Perspectives on self-scaling variable metric algorithms
type: Item
instance of: scholarly article
title: Perspectives on self-scaling variable metric algorithms
zbMATH Open document ID: 0458.90059
DOI: 10.1007/BF00934764
author: S. H. Smith
published in: Journal of Optimization Theory and Applications
publication date: 1982-01-01T00:00:00Z
Mathematics Subject Classification ID: 90C30
Mathematics Subject Classification ID: 65K05
zbMATH DE Number: 3718862
zbMATH Keywords: L-function model
zbMATH Keywords: performance characteristics
zbMATH Keywords: unconstrained optimization
zbMATH Keywords: quasi-Newton methods
zbMATH Keywords: self-scaling variable
zbMATH Keywords: metric methods
zbMATH Keywords: nonquadratic models
MaRDI profile type: Publication
cites work: Self-Scaling Variable Metric Algorithms without Line Search for Unconstrained Minimization
cites work: Self-Scaling Variable Metric (SSVM) Algorithms
cites work: On the selection of parameters in Self Scaling Variable Metric Algorithms
cites work: Optimal conditioning of self-scaling variable Metric algorithms
cites work: A new approach to variable metric algorithms
cites work: Q4051876
cites work: Q4181625
cites work: A variable metric-method for function minimization derived from invariancy to nonlinear scaling
cites work: An assessment of two approaches to variable metric methods
cites work: Matrix conditioning and nonlinear optimization
cites work: Minimization Algorithms Making Use of Non-quadratic Properties of the Objective Function
cites work: The Convergence of a Class of Double-rank Minimization Algorithms
description: scientific article; zbMATH DE number 3718862