![]() |
Dakota Reference Manual
Version 6.15
Explore and Predict with Confidence
|
Aleatory uncertain variable - uniform
This keyword is related to the topics:
Alias: none
Argument(s): INTEGER
Default: no uniform uncertain variables
Child Keywords:
Required/Optional | Description of Group | Dakota Keyword | Dakota Keyword Description | |
---|---|---|---|---|
Required | lower_bounds | Specify minimum values | ||
Required | upper_bounds | Specify maximium values | ||
Optional | initial_point | Initial values for variables | ||
Optional | descriptors | Labels for the variables |
The number of uniform uncertain variables and their distribution lower and upper bounds are required specifications, while variable descriptors is an optional specification. The uniform distribution has the density function:
where and
are the upper and lower bounds of the uniform distribution, respectively. The mean of the uniform distribution is
and the variance is
.
This distribution is a special case of the more general beta distribution.
For some methods, including vector and centered parameter studies, an initial point is needed for the uncertain variables. When not given explicitly, these variables are initialized to their means.