Numerical expirience with a class of self-scaling quasi-Newton algorithms
type: Item
instance of: scholarly article
title: Numerical expirience with a class of self-scaling quasi-Newton algorithms
zbMATH Open document ID: 0907.90240
DOI: 10.1023/A:1022608410710
published in: Journal of Optimization Theory and Applications
publication date: 1999-02-11T00:00:00Z
Mathematics Subject Classification ID: 90C30
zbMATH DE Number: 1206518
zbMATH Keywords: unconstrained optimization
zbMATH Keywords: quasi-Newton methods
zbMATH Keywords: inexact line searches
zbMATH Keywords: global and superlinear convergence
zbMATH Keywords: Broyden family
zbMATH Keywords: self-scaling methods
author: Mehiddin Al-Baali
describes a project that uses: CUTEr
describes a project that uses: CUTE
describes a project that uses: L-BFGS
describes a project that uses: minpack
MaRDI profile type: Publication
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cites work: On measure functions for the self-scaling updating formulae for quasi-newton methods∗
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cites work: Testing Unconstrained Optimization Software
cites work: A combined class of self-scaling and modified quasi-Newton methods
full work available at URL: a:1022608410710
OpenAlex ID: W1864714722
description: scientific article; zbMATH DE number 1206518