activity
20152023
most citedGlobal convergence of a BFGS-type algorithm for nonconvex multiobjective optimization problems

9 citations · 13 across the 7 of their papers we have counts for

collaborators

8 papers

math.OC2023★ 9 cited

Global convergence of a BFGS-type algorithm for nonconvex multiobjective optimization problems

L. F. Prudente, D. R. Souza

We propose a modified BFGS algorithm for multiobjective optimization problems with global convergence, even in the absence of convexity assumptions on the objective functions. Furt…

math.OC2023★ 1 cited

A generalized conditional gradient method for multiobjective composite optimization problems

P. B. Assunção, O. P. Ferreira, L. F. Prudente

This article deals with multiobjective composite optimization problems that consist of simultaneously minimizing several objective functions, each of which is composed of a combina…

math.OC2021

On the inexact scaled gradient projection method

Orizon P. Ferreira, Max V. Lemes, Leandro F. Prudente

The purpose of this paper is to present an inexact version of the scaled gradient projection method on a convex set, which is inexact in two sense. First, an inexact projection on…

math.OC2021

Inexact gradient projection method with relative error tolerance

Ademir A. Aguiar, Orizon P. Ferreira, Leandro F. Prudente

A gradient projection method with feasible inexact projections is proposed in the present paper. The inexact projection is performed using a relative error tolerance. Asymptotic co…

math.OC2019

Iteration-complexity and asymptotic analysis of steepest descent method for multiobjective optimization on Riemannian manifolds

Orizon P. Ferreira, Maurício S. Louzeiro, Leandro F. Prudente

The steepest descent method for multiobjective optimization on Riemannian manifolds with lower bounded sectional curvature is analyzed in this paper. The aim of the paper is twofol…

math.OC2018

Iteration-Complexity of the Subgradient Method on Riemannian Manifolds with Lower Bounded Curvature

O. P. Ferreira, M. S. Louzeiro, L. F. Prudente

The subgradient method for convex optimization problems on complete Riemannian manifolds with lower bounded sectional curvature is analyzed in this paper. Iteration-complexity boun…

math.OC2018★ 3 cited

Gradient Method for Optimization on Riemannian Manifolds with Lower Bounded Curvature

O. P. Ferreira, M. S. Louzeiro, L. F. Prudente

The gradient method for minimize a differentiable convex function on Riemannian manifolds with lower bounded sectional curvature is analyzed in this paper. The analysis of the meth…

math.OC2015

On the global convergence of the inexact semi-smooth Newton method for absolute value equation

J. Y. Bello Cruz, O. P. Ferreira, L. F. Prudente

In this paper, we investigate global convergence properties of the inexact nonsmooth Newton method for solving the system of absolute value equations (AVE). Global -linear conve…