On the use of curvature estimates in quasi-Newton methods
type: Item
instance of: scholarly article
title: On the use of curvature estimates in quasi-Newton methods
zbMATH Open document ID: 0733.65043
DOI: 10.1016/0377-0427(91)90206-Y
author: R.-A. Ghandhari
author: J. A. Ford
published in: Journal of Computational and Applied Mathematics
publication date: 1991-01-01T00:00:00Z
review text: The quasi-Newton approach for locating an unconstrained minimum of an objective function is considered. The authors construct three minimization algorithms which employ function-value information via curvature estimates. Each method gives rise to a modified method of secant equations. Test results indicate that the methods are applicable and can yield computational gains.
Mathematics Subject Classification ID: 65K05
Mathematics Subject Classification ID: 90C30
zbMATH DE Number: 4213341
zbMATH Keywords: quasi-Newton methods
zbMATH Keywords: unconstrained minimum
zbMATH Keywords: minimization algorithms
zbMATH Keywords: curvature estimates
zbMATH Keywords: method of secant equations
zbMATH Keywords: Test results
describes a project that uses: minpack
MaRDI profile type: Publication
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full work available at URL: 0377-0427(91)90206-y
OpenAlex ID: W1996442123
description: scientific article; zbMATH DE number 4213341