Journal
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
Volume 49, Issue 4, Pages 683-687Publisher
SPRINGER
DOI: 10.1007/s00158-013-1011-9
Keywords
Max-min sample; Chebychev norm; Adaptive sampling; Reliability
Categories
Funding
- National Science Foundation [CMMI-1029257]
- Directorate For Engineering
- Div Of Civil, Mechanical, & Manufact Inn [1029257] Funding Source: National Science Foundation
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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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