Pseudorandom generation is mostly based on logistic model. The model formula of (chaotic function) is x (n+1) = u * x (n) * (1-x (n)), where u belongs to and x belongs to (0,1). When the value of u is greater than 3.7, the discrete form of the function is better. When the value of u is determined, an initial value of x is generated, and then a set of random sequences can be obtained through iteration. In order to obtain better discreteness, the first 200 x's obtained by general iteration can be discarded.

When I was in college, I probably learned about this function and wrote an article for reference.

Chaotic sequence -WuRang