A nonlinear conjugate gradient method based on the MBFGS secant condition
type: Item
instance of: scholarly article
title: A nonlinear conjugate gradient method based on the MBFGS secant condition
zbMATH Open document ID: 1112.90096
DOI: 10.1080/10556780500137041
author: Weijun Zhou
author: Li Zhang
publication date: 2007-02-14T00:00:00Z
Mathematics Subject Classification ID: 90C52
Mathematics Subject Classification ID: 90C30
zbMATH DE Number: 5126315
zbMATH Keywords: unconstrained optimization
zbMATH Keywords: conjugate gradient method
zbMATH Keywords: global convergence
zbMATH Keywords: line search
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1080/10556780500137041
OpenAlex ID: W2070617022
cites work: A Nonlinear Conjugate Gradient Method with a Strong Global Convergence Property
cites work: Q5636694
cites work: Descent Property and Global Convergence of the Fletcher—Reeves Method with Inexact Line Search
cites work: Q3313210
cites work: Global Convergence Properties of Conjugate Gradient Methods for Optimization
cites work: New conjugacy conditions and related nonlinear conjugate gradient methods
cites work: Global convergence properties of nonlinear conjugate gradient methods with modified secant condition
cites work: New quasi-Newton equation and related methods for unconstrained optimization
cites work: Properties and numerical performance of quasi-Newton methods with modified quasi-Newton equations
cites work: A modified BFGS method and its global convergence in nonconvex minimization
cites work: Convergence Properties of the BFGS Algoritm
cites work: Convergence Properties of Nonlinear Conjugate Gradient Methods
cites work: Testing Unconstrained Optimization Software
published in: Optimization Methods \& Software
description: scientific article