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Conditional reliability analysis in high dimensions based on controlled mixture importance sampling and information reuse.

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Title: Conditional reliability analysis in high dimensions based on controlled mixture importance sampling and information reuse.
Authors: Ehre, Max1, max.ehre@tum.de, Papaioannou, Iason1, Willcox, Karen E.2, Straub, Daniel1
Source: Computer Methods in Applied Mechanics & Engineering; Aug2021, Vol. 381, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 150146607
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Conditional reliability analysis in high dimensions based on controlled mixture importance sampling and information reuse.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=150146607
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.cma.2021.113826
    Languages:
      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: Conditional reliability analysis in high dimensions based on controlled mixture importance sampling and information reuse.
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            NameFull: Ehre, Max
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            NameFull: Papaioannou, Iason
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            NameFull: Willcox, Karen E.
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            – D: 01
              M: 08
              Text: Aug2021
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              Y: 2021
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              Value: 00457825
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              Value: 381
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            – TitleFull: Computer Methods in Applied Mechanics & Engineering
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