Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/6661| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Nikolovski, Filip | en_US |
| dc.contributor.author | Stojkovska, Irena | en_US |
| dc.date.accessioned | 2020-01-29T10:40:01Z | - |
| dc.date.available | 2020-01-29T10:40:01Z | - |
| dc.date.issued | 2018-01-01 | - |
| dc.identifier.uri | http://hdl.handle.net/20.500.12188/6661 | - |
| dc.description.abstract | The 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.iso | en | en_US |
| dc.publisher | Elsevier BV | en_US |
| dc.relation.ispartof | Journal of Computational and Applied Mathematics | en_US |
| dc.subject | Derivative approximation | en_US |
| dc.subject | Complex-step derivative approximation | en_US |
| dc.subject | Nonmonotone line-search methods | en_US |
| dc.subject | Noisy environment | en_US |
| dc.title | Complex-step derivative approximation in noisy environment | en_US |
| dc.type | Journal Article | en_US |
| dc.identifier.doi | 10.1016/j.cam.2017.05.046 | - |
| dc.identifier.url | https://api.elsevier.com/content/article/PII:S0377042717302996?httpAccept=text/xml | - |
| dc.identifier.url | https://api.elsevier.com/content/article/PII:S0377042717302996?httpAccept=text/plain | - |
| dc.identifier.volume | 327 | - |
| item.fulltext | No Fulltext | - |
| item.grantfulltext | none | - |
| crisitem.author.dept | Faculty of Natural Sciences and Mathematics | - |
| Appears in Collections: | Faculty of Natural Sciences and Mathematics: Journal Articles | |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.