Welington de Oliveira

According to our database, Welington de Oliveira authored at least 33 papers between 2010 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Proximal-Type Method for Nonsmooth and Nonconvex Constrained Minimization Problems.

Gregorio M. Sempere, Welington de Oliveira, Johannes O. Royset

J. Optim. Theory Appl., March, 2025

A Progressive Decoupling Algorithm for Minimizing the Difference of Convex and Weakly Convex Functions.

Welington de Oliveira, João Carlos de Oliveira Souza

J. Optim. Theory Appl., March, 2025

Derivative-Free Approaches for Chance-Constrained Problems with Right-Hand Side Uncertainty.

Welington de Oliveira

SIAM J. Optim., 2025

2024

Computing Critical Angles Between Two Convex Cones.

Welington de Oliveira, Valentina Sessa, David Sossa

J. Optim. Theory Appl., May, 2024

Computing Wasserstein Barycenters via Operator Splitting: The Method of Averaged Marginals.

Daniel W. Mimouni, Paul Malisani, Jiamin Zhu, Welington de Oliveira

SIAM J. Math. Data Sci., 2024

2023

S-BORM: Reliability-based optimization of general systems using buffered optimization and reliability method.

Ji-Eun Byun, Welington de Oliveira, Johannes O. Royset

Reliab. Eng. Syst. Saf., August, 2023

Short Paper - A note on the Frank-Wolfe algorithm for a class of nonconvex and nonsmooth optimization problems.

Welington de Oliveira

Open J. Math. Optim., January, 2023

2022

Addendum to the paper 'Nonsmooth DC-constrained optimization: constraint qualification and minimizing methodologies'.

Wim van Ackooij, Welington de Oliveira

Optim. Methods Softw., 2022

A derivative-free trust-region algorithm with copula-based models for probability maximization problems.

Emerson Butyn, Elizabeth W. Karas, Welington de Oliveira

Eur. J. Oper. Res., 2022

2021

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, Bhargav Swaminathan

Comput. Optim. Appl., 2021

2020

Some brief observations in minimizing the sum of locally Lipschitzian functions.

Wim van Ackooij, Welington de Oliveira

Optim. Lett., 2020

Asynchronous level bundle methods.

Franck Iutzeler, Jérôme Malick, Welington de Oliveira

Math. Program., 2020

Sequential Difference-of-Convex Programming.

Welington de Oliveira

J. Optim. Theory Appl., 2020

A sequential partial linearization algorithm for the symmetric eigenvalue complementarity problem.

Masao Fukushima, Joaquim Júdice, Welington de Oliveira, Valentina Sessa

Comput. Optim. Appl., 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

Algorithms, 2020

A Stochastic Optimization Model for Frequency Control and Energy Management in a Microgrid.

Dhekra Bousnina, Welington de Oliveira, Peter Pflaum

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

2019

Non-smooth DC-constrained optimization: constraint qualification and minimizing methodologies.

Wim van Ackooij, Welington de Oliveira

Optim. Methods Softw., 2019

Nonsmooth and Nonconvex Optimization via Approximate Difference-of-Convex Decompositions.

Wim van Ackooij, Welington de Oliveira

J. Optim. Theory Appl., 2019

Proximal bundle methods for nonsmooth DC programming.

Welington de Oliveira

J. Glob. Optim., 2019

On level regularization with normal solutions in decomposition methods for multistage stochastic programming problems.

Wim van Ackooij, Welington de Oliveira, Yongjia Song

Comput. Optim. Appl., 2019

Robust Design of Pumping Stations in Water Distribution Networks.

Gratien Bonvin, Sophie Demassey, Welington de Oliveira

Proceedings of the Optimization of Complex Systems: Theory, 2019

2018

Adaptive Partition-Based Level Decomposition Methods for Solving Two-Stage Stochastic Programs with Fixed Recourse.

Wim van Ackooij, Welington de Oliveira, Yongjia Song

INFORMS J. Comput., 2018

2017

Target radius methods for nonsmooth convex optimization.

Welington de Oliveira

Oper. Res. Lett., 2017

Uncontrolled inexact information within bundle methods.

Jérôme Malick, Welington de Oliveira, Sofia Zaourar

EURO J. Comput. Optim., 2017

Probabilistic optimization via approximate p-efficient points and bundle methods.

Wim van Ackooij, V. Berge, Welington de Oliveira, Claudia A. Sagastizábal

Comput. Oper. Res., 2017

2016

A doubly stabilized bundle method for nonsmooth convex optimization.

Welington de Oliveira, Mikhail V. Solodov

Math. Program., 2016

Inexact stabilized Benders' decomposition approaches with application to chance-constrained problems with finite support.

Wim van Ackooij, Antonio Frangioni, Welington de Oliveira

Comput. Optim. Appl., 2016

2014

Level bundle methods for oracles with on-demand accuracy.

Welington de Oliveira, Claudia A. Sagastizábal

Optim. Methods Softw., 2014

Convex proximal bundle methods in depth: a unified analysis for inexact oracles.

Welington de Oliveira, Claudia A. Sagastizábal, Claude Lemaréchal

Math. Program., 2014

Level bundle-like algorithms for convex optimization.

José Yunier Bello Cruz, Welington de Oliveira

J. Glob. Optim., 2014

Level bundle methods for constrained convex optimization with various oracles.

Wim van Ackooij, Welington de Oliveira

Comput. Optim. Appl., 2014

2011

Inexact Bundle Methods for Two-Stage Stochastic Programming.

Welington Luis de Oliveira, Claudia A. Sagastizábal, Susana Scheimberg

SIAM J. Optim., 2011

2010

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