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dc.contributor.authorPetrović, Milena
dc.date.accessioned2023-04-24T08:02:33Z
dc.date.available2023-04-24T08:02:33Z
dc.identifier.citationProjekat br.174025, Ministarstva prosvete, nauke i tehnološkog razvojaen_US
dc.identifier.urihttps://platon.pr.ac.rs/handle/123456789/1256
dc.description.abstractA hybrid accelerated model with two step length parameters for solving unconstrained optimization problems is presented. Applied hybridization process involves an efficient three term hybrid method. The accelerated double step size model is taken as guiding operator in this hybridization process. Defined method is convergent on the set of uniformly convex functions as well as on the set on strictly convex quadratics. We display a Dolan Moré performance profiles of derived iteration and of some other comparative hybrid and accelerated methods regarding the number of iterations and the number of function evaluations metrics. Displayed numerical test results confirm that derived model keeps a good properties of its forerunner method and outperform other comparative hybrid accelerated schemes.en_US
dc.publisherFaculty of Sciences and Mathematics, University of Nisen_US
dc.titleHybridization Rule Applied on Accelerated Double Step Size Optimization Schemeen_US
dc.title.alternativeFILOMATen_US
dc.typeclanak-u-casopisuen_US
dc.description.versionpublishedVersionen_US
dc.identifier.doihttps://doi.org/10.2298/FIL1903655P
dc.citation.volume33
dc.citation.issue3
dc.citation.spage655
dc.citation.epage665
dc.subject.keywordsUnconstrained optimizationen_US
dc.subject.keywordsline searchen_US
dc.subject.keywordsgradient descent methodsen_US
dc.subject.keywordsNewton methoden_US
dc.subject.keywordsconvergence rateen_US
dc.type.mCategoryM22en_US
dc.type.mCategoryopenAccessen_US
dc.type.mCategoryM22en_US
dc.type.mCategoryopenAccessen_US


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