Convergence and Stability of Line Search Methods for Unconstrained Optimization

This paper explores the stability of general line search methods in the sense of Lyapunov, for minimizing a smooth nonlinear function. In particular we give sufficient conditions for a line search method to be globally asymptotical stable. Our analysis suggests that the proposed sufficient condition...

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Main Authors: Leong, Wah, Goh, Bean
Format: Journal Article
Published: Springer 2013
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/17464
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author Leong, Wah
Goh, Bean
author_facet Leong, Wah
Goh, Bean
author_sort Leong, Wah
building Curtin Institutional Repository
collection Online Access
description This paper explores the stability of general line search methods in the sense of Lyapunov, for minimizing a smooth nonlinear function. In particular we give sufficient conditions for a line search method to be globally asymptotical stable. Our analysis suggests that the proposed sufficient conditions for asymptotical stability is equivalent to the Zoutendijk-type conditions in conventional global convergence analysis.
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format Journal Article
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T07:21:30Z
publishDate 2013
publisher Springer
recordtype eprints
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spelling curtin-20.500.11937-174642017-09-13T15:44:15Z Convergence and Stability of Line Search Methods for Unconstrained Optimization Leong, Wah Goh, Bean Line search methods Lyapunov stability Globally asymptotical stability Global convergence Unconstrained optimization This paper explores the stability of general line search methods in the sense of Lyapunov, for minimizing a smooth nonlinear function. In particular we give sufficient conditions for a line search method to be globally asymptotical stable. Our analysis suggests that the proposed sufficient conditions for asymptotical stability is equivalent to the Zoutendijk-type conditions in conventional global convergence analysis. 2013 Journal Article http://hdl.handle.net/20.500.11937/17464 10.1007/s10440-012-9796-x Springer restricted
spellingShingle Line search methods
Lyapunov stability
Globally asymptotical stability
Global convergence
Unconstrained optimization
Leong, Wah
Goh, Bean
Convergence and Stability of Line Search Methods for Unconstrained Optimization
title Convergence and Stability of Line Search Methods for Unconstrained Optimization
title_full Convergence and Stability of Line Search Methods for Unconstrained Optimization
title_fullStr Convergence and Stability of Line Search Methods for Unconstrained Optimization
title_full_unstemmed Convergence and Stability of Line Search Methods for Unconstrained Optimization
title_short Convergence and Stability of Line Search Methods for Unconstrained Optimization
title_sort convergence and stability of line search methods for unconstrained optimization
topic Line search methods
Lyapunov stability
Globally asymptotical stability
Global convergence
Unconstrained optimization
url http://hdl.handle.net/20.500.11937/17464