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Small-noise approximation for Bayesian optimal experimental design with nuisance uncertainty (vol 399, 115320, 2022)
被引:0
|
作者
:
Bartuska, Arved
论文数:
0
引用数:
0
h-index:
0
机构:
Rhein Westfal TH Aachen, Dept Math, Gebaude 1953 1 OG, Pontdriesch 14-16,161, D-19531 Aachen, Germany
Rhein Westfal TH Aachen, Dept Math, Gebaude 1953 1 OG, Pontdriesch 14-16,161, D-19531 Aachen, Germany
Bartuska, Arved
[
1
]
Espath, Luis
论文数:
0
引用数:
0
h-index:
0
机构:
Univ Nottingham, Sch Math Sci, Nottingham NG7 2RD, England
Rhein Westfal TH Aachen, Dept Math, Gebaude 1953 1 OG, Pontdriesch 14-16,161, D-19531 Aachen, Germany
Espath, Luis
[
2
]
论文数:
引用数:
h-index:
机构:
Tempone, Raul
[
1
,
3
,
4
]
机构
:
[1]
Rhein Westfal TH Aachen, Dept Math, Gebaude 1953 1 OG, Pontdriesch 14-16,161, D-19531 Aachen, Germany
[2]
Univ Nottingham, Sch Math Sci, Nottingham NG7 2RD, England
[3]
King Abdullah Univ Sci & Technol KAUST, Comp Elect & Math Sci & Engn Div CEMSE, Thuwal 239556900, Saudi Arabia
[4]
Rhein Westfal TH Aachen, Math Uncertainty Quantificat, Aachen, Germany
来源
:
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
|
2023年
/ 410卷
关键词
:
D O I
:
10.1016/j.cma.2023.115995
中图分类号
:
T [工业技术];
学科分类号
:
08 ;
摘要
:
引用
收藏
页数:6
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