prudente, Gradient Method for Optimization on Riemannian Manifolds with Lower Bounded Curvature, SIAM Journal on Optimization 29(4), pp. 2517-2541, 2019. [PDF - Codes]
17. O. P. Ferreira, M. S. Louzeiro, and L. F. Prudente, Iteration-Complexity of the Subgradient Method on Riemannian Manifolds with Lower Bounded Curvature, Optimization 68(4), pp. 713-729, 2019. [PDF]
18. L. R. Lucambio Pérez and L. F. Prudente, Nonlinear Conjugate Gradient Methods for Vector Optimization, SIAM Journal on Optimization 28(3), pp. 2690-2720, 2018. [PDF - Codes] 
19. J. Y. Bello Cruz, O. P. Ferreira, S. Z. Németh, and L. F. Prudente, A semi-smooth Newton method for projection equations and linear complementarity problems with respect to the second order cone, Linear Algebra and its Applications 513, pp. 160-181, 2017. [PDF - Codes]
20. J. Y. Bello Cruz, O. P. Ferreira, and L. F. Prudente, On the global convergence of the inexact semi-smooth Newton method for absolute value equation, Computational Optimization and Applications 65(1), pp. 93-108, 2016. [PDF - Codes]
21. M. L. N. Gonçalves, J. G. Melo, and L. F. Prudente, Augmented Lagrangian methods for nonlinear programming with possible infeasibility, Journal of Global Optimization 63(2), pp. 297-318, 2015. [PDF]
22. E. G. Birgin, J. M. Martínez, and L. F. Prudente, Optimality properties of an augmented Lagrangian method on infeasible problems, Computational Optimization and Applications 60(3), pp. 609-631, 2015. [PDF]
23. E. G. Birgin, J. M. Martínez, and L. F. Prudente, Augmented Lagrangians with possible infeasibility and finite termination for global nonlinear programming, Journal of Global Optimization 58(2), pp. 207-242, 2014. [PDF]
24. J. M. Martínez and L. F. Prudente, Handling infeasibility in a large-scale nonlinear optimization algorithm, Numerical Algorithms 60(2), pp. 263-277, 2012. [PDF]

Chapter of Books

1. O. P. Ferreira, M. S. Louzeiro, and L. F. Prudente, First Order Methods for Optimization on Riemannian Manifolds. In: Grohs P., Holler M., Weinmann A. (eds) Handbook of Variational Methods for Nonlinear Geometric Data. 1ed.: Springer International Publishing, pp. 499-525, 2020.

 Other publications

1. Ph. D. Thesis (in portuguese): L. F. Prudente, Inviabilidade em métodos de Lagrangiano aumentado, Universidade Estadual de Campinas, 2012. (Advisor: José Mario Martínez)
2. Master Thesis (in portuguese): L. F. Prudente, Estimação da superfície de volatilidade dos ativos através da equação de Black-Scholes generalizada, Universidade Estadual de Campinas, 2009.  (Advisor: José Mario Martínez)