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dc.contributor.authorPanić, Stefan
dc.contributor.authorPetrović, Milena
dc.contributor.authorMihajlov Carević, Miroslava
dc.date.accessioned2023-04-24T06:51:14Z
dc.date.available2023-04-24T06:51:14Z
dc.date.issued2018-08-01
dc.identifier.urihttps://platon.pr.ac.rs/handle/123456789/1250
dc.description.abstractWe improve the convergence properties of the iterative scheme for solving unconstrained optimisation problems introduced in Petrovic et al. [‘Hybridization of accelerated gradient descent method’, Numer. Algorithms (2017), doi:10.1007/s11075-017-0460-4] by optimising the value of the initial step length parameter in the backtracking line search procedure. We prove the validity of the algorithm and illustrate its advantages by numerical experiments and comparisons.en_US
dc.language.isoen_USen_US
dc.publisherCambridge University Pressen_US
dc.titleInitial improvement of the hybrid accelerated gradient descent processen_US
dc.title.alternativeBulletin of the Australian Mathematical Societyen_US
dc.typeclanak-u-casopisuen_US
dc.description.versionpublishedVersionen_US
dc.identifier.doihttps://doi.org/10.1017/S0004972718000552
dc.citation.volume98
dc.citation.issue2
dc.citation.spage331
dc.citation.epage338
dc.subject.keywordsline searchen_US
dc.subject.keywordsgradient descent methodsen_US
dc.subject.keywordsNewton methoden_US
dc.subject.keywordsconvergence rateen_US
dc.type.mCategoryM23en_US
dc.type.mCategoryclosedAccessen_US
dc.type.mCategoryM23en_US
dc.type.mCategoryclosedAccessen_US


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