Armijo rule and strong wolfe line search in generalized newton method

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dc.contributor.authorKetabchi, S.
dc.contributor.authorParandegan, M.
dc.contributor.authorNavidi, H.
dc.date.accessioned2024-07-12T20:49:49Z
dc.date.available2024-07-12T20:49:49Z
dc.date.issued2009en_US
dc.departmentFakülteler, İnsan ve Toplum Bilimleri Fakültesi, Matematik Bölümüen_US
dc.description.abstractThe line search method is one of the two fundamental strategies to solve unconstrained optimization problem that have been developed up to now. The second strategy is trust region method. In the line search method, the success of the algorithm not only depends on well-chosen search direction but also well-chosen step length. In this paper we compare the Armijo step size regulation and Strong Wolfe conditions in generalized Newton algorithm to minimizing a piecewise quadratic convex function. This function arises from dual exterior penalty problem for the problem of finding normal solution of the system of linear equalities. Numerical experience for systems which are selected in NETLIB indicates the behavior of the two inexact line searches differs markedly.en_US
dc.identifier.citationKetabci, S., Parandegan, M. ve Navidi, H. (2009). Armijo rule and strong wolfe line search in generalized newton method. Maltepe Üniversitesi. s. 350.en_US
dc.identifier.endpage351en_US
dc.identifier.isbn9.78605E+12
dc.identifier.startpage350en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12415/2239
dc.language.isoenen_US
dc.publisherMaltepe Üniversitesien_US
dc.relation.ispartofInternational Conference of Mathematical Sciencesen_US
dc.relation.publicationcategoryUluslararası Konferans Öğesi - Başka Kurum Yazarıen_US
dc.rightsCC0 1.0 Universal*
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.snmzKY07566
dc.titleArmijo rule and strong wolfe line search in generalized newton methoden_US
dc.typeConference Object
dspace.entity.typePublication

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