Multi-step spectral gradient methods with modified weak secant relation for large scale unconstrained optimization
type: Item
instance of: scholarly article
title: Multi-step spectral gradient methods with modified weak secant relation for large scale unconstrained optimization
author: Hong Seng Sim
author: W. J. Leong
author: Chuei Yee Chen
author: Siti Nur Iqmal Ibrahim
published in: Numerical Algebra, Control and Optimization
publication date: 2019-01-24T00:00:00Z
Mathematics Subject Classification ID: 65K10
Mathematics Subject Classification ID: 93B40
Mathematics Subject Classification ID: 90C06
zbMATH DE Number: 7006517
zbMATH Keywords: modified weak secant relation
zbMATH Keywords: spectral gradient methods
zbMATH Keywords: log-determinant norm
zbMATH Keywords: large scale
zbMATH Keywords: unconstrained optimization
describes a project that uses: L-BFGS
describes a project that uses: CUTEr
describes a project that uses: CUTE
MaRDI profile type: Publication
full work available at URL: naco.2018024
OpenAlex ID: W2810759577
cites work: Q3539529
cites work: Two-Point Step Size Gradient Methods
cites work: CUTE
cites work: A Tool for the Analysis of Quasi-Newton Methods with Application to Unconstrained Minimization
cites work: Sizing and Least-Change Secant Methods
cites work: Multi-step quasi-Newton methods for optimization
cites work: Spectral residual method without gradient information for solving large-scale nonlinear systems of equations
cites work: Nonmonotone Spectral Methods for Large-Scale Nonlinear Systems
cites work: On the limited memory BFGS method for large scale optimization
cites work: The Barzilai and Borwein Gradient Method for the Large Scale Unconstrained Minimization Problem
cites work: The Quasi-Cauchy Relation and Diagonal Updating
DOI: 10.3934/NACO.2018024
Wikidata QID: Q129545232
description: scientific article; zbMATH DE number 7006517