19 citations · 66 across the 12 of their papers we have counts for
3 papers · 1 filter
A Fast Gradient and Function Sampling Method for Finite Max-Functions
Elias S. Helou, Sandra A. Santos, Lucas E. A. Simões
This paper tackles the unconstrained minimization of a class of nonsmooth and nonconvex functions that can be written as finite max-functions. A gradient and function-based samplin…
-Subgradient Algorithms for Bilevel Convex Optimization
Elias Salomão Helou, Lucas Eduardo Azevedo Simões
This paper introduces and studies the convergence properties of a new class of explicit -subgradient methods for the task of minimizing a convex function over the set of minimiz…
Phase-Retrieval as a Regularization Problem
Eduardo X. Miqueles, Nathaly L. Archilha, Marcelo R. Dos Anjos +2
It was recently shown that the phase retrieval imaging of a sample can be modeled as a simple convolution process. Sometimes, such a convolution depends on physical parameters of t…