Optimal scenario tree reduction for stochastic streamflows in power generation planning problems. - Welington Luis de Oliveira; Claudia A. Sagastizábal; Débora Dias Jardim Penna; Maria Elvira Piñeiro Maceira; Jorge Machado Damázio (Optim. Methods Softw., 2010)

Inexact Bundle Methods for Two-Stage Stochastic Programming. - Welington Luis de Oliveira; Claudia A. Sagastizábal; Susana Scheimberg (SIAM J. Optim., 2011)

Level bundle methods for constrained convex optimization with various oracles. - Wim van Ackooij; Welington de Oliveira 001 (Comput. Optim. Appl., 2014)

Level bundle-like algorithms for convex optimization. - José Yunier Bello Cruz; Welington de Oliveira 001 (J. Glob. Optim., 2014)

Convex proximal bundle methods in depth: a unified analysis for inexact oracles. - Welington de Oliveira 001; Claudia A. Sagastizábal; Claude Lemaréchal (Math. Program., 2014)

Level bundle methods for oracles with on-demand accuracy. - Welington de Oliveira 001; Claudia A. Sagastizábal (Optim. Methods Softw., 2014)

Inexact stabilized Benders' decomposition approaches with application to chance-constrained problems with finite support. - Wim van Ackooij; Antonio Frangioni; Welington de Oliveira 001 (Comput. Optim. Appl., 2016)

A doubly stabilized bundle method for nonsmooth convex optimization. - Welington de Oliveira 001; Mikhail V. Solodov (Math. Program., 2016)

Probabilistic optimization via approximate p-efficient points and bundle methods. - Wim van Ackooij; V. Berge; Welington de Oliveira 001; Claudia A. Sagastizábal (Comput. Oper. Res., 2017)

Uncontrolled inexact information within bundle methods. - Jérôme Malick; Welington de Oliveira 001; Sofia Zaourar (EURO J. Comput. Optim., 2017)

Target radius methods for nonsmooth convex optimization. - Welington de Oliveira 001 (Oper. Res. Lett., 2017)

Adaptive Partition-Based Level Decomposition Methods for Solving Two-Stage Stochastic Programs with Fixed Recourse. - Wim van Ackooij; Welington de Oliveira 001; Yongjia Song (INFORMS J. Comput., 2018)

Robust Design of Pumping Stations in Water Distribution Networks. - Gratien Bonvin; Sophie Demassey; Welington de Oliveira 001 (WCGO, 2019)

On level regularization with normal solutions in decomposition methods for multistage stochastic programming problems. - Wim van Ackooij; Welington de Oliveira 001; Yongjia Song (Comput. Optim. Appl., 2019)

Proximal bundle methods for nonsmooth DC programming. - Welington de Oliveira 001 (J. Glob. Optim., 2019)

Nonsmooth and Nonconvex Optimization via Approximate Difference-of-Convex Decompositions. - Wim van Ackooij; Welington de Oliveira 001 (J. Optim. Theory Appl., 2019)

Non-smooth DC-constrained optimization: constraint qualification and minimizing methodologies. - Wim van Ackooij; Welington de Oliveira 001 (Optim. Methods Softw., 2019)

A Stochastic Optimization Model for Frequency Control and Energy Management in a Microgrid. - Dhekra Bousnina; Welington de Oliveira 001; Peter Pflaum (LOD (1), 2020)

A Mixed-Integer and Asynchronous Level Decomposition with Application to the Stochastic Hydrothermal Unit-Commitment Problem. - Bruno Colonetti; Erlon Cristian Finardi; Welington de Oliveira 001 (Algorithms, 2020)

A sequential partial linearization algorithm for the symmetric eigenvalue complementarity problem. - Masao Fukushima; Joaquim Júdice; Welington de Oliveira 001; Valentina Sessa (Comput. Optim. Appl., 2020)

Sequential Difference-of-Convex Programming. - Welington de Oliveira 001 (J. Optim. Theory Appl., 2020)

Asynchronous level bundle methods. - Franck Iutzeler; Jérôme Malick; Welington de Oliveira 001 (Math. Program., 2020)

Some brief observations in minimizing the sum of locally Lipschitzian functions. - Wim van Ackooij; Welington de Oliveira 001 (Optim. Lett., 2020)

A bundle method for nonsmooth DC programming with application to chance-constrained problems. - Wim van Ackooij; Sophie Demassey; Paul Javal; Hugo Morais; Welington de Oliveira 001; Bhargav Swaminathan (Comput. Optim. Appl., 2021)

A derivative-free trust-region algorithm with copula-based models for probability maximization problems. - Emerson Butyn; Elizabeth W. Karas; Welington de Oliveira 001 (Eur. J. Oper. Res., 2022)

Addendum to the paper 'Nonsmooth DC-constrained optimization: constraint qualification and minimizing methodologies'. - Wim van Ackooij; Welington de Oliveira 001 (Optim. Methods Softw., 2022)

Short Paper - A note on the Frank-Wolfe algorithm for a class of nonconvex and nonsmooth optimization problems. - Welington de Oliveira 001 (Open J. Math. Optim., 2023)

S-BORM: Reliability-based optimization of general systems using buffered optimization and reliability method. - Ji-Eun Byun; Welington de Oliveira 001; Johannes O. Royset (Reliab. Eng. Syst. Saf., 2023)

Computing Wasserstein Barycenters via Operator Splitting: The Method of Averaged Marginals. - Daniel W. Mimouni; Paul Malisani; Jiamin Zhu; Welington de Oliveira 001 (SIAM J. Math. Data Sci., 2024)

Computing Critical Angles Between Two Convex Cones. - Welington de Oliveira 001; Valentina Sessa; David Sossa (J. Optim. Theory Appl., 2024)

Derivative-Free Approaches for Chance-Constrained Problems with Right-Hand Side Uncertainty. - Welington de Oliveira 001 (SIAM J. Optim., 2025)

A Progressive Decoupling Algorithm for Minimizing the Difference of Convex and Weakly Convex Functions. - Welington de Oliveira 001; João Carlos de Oliveira Souza (J. Optim. Theory Appl., 2025)

A Proximal-Type Method for Nonsmooth and Nonconvex Constrained Minimization Problems. - Gregorio M. Sempere; Welington de Oliveira 001; Johannes O. Royset (J. Optim. Theory Appl., 2025)