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Lucas E. A. Simões
Lucas E. A. Simões
Postdoctoral researcher, University of Campinas
Verified email at ime.unicamp.br
Title
Cited by
Cited by
Year
Gradient sampling methods for nonsmooth optimization
JV Burke, FE Curtis, AS Lewis, ML Overton, LEA Simões
Numerical nonsmooth optimization: State of the art algorithms, 201-225, 2020
1152020
ϵ-subgradient algorithms for bilevel convex optimization
ES Helou, LEA Simões
Inverse problems 33 (5), 055020, 2017
202017
On the differentiability check in gradient sampling methods
E Salomão Helou, SA Santos, LEA Simões
Optimization Methods and Software 31 (5), 983-1007, 2016
192016
On the local convergence analysis of the gradient sampling method for finite max-functions
ES Helou, SA Santos, LEA Simões
Journal of Optimization Theory and Applications 175, 137-157, 2017
182017
A new sequential optimality condition for constrained nonsmooth optimization
ES Helou, SA Santos, LEA Simo͂es
SIAM Journal on Optimization 30 (2), 1610-1637, 2020
162020
Can drag force suppress Fermi acceleration in a bouncer model?
FA de Souza, LEA Simoes, MR da Silva, ED Leonel
Mathematical Problems in Engineering 2009 (1), 409857, 2009
102009
A fast gradient and function sampling method for finite-max functions
ES Helou, SA Santos, LEA Simões
Computational Optimization and Applications 71 (3), 673-717, 2018
82018
Analysis of a new sequential optimality condition applied to mathematical programs with equilibrium constraints
ES Helou, SA Santos, LEA Simões
Journal of Optimization Theory and Applications 185 (2), 433-447, 2020
72020
A primal nonsmooth reformulation for bilevel optimization problems
ES Helou, SA Santos, LEA Simões
Mathematical Programming 198 (2), 1381-1409, 2023
42023
On the convergence analysis of a penalty algorithm for nonsmooth optimization and its performance for solving hard-sphere problems
RW Prado, SA Santos, LEA Simoes
Numerical Algorithms 91 (2), 933-957, 2022
42022
A novel sequential optimality condition for smooth constrained optimization and algorithmic consequences
RW Prado, SA Santos, LEA Simões
Optimization 73 (5), 1447-1476, 2024
32024
On the Fulfillment of the Complementary Approximate Karush–Kuhn–Tucker Conditions and Algorithmic Applications
RW Prado, SA Santos, LEA Simões
Journal of Optimization Theory and Applications 197 (2), 705-736, 2023
22023
A new parameter choice method for inverse problems with poisson noise
ES Helou, LEA Simões
e-Proceedings, 2012
22012
A Second-Order Information-Based Gradient and Function Sampling Method for Nonconvex, Nonsmooth Optimization
ES Helou, SA Santos, LEA Simoes
12016
Seleção de Parâmetros de Regularização por Minimização de Distâncias Esperadas de Bregman
ES Helou, LEA Simões, SA Santos
Proceeding Series of the Brazilian Society of Computational and Applied …, 2023
2023
A sequential optimality condition for Mathematical Programs with equilibrium constraints based on a nonsmooth formulation
ES Helou, SA Santos, LEA Simões
IMA Journal of Numerical Analysis 43 (3), 1586-1615, 2023
2023
On the achievement of the complementary approximate Karush-Kuhn-Tucker conditions and algorithmic applications
RW Prado, SA Santos, LEA Simoes
2022
Unbiased Bregman-Risk Estimators: Application to Regularization Parameter Selection in Tomographic Image Reconstruction
ES Helou, SA Santos, LEA Simões
arXiv preprint arXiv:2109.08784, 2021
2021
Estudo do desempenho de métodos de amostragem para minimizaçao irrestrita nao suave
DRBL Silva, SA Santos, LEA Simoes
Proceeding Series of the Brazilian Society of Computational and Applied …, 2018
2018
Sampling techniques for nonsmooth optimization= Técnicas amostrais para otimização não suave
LEA Simões
[sn], 2017
2017
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