The ExponentialDistribution type exposes the following members.
Used by the InitializationManager in the sequenced execution of an initialization protocol.
Determines whether the specified object is equal to the current object.(Inherited from Object.)
Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.(Inherited from Object.)
Serves as the default hash function.(Inherited from Object.)
Serves up the next double in the distribution.
Gets the Type of the current instance.(Inherited from Object.)
Gets the Y (distribution) value with the specified X (cumulative probability) value. For example, if the caller wishes to know what Y value will, with 90% certainty, always be greater than or equal to a value returned from the distribution, he would ask for GetValueWithCumulativeProbability(0.90);
Note: The median value of the distribution will be GetValueWithCumulativeProbability(0.50);
Initializes this ExponentialDistribution in the context of the specified model. Requires execution against the Sage intialization protocol. Guids specified are those of other objects in the model which this object must interact during initialization.
Performs the part of object initialization that pertains to the fields associated with this object's being an implementer of IModelObject.
Creates a shallow copy of the current Object.(Inherited from Object.)
Sets the interval on which the CDF is queried for X. The RNG internally generates a number 'x' on (0..1), and CDF(x) is the output random number on the distribution. For the purpose of generating a schedule, running monte-carlo simulations of schedules and other related tasks, we may want to generate randoms on just a portion of that CDF, say instead of (0..1), perhaps (0..0.95), or if we want the mean value, we would use an interval of (0.5,0.5).
Returns a string that represents the current object.(Inherited from Object.)