The function automatically checks whether the most likely x value (mode) lies inside the specified (min, max) interval. In case it is greater than the specified maximum value, the function interprets it as the maximum - and vice versa: max is interpreted as mode, so the function call triangular (1, 5, 10) is the same as triangular (1, 10, 5): it generates a sample of the Triangular distribution with the min value:1, max value: 10, and most likely value: 5.
The Triangular distribution is a continuous distribution bounded on
both sides.
The Triangular distribution is often used when no or little data is
available; it is rarely an accurate representation of a data set.
However, it is employed as the functional form of regions for fuzzy
logic due to its ease of use.
The Triangular distribution can take on very skewed forms including
negative skewness. For the exceptional cases where the mode is either
the min or max, the Triangular distribution becomes a right triangle.
Generates a sample of the Triangular distribution.
You can specify argument values in any order: (min, max. mode), or (min.mode,max). AnyLogic will automatically detect the argument with the maximum value, and set this value as the distribution's maximum. The same for most likely (mode) value.The function call triangular (1, 5, 10) is similar to triangular (1, 10, 5)
Name | Type | Description |
min | double | the minimum x value |
max | double | the maximum x value |
mode | double | the most likely x value |
Type | Description |
double | the generated sample |
Generates a sample of the Triangular distribution with
mode
set to
(min + max)/2. Is equivalent to triangular(min, (min + max)/2, max).
Name | Type | Description |
min | double | the minimum x value |
max | double | the maximum x value |
Type | Description |
double | the generated sample |
Generates a sample of the Triangular distribution using the specified random number generator.
The function automatically checks whether the most likely
x value (mode)
lies inside the specified (min,
max)
interval. In the case it is greater than the specified maximum value,
the function interprets it as the maximum - and vice versa: max is interpreted
as mode,
so the function call triangular
(1, 5, 10, r) is the same as triangular (1, 10, 5, r):
it generates a sample of the Triangular distribution with the
min value:1, max value: 10, and most likely value: 5.
Name | Type | Description |
min | double | the minimum x value |
max | double | the maximum x value |
mode | double | the most likely x value |
r | java.util.Random | the random number generator |
Type | Description |
double | the generated sample |