Model preparation generally needs to write the edge method theory used in your paper, for example, Dijkstra or Floyd algorithm is used in graph theory, genetic algorithm is used in statistics, grey prediction and so on. Similar to the theoretical basis of these methods, it can be simply explained in model preparation because it is inconvenient to establish and solve the expansion model.

The role of this part of the model preparation is to make the paper clear and play a role from the shallow to the deep. Similar to model hypothesis and symbolic interpretation, it plays a paving role in this paper.

Introduction to mathematical modeling: Mathematical modeling is to establish a mathematical model according to actual problems, solve the mathematical model, and then solve the actual problems according to the results.

When it is necessary to analyze and study a practical problem from a quantitative point of view, people should use mathematical symbols and language to establish a mathematical model on the basis of in-depth investigation, understanding of object information, making simplified assumptions and analyzing internal laws.

Model preparation generally needs to write the edge method theory used in your paper, for example, Dijkstra or Floyd algorithm is used in graph theory, genetic algorithm is used in statistics, grey prediction and so on. Similar to the theoretical basis of these methods, it can be simply explained in model preparation because it is inconvenient to establish and solve the expansion model.