Global convergence of a modified LS method
type: Item
instance of: scholarly article
title: Global convergence of a modified LS method
zbMATH Open document ID: 1264.90178
DOI: 10.1155/2012/910303
author: Liu Jinkui
author: Du Xianglin
published in: Mathematical Problems in Engineering
publication date: 2013-06-11T00:00:00Z
review text: Summary: The LS method is one of the effective conjugate gradient methods in solving the unconstrained optimization problems. The paper presents a modified LS method on the basis of the famous LS method and proves the strong global convergence for the uniformly convex functions and the global convergence for general functions under the strong Wolfe line search. The numerical experiments show that the modified LS method is very effective in practice.
Mathematics Subject Classification ID: 90C52
Mathematics Subject Classification ID: 90C26
zbMATH DE Number: 6173683
Wikidata QID: Q58912656
describes a project that uses: minpack
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2012/910303
OpenAlex ID: W1983348189
cites work: Efficient generalized conjugate gradient algorithms. I: Theory
cites work: A descent nonlinear conjugate gradient method for large-scale unconstrained optimization
cites work: Q3071264
cites work: Convergence Properties of Nonlinear Conjugate Gradient Methods
cites work: Testing Unconstrained Optimization Software
cites work: Q4461063
cites work: Q3474197
description: scientific article; zbMATH DE number 6173683