A generalized gradient projection filter algorithm for inequality constrained optimization
type: Item
instance of: scholarly article
title: A generalized gradient projection filter algorithm for inequality constrained optimization
zbMATH Open document ID: 1397.90366
DOI: 10.1155/2013/854890
author: Wei Wang
author: Shaoli Hua
author: Junjie Tang
published in: Journal of Applied Mathematics
publication date: 2018-10-10T00:00:00Z
review text: Summary: A generalized gradient projection filter algorithm for inequality constrained optimization is presented. It has three merits. The first is that the amount of computation is lower, since the gradient matrix only needs to be computed one time at each iterate. The second is that the paper uses the filter technique instead of any penalty function for constrained programming. The third is that the algorithm is of global convergence and locally superlinear convergence under some mild conditions.
Mathematics Subject Classification ID: 90C30
Mathematics Subject Classification ID: 65K05
zbMATH DE Number: 6950909
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2013/854890
OpenAlex ID: W2091056714
Wikidata QID: Q59004895
description: scientific article; zbMATH DE number 6950909