Being a pivotal of Monte Carlo algorithm that random counts are generated with a simple, economical and reliable method, in order to improve Monte Carlo algorithm, a technique to generate random counts with Logistic iterative equation, which is not only simple and dependable, but also according with the mustard by feasibility verification, is proposed.

The iteration equation of the alignment and error compensation is established,and the factors affecting the alignment accuracy and the solutions are studied as well.

Properties of solutions of a third order polynomial-like iterative equations in some characteristic conditions;

Algorithms for Iterative Roots and Iterative Equations and Their Stability;

Methods In addition to the original basic equation, another group iterative equation was used to evaluate the correspondent values of input data that did not lie within the convergence range.

The equation iteration method is used to study and develop the computer regression analysis program with multiple curves in non linear corresponding relations among the field measured data.

On a convergence theorem for Ishikawa iterates of psedo-compression image;

Pseudo almost periodic solution of a discrete logistic equation;

Global attractivity for nonautonomous variable delay-Logistic equation;

Global attractivity in a Logistic Equation;