A note on the global convergence theorem of accelerated adaptive Perry conjugate gradient methods
type: Item
instance of: scholarly article
title: A note on the global convergence theorem of accelerated adaptive Perry conjugate gradient methods
zbMATH Open document ID: 1381.90087
published in: Journal of Computational and Applied Mathematics
publication date: 2017-11-21T00:00:00Z
Mathematics Subject Classification ID: 90C30
Mathematics Subject Classification ID: 65K05
Mathematics Subject Classification ID: 49M37
zbMATH DE Number: 6810539
zbMATH Keywords: unconstrained optimization
zbMATH Keywords: conjugate gradient algorithm
zbMATH Keywords: accelerated scheme
zbMATH Keywords: self-scaling memoryless BFGS update
zbMATH Keywords: convergence analysis
author: Yigui Ou
describes a project that uses: Algorithm 500
describes a project that uses: SCALCG
MaRDI profile type: Publication
full work available at URL: j.cam.2017.10.024
OpenAlex ID: W2766025103
cites work: Q5479892
cites work: Accelerated adaptive Perry conjugate gradient algorithms based on the self-scaling memoryless BFGS update
cites work: Optimization theory and methods. Nonlinear programming
cites work: Scaled conjugate gradient algorithms for unconstrained optimization
cites work: A New Conjugate Gradient Method with Guaranteed Descent and an Efficient Line Search
cites work: Algorithm 500: Minimization of Unconstrained Multivariate Functions [E4]
cites work: Accelerated conjugate gradient algorithm with finite difference Hessian/vector product approximation for unconstrained optimization
DOI: 10.1016/J.CAM.2017.10.024
description: scientific article; zbMATH DE number 6810539