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dc.contributor.authorVořechovský, M.
dc.contributor.editorAdámek, Vítězslav
dc.contributor.editorJonášová, Alena
dc.contributor.editorPlánička, Stanislav
dc.contributor.editorZajíček, Martin
dc.date.accessioned2022-11-23T11:49:23Z
dc.date.available2022-11-23T11:49:23Z
dc.date.issued2022
dc.identifier.citationComputational mechanics 2022: book of extended abstracts: 37th conference with international participation, p. 173-174.en
dc.identifier.urihttp://hdl.handle.net/11025/50406
dc.identifier.urihttps://www.kme.zcu.cz/compmech/download/proceedings/CM2022_Conference_Proceedings.pdf
dc.description.sponsorshipthe Czech Science Foundation under project no. 22-06684Ken
dc.format2 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherZápadočeská univerzita v Plznics
dc.rights© 2021 University of West Bohemia, Plzeň, Czech Republicen
dc.subjectadaptivní sekvenční vzorkovánícs
dc.subjectexperimentální designcs
dc.subjectalgoritmuscs
dc.subjectpravděpodobnost selhánícs
dc.titleFailure probability estimation of functions with binary outcomes via adaptive sequential samplingen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.subject.translatedadaptive sequential samplingen
dc.subject.translatedexperimental designen
dc.subject.translatedalgorithmen
dc.subject.translatedprobability of failureen
dc.type.statusPeer-revieweden
Appears in Collections:Computational mechanics 2022
Computational mechanics 2022

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