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Ann. Oper. Res., February, 2023

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Rogério Azevedo Rocha

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Ronaldo Gregório

RAIRO Oper. Res., 2023

An inexact proximal decomposition method for variational inequalities with separable structure.

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Orlando Sarmiento

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Charlan Dellon da Silva Alves

RAIRO Oper. Res., 2021

<i>L<sup>α</sup></i> Riemannian weighted centers of mass applied to compose an image filter to diffusion tensor imaging.

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Yldenilson Torres Almeida

Appl. Math. Comput., 2021

A modified proximal point method for DC functions on Hadamard manifolds.

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Comput. Optim. Appl., 2020

A generalized proximal linearized algorithm for DC functions with application to the optimal size of the firm problem.

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Paolo Roberto Oliveira

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Ann. Oper. Res., 2020

A Linear Scalarization Proximal Point Method for Quasiconvex Multiobjective Minimization.

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Hellena Christina Fernandes Apolinário

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Kely Diana V. Villacorta

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Computing Riemannian Center of Mass on Hadamard Manifolds.

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Sandro Dimy Barbosa Bitar

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J. Optim. Theory Appl., 2019

A two-phase-like proximal point algorithm in domains of positivity.

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Charlan Dellon da Silva Alves

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Appl. Math. Comput., 2019

An inexact algorithm with proximal distances for variational inequalities.

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Lennin Mallma Ramirez

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RAIRO Oper. Res., 2018

Global convergence of a proximal linearized algorithm for difference of convex functions.

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Optim. Lett., 2016

A Proximal Point Algorithm with Quasi-distance in Multi-objective Optimization.

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A New Approach to the Proximal Point Method: Convergence on General Riemannian Manifolds.

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Hellena Christina Fernandes Apolinário

J. Optim. Theory Appl., 2016

A scalarization proximal point method for quasiconvex multiobjective minimization.

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J. Glob. Optim., 2016

Logarithmic quasi-distance proximal point scalarization method for multi-objective programming.

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Michael Souza

Appl. Math. Comput., 2016

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J. Glob. Optim., 2015

An inexact proximal method for quasiconvex minimization.

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Lennin Mallma Ramirez

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Eur. J. Oper. Res., 2015

A strongly polynomial-time algorithm for the strict homogeneous linear-inequality feasibility problem.

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Math. Methods Oper. Res., 2014

A Trust-Region Method for Unconstrained Multiobjective Problems with Applications in Satisficing Processes.

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Proximal Point Method on Finslerian Manifolds and the "Effort-Accuracy" Trade-off.

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P. A. Soares Jr.

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J. Optim. Theory Appl., 2014

The self regulation problem as an inexact steepest descent method for multicriteria optimization.

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Eur. J. Oper. Res., 2014

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Max L. N. Gonçalves

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SIAM J. Optim., 2013

A Hybrid Approach of Bundle and Benders Applied Large Mixed Linear Integer Problem.

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Plácido Rogério Pinheiro

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J. Appl. Math., 2013

Interior Proximal Algorithm for Quasiconvex Programming Problems and Variational Inequalities with Linear Constraints.

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Arnaldo S. Brito

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J. Optim. Theory Appl., 2012

Unconstrained Steepest Descent Method for Multicriteria Optimization on Riemannian Manifolds.

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Local convergence analysis of inexact Gauss-Newton like methods under majorant condition.

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J. Comput. Appl. Math., 2012

An extension of proximal methods for quasiconvex minimization on the nonnegative orthant.

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A logarithmic-quadratic proximal point scalarization method for multiobjective programming.

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Ronaldo Gregório

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J. Glob. Optim., 2011

Local convergence analysis of the Gauss-Newton method under a majorant condition.

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Max L. N. Gonçalves

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J. Complex., 2011

An interior proximal method in vector optimization.

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Eur. J. Oper. Res., 2011

A class of primal affine scaling algorithms.

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Appl. Math. Comput., 2011

A proximal method with separable Bregman distances for quasiconvex minimization over the nonnegative orthant.

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Sissy da S. Souza

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Eur. J. Oper. Res., 2010

On the convergence of the entropy-exponential penalty trajectories and generalized proximal point methods in semidefinite optimization.

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Roberto Cristóvão Mesquita Silva

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J. Glob. Optim., 2009

A new barrier for a class of semidefinite problems.

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