Discrete and continuous components are fundamental to better understand FRP. From the first introduction, one of the main axes is exactly the distinction between discrete and continuous. In the previous chapter, we analyzed many aspects related to these two components, but we never mentioned them. If we had so, then the argument could have been too complicated and theoretical.
By definition, discrete and continuous components can be described as the two main characteristics which FRP provides. In other words, they are the basics to apply time flow in our application or to improve our scenario of use.
We previously discussed the execution of the following function:
List.map (fun x -> x ** x)
While doing so, we introduced the concept of time flow to underline that every execution of the mathematical function power occurs step by step.
In the example, it seems that this scenario is continuous, because for every input value of the list, a new output value...
