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Type: Artigo
Title: Optimality properties of an augmented lagrangian method on infeasible problems
Author: Birgin, E. G.
Martinez, J. M.
Prudente, L. F.
Abstract: Sometimes, the feasible set of an optimization problem that one aims to solve using a Nonlinear Programming algorithm is empty. In this case, two characteristics of the algorithm are desirable. On the one hand, the algorithm should converge to a minimizer of some infeasibility measure. On the other hand, one may wish to find a point with minimal infeasibility for which some optimality condition, with respect to the objective function, holds. Ideally, the algorithm should converge to a minimizer of the objective function subject to minimal infeasibility. In this paper the behavior of an Augmented Lagrangian algorithm with respect to those properties will be studied
Subject: Programação não-linear
Country: Estados Unidos
Editor: Springer
Rights: Fechado
Identifier DOI: 10.1007/s10589-014-9685-5
Date Issue: 2015
Appears in Collections:IMECC - Artigos e Outros Documentos

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