Title :
Chance design costs-a distributional limit
Author :
Stark, Robert M. ; Machida, Motoya
Author_Institution :
Delaware Univ., Newark, DE, USA
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;
Conference_Titel :
Uncertainty Modeling and Analysis, 1993. Proceedings., Second International Symposium on
Conference_Location :
College Park, MD
Print_ISBN :
0-8186-3850-8
DOI :
10.1109/ISUMA.1993.366758
