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    Convergence and Stability of Line Search Methods for Unconstrained Optimization

    Access Status
    Fulltext not available
    Authors
    Leong, Wah
    Goh, Bean
    Date
    2013
    Type
    Journal Article
    
    Metadata
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    Citation
    Leong, Wah and Goh, Bean. 2013. Convergence and Stability of Line Search Methods for Unconstrained Optimization. Acta Applicandae Mathematicae. 127: pp. 155-167.
    Source Title
    Acta Applicandae Mathematicae
    DOI
    10.1007/s10440-012-9796-x
    ISSN
    01678019
    School
    Sarawak Campus, Miri, Malaysia
    URI
    http://hdl.handle.net/20.500.11937/17464
    Collection
    • Curtin Research Publications
    Abstract

    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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