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dc.contributor.authorNikolovski, Filipen_US
dc.contributor.authorStojkovska, Irenaen_US
dc.date.accessioned2020-01-29T10:40:01Z-
dc.date.available2020-01-29T10:40:01Z-
dc.date.issued2018-01-01-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/6661-
dc.description.abstractThe complex-step derivative approximation is a powerful method for derivative approximations which has been successfully implemented in deterministic numerical algorithms. We explore and analyze its implementation in noisy environment through examples, error analysis and application to optimization methods. Numerical results show a promising performance of the complex-step gradient approximation in noisy environment.en_US
dc.language.isoenen_US
dc.publisherElsevier BVen_US
dc.relation.ispartofJournal of Computational and Applied Mathematicsen_US
dc.subjectDerivative approximationen_US
dc.subjectComplex-step derivative approximationen_US
dc.subjectNonmonotone line-search methodsen_US
dc.subjectNoisy environmenten_US
dc.titleComplex-step derivative approximation in noisy environmenten_US
dc.typeJournal Articleen_US
dc.identifier.doi10.1016/j.cam.2017.05.046-
dc.identifier.urlhttps://api.elsevier.com/content/article/PII:S0377042717302996?httpAccept=text/xml-
dc.identifier.urlhttps://api.elsevier.com/content/article/PII:S0377042717302996?httpAccept=text/plain-
dc.identifier.volume327-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptFaculty of Natural Sciences and Mathematics-
Appears in Collections:Faculty of Natural Sciences and Mathematics: Journal Articles
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