Global convergence of Hager-Zhang type Riemannian conjugate gradient method
type: Item
instance of: scholarly article
title: Global convergence of Hager-Zhang type Riemannian conjugate gradient method
author: Hiroyuki Sakai
author: Hiroyuki Sato
author: Hideaki Iiduka
published in: Applied Mathematics and Computation
publication date: 2022-12-07T00:00:00Z
full work available at URL: https://arxiv.org/abs/2207.01855
Mathematics Subject Classification ID: 90Cxx
Mathematics Subject Classification ID: 65Kxx
Mathematics Subject Classification ID: 90-XX
zbMATH DE Number: 7627676
zbMATH Keywords: Riemannian optimization
zbMATH Keywords: Riemannian manifold
zbMATH Keywords: conjugate gradient method
zbMATH Keywords: Hager-Zhang method
describes a project that uses: hybrid-rcg
MaRDI profile type: Publication
OpenAlex ID: W4284678912
cites work: Q5433140
cites work: Benchmarking optimization software with performance profiles.
cites work: A New Conjugate Gradient Method with Guaranteed Descent and an Efficient Line Search
cites work: Maxima for Graphs and a New Proof of a Theorem of Turán
cites work: Optimization methods on Riemannian manifolds and their application to shape space
cites work: Hybrid Riemannian conjugate gradient methods with global convergence properties
cites work: Sufficient descent Riemannian conjugate gradient methods
cites work: Q4888132
cites work: A Dai-Yuan-type Riemannian conjugate gradient method with the weak Wolfe conditions
cites work: Riemannian Conjugate Gradient Methods: General Framework and Specific Algorithms with Convergence Analyses
cites work: Riemannian Optimization and Its Applications
cites work: A new, globally convergent Riemannian conjugate gradient method
cites work: Optimization Techniques on Riemannian Manifolds
DOI: 10.1016/J.AMC.2022.127685
description: scientific article; zbMATH DE number 7627676