Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/29500
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Krejić Nataša | - |
dc.contributor.author | Krklec Jerinkić Nataša | - |
dc.date.accessioned | 2020-12-14T16:51:07Z | - |
dc.date.available | 2020-12-14T16:51:07Z | - |
dc.date.issued | 2014 | - |
dc.identifier.issn | 0101-7438 | - |
dc.identifier.uri | https://open.uns.ac.rs/handle/123456789/29500 | - |
dc.description.abstract | © 2014 Brazilian Operations Research Society. This papers presents an overview of gradient basedmethods for minimization of noisy functions. It is assumed that the objective functions is either given with error terms of stochastic nature or given as the mathematical expectation. Such problems arise in the context of simulation based optimization. The focus of this presentation is on the gradient based Stochastic Approximation and Sample Average Approximation methods. The concept of stochastic gradient approximation of the true gradient can be successfully extended to deterministic problems. Methods of this kind are presented for the data fitting and machine learning problems. | - |
dc.language.iso | en | - |
dc.relation.ispartof | Pesquisa Operacional | - |
dc.source | CRIS UNS | - |
dc.source.uri | http://cris.uns.ac.rs | - |
dc.title | Stochastic gradient methods for unconstrained optimization | - |
dc.type | Journal/Magazine Article | - |
dc.identifier.doi | 10.1590/0101-7438.2014.034.03.0373 | - |
dc.identifier.scopus | 2-s2.0-84911434131 | - |
dc.identifier.url | https://www.cris.uns.ac.rs/record.jsf?recordId=87951&source=BEOPEN&language=en | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/84911434131 | - |
dc.relation.lastpage | 393 | - |
dc.relation.firstpage | 373 | - |
dc.relation.issue | 3 | - |
dc.relation.volume | 34 | - |
dc.identifier.externalcrisreference | (BISIS)87951 | - |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
crisitem.author.dept | Prirodno-matematički fakultet, Departman za matematiku i informatiku | - |
crisitem.author.dept | Prirodno-matematički fakultet, Departman za matematiku i informatiku | - |
crisitem.author.orcid | 0000-0003-3348-7233 | - |
crisitem.author.orcid | https://orcid.org/0000-0001-5195-9295 | - |
crisitem.author.orcid | 0000-0001-5195-9295 | - |
crisitem.author.parentorg | Prirodno-matematički fakultet | - |
crisitem.author.parentorg | Prirodno-matematički fakultet | - |
Appears in Collections: | PMF Publikacije/Publications |
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