Steepest Descent Method with Random Step Lengths
dc.contributor.author | Kalousek Zdeněk | cs |
dc.date.accessioned | 2020-06-08T09:41:41Z | |
dc.date.available | 29-54-2019 | en |
dc.date.available | 2020-06-08T09:41:41Z | |
dc.date.issued | 2017 | cs |
dc.date.updated | 29-55-2019 | en |
dc.format.extent | 64 | cs |
dc.identifier.doi | 10.1007/s10208-015-9290-8 | |
dc.identifier.issn | 1615-3375 | cs |
dc.identifier.uri | https://dspace.tul.cz/handle/15240/155815 | |
dc.language.iso | eng | cs |
dc.publisher | Springer | cs |
dc.relation.ispartof | Foundations of Computational Mathematics | en |
dc.relation.ispartofseries | 0 | cs |
dc.relation.uri | https://link.springer.com/article/10.1007/s10208-015-9290-8 | cs |
dc.riv.kontrolni-cislo | 192065445 | cs |
dc.riv.specifikace | RIV/46747885:24510/17:00006440!RIV19-MSM-24510___ | cs |
dc.subject | Optimization | cs |
dc.subject | Gradient methods | cs |
dc.subject | Stochastic process | cs |
dc.subject | Algorithms | cs |
dc.subject | Convergence | cs |
dc.subject | Computational experiments | cs |
dc.title | Steepest Descent Method with Random Step Lengths | cs |
local.citation.epage | 359-422 | cs |
local.citation.spage | 359-422 | cs |
local.identifier.publikace | 6440 | |
local.identifier.wok | 398888500002 | en |
local.relation.issue | 2 | cs |
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