期刊
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
卷 49, 期 4, 页码 683-687出版社
SPRINGER
DOI: 10.1007/s00158-013-1011-9
关键词
Max-min sample; Chebychev norm; Adaptive sampling; Reliability
资金
- National Science Foundation [CMMI-1029257]
- Directorate For Engineering
- Div Of Civil, Mechanical, & Manufact Inn [1029257] Funding Source: National Science Foundation
This brief note describes the generalization of the max-min sample that was originally used in the update of approximated feasible or failure domains. The generalization stems from the use of the random variables joint distribution in the sampling scheme. In addition, this note proposes a numerical improvement of the max-min optimization problem through the use of the Chebychev norm.
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