# discrete random variable

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## dis·crete ran·dom var·i·a·ble

a random variable that may assume a countable number of values, each with a probability strictly greater than zero.
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Consider the following geometric programming problem subject to max-product fuzzy relational constraints with discrete variables:
The first version uses discrete variables, while the second version uses continuous variables.
These variables can be divided into two categories as continuous variables and discrete variables. Actually, in practical engineering applications, discrete variables are used commonly as design or optimization variables, cross-sectional areas of the structural members, for instance.
For k, l [member of] Z and a given order function v(x) : Z [right arrow] R, the function of two discrete variables is defined by its values: [a.sup.[v(l)]](k).
The purpose of a Parametrized Correlation Method is to determine a relationship between two sets of stochastic discrete variables. In statistics, the "correlation" concept has a very specific meaning.
The efficiency of the proposed optimizer was tested via the optimization of several truss structures with discrete variables (Ali et al, 2012).
In response, we have experimented with measuring discrete variables of behavior, developing distance learning programs, evaluating employee morale, reengineering processes, moving training to be just-in-time, and a barrage of other well-meaning efforts; always remaining focused on improving how we perform, while rarely defining and measuring the required performance.
Discrete variables of metabolic syndrome, on the other hand, can be calculated [or rather, counted] in a convenient manner, which is feasible even in a busy practice.
DataMontage enhances data review, decision support, and real-time monitoring systems for diverse applications in which researchers, engineers, planners, and analysts must rapidly detect temporal patterns spanning many continuous and discrete variables and events in order to interpret complex data and reach time-critical decisions.
According to the best of our knowledge model II is the ever first time proposed MOO test problem which involves all discrete variables, the discrete search space and multiple alternative optima.
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