Examples
X=tlist(['distribution','state','probability'],[2,9,15],[0.25,0.5,0.25]) |  |  |
The distribution tlist data type.
The Attack Tree library works on finite sparse discrete probability distribution.
It uses a data type where the states are stored in a real number vector
and the probability
of each state are stored in an other vector of the same length.
The data
type contains two equal length vectors of scilab positive
real numbers stored in a scilab tlist.
The first argument which give the type of the tlist is the string vector
['distribution', 'state', 'probability' ]. The second is the state vector. It represents the set of states.
The third is the probability vector. It contains the probability of each state. The sum of the elements of
the latter must be equal to 1. The ith element
pi of
the probability vector is the probability of the ith element
si of the state vector.
This data type is called distribution tlist.
A tlist distribution where the state vector elements are sorted in ascending order is called a sorted distribution tlist.
In some internal function the tlist distribution data type is used with a state vector
which contains duplicate set. It is not set but a multiset. The probability of
a state s with a multiplicity greater than 1 is the sum of the probability of s in the probability vector. This data type is called
a multiset distribution tlist.
X=tlist(['distribution','state','probability'],[2,9,15],[0.25,0.5,0.25]) | | |