Here are ten classical mathematical models: 1. Linear regression model: used to establish the linear relationship between the dependent variable and one or more independent variables, and can be used to predict and establish correlation. 2. Binomial distribution model: it is used to describe the success probability of a fixed number of experiments and is widely used to estimate the confidence and significance level in statistical data.

3. Normal distribution model: a continuous distribution, shaped like a bell curve, which can describe the distribution of many phenomena in nature, such as height and weight. 4. Markov chain model: it describes the evolution of state with time and is used in various applications, such as natural language processing and financial market analysis. 5.Black-Scholl model: used to analyze the risks and returns in the financial market, which can help investors make the best investment decisions. 6. Growth model: describes the growth process of organisms in nature, including population growth, cell division, plant growth, etc. , widely used in agriculture, biology and other fields. 7. Simulation model: used to simulate the behavior of complex systems, including meteorology, traffic, urban planning, etc. , and can help decision makers make the best decision.

8. Game theory model: used to analyze strategies and results in games, including cooperative games, non-cooperative games and zero-sum games. 9. Compression mode: used to compress data to reduce storage space and transmission time. Common compression models include huffman encoding and Lempel-Ziff coding. 10. Topological model: describes the changes and characteristics of geometric shapes, such as connectivity, dimension and curvature. , and widely used in geometry, physics, computer science and other fields.