Lucas E. A. Simões

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 9

Top Topics

Optimization Problems

Parameter Selection

Tomographic Image Reconstruction

Convergence Analysis

Top Venues

J. Optim. Theory Appl.

Numer. Algorithms

Publications

Elias S. Helou, Sandra A. Santos, Lucas E. A. Simões
A primal nonsmooth reformulation for bilevel optimization problems. Math. Program. 198 (2) (2023)
Renan W. Prado, Sandra A. Santos, Lucas E. A. Simões
On the Fulfillment of the Complementary Approximate Karush-Kuhn-Tucker Conditions and Algorithmic Applications. J. Optim. Theory Appl. 197 (2) (2023)
Renan W. Prado, Sandra A. Santos, Lucas E. A. Simões
On the convergence analysis of a penalty algorithm for nonsmooth optimization and its performance for solving hard-sphere problems. Numer. Algorithms 91 (2) (2022)
Elias S. Helou, Sandra A. Santos, Lucas E. A. Simões
Unbiased Bregman-Risk Estimators: Application to Regularization Parameter Selection in Tomographic Image Reconstruction. CoRR (2021)
Elias S. Helou, Sandra A. Santos, Lucas E. A. Simões
A New Sequential Optimality Condition for Constrained Nonsmooth Optimization. SIAM J. Optim. 30 (2) (2020)
Elias S. Helou, Sandra A. Santos, Lucas E. A. Simões
Analysis of a New Sequential Optimality Condition Applied to Mathematical Programs with Equilibrium Constraints. J. Optim. Theory Appl. 185 (2) (2020)
Elias Salomão Helou, Sandra A. Santos, Lucas E. A. Simões
A fast gradient and function sampling method for finite-max functions. Comput. Optim. Appl. 71 (3) (2018)
Elias Salomão Helou, Sandra A. Santos, Lucas E. A. Simões
On the Local Convergence Analysis of the Gradient Sampling Method for Finite Max-Functions. J. Optim. Theory Appl. 175 (1) (2017)
Elias Salomão Helou, Sandra A. Santos, Lucas E. A. Simões
On the differentiability check in gradient sampling methods. Optim. Methods Softw. 31 (5) (2016)