DocumentCode
2364704
Title
Chance design costs-a distributional limit
Author
Stark, Robert M. ; Machida, Motoya
Author_Institution
Delaware Univ., Newark, DE, USA
fYear
1993
fDate
25-28 Apr 1993
Firstpage
269
Lastpage
270
Abstract
Among nonlinear mathematical optimization methods, those of geometric programming are highly prized for their engineering design oriented insights. Cost coefficients, related by the geometric inequality, can be regarded as chance variables. The optimality condition may suggest a lognormal probability distribution for the total design cost
Keywords
CAD; design engineering; geometric programming; log normal distribution; chance design costs; chance variables; cost coefficients; distributional limit; engineering design oriented insights; geometric inequality; geometric programming; lognormal probability distribution; nonlinear mathematical optimization methods; optimality condition; total design cost; Cost function; Design engineering; Mathematical programming; Operations research; Optimization methods; Particle measurements; Probability distribution; Radio access networks; Random variables; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Uncertainty Modeling and Analysis, 1993. Proceedings., Second International Symposium on
Conference_Location
College Park, MD
Print_ISBN
0-8186-3850-8
Type
conf
DOI
10.1109/ISUMA.1993.366758
Filename
366758
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