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    Discussion: “Bayesian Optimal Design of Experiments for Inferring the Statistical Expectation of Expensive Black-Box Functions” (Pandita, P., Bilionis, I., and Panchal, J., 2019, ASME J. Mech. Des., 141(10), p. 101404)

    Source: Journal of Mechanical Design:;2021:;volume( 144 ):;issue: 005::page 55501-1
    Author:
    Gong, Xianliang
    ,
    Pan, Yulin
    DOI: 10.1115/1.4053112
    Publisher: The American Society of Mechanical Engineers (ASME)
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      Discussion: “Bayesian Optimal Design of Experiments for Inferring the Statistical Expectation of Expensive Black-Box Functions” (Pandita, P., Bilionis, I., and Panchal, J., 2019, ASME J. Mech. Des., 141(10), p. 101404)

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    contributor authorGong, Xianliang
    contributor authorPan, Yulin
    date accessioned2022-05-08T08:27:31Z
    date available2022-05-08T08:27:31Z
    date copyright12/17/2021 12:00:00 AM
    date issued2021
    identifier issn1050-0472
    identifier othermd_144_5_055501.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4283946
    publisherThe American Society of Mechanical Engineers (ASME)
    titleDiscussion: “Bayesian Optimal Design of Experiments for Inferring the Statistical Expectation of Expensive Black-Box Functions” (Pandita, P., Bilionis, I., and Panchal, J., 2019, ASME J. Mech. Des., 141(10), p. 101404)
    typeJournal Paper
    journal volume144
    journal issue5
    journal titleJournal of Mechanical Design
    identifier doi10.1115/1.4053112
    journal fristpage55501-1
    journal lastpage55501-3
    page3
    treeJournal of Mechanical Design:;2021:;volume( 144 ):;issue: 005
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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