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What are the knowledge points about "mathematical modeling"?
Mathematical modeling is a method to describe practical problems with mathematical language and solve them through mathematical analysis and calculation. The following are some knowledge points about mathematical modeling:

Definition and classification of 1. model: model is an abstraction and simplification of the real world, including physical model and mathematical model. Mathematical model is a special model, which uses mathematical symbols and formulas to describe a phenomenon or process in the real world.

2. Basic steps of mathematical modeling: determining problems, establishing models, solving models, verifying models and analyzing results.

3. Common mathematical modeling methods: linear programming, nonlinear programming, dynamic programming, graph theory, probability theory, statistics, etc.

4. Application of mathematical modeling: Mathematical modeling is widely used in engineering technology, economic management, biomedicine, social science and other fields.

5. Mathematical modeling software: such as Matlab, Lingo, SPSS, SAS, etc.

6. Evaluation criteria of mathematical modeling: accuracy, reliability, stability and sensitivity of the model.

7. Problem analysis of mathematical modeling: including the definition, assumptions, variables and objective function of the problem.

8. Optimization methods of mathematical modeling: such as simplex method, cutting plane method, genetic algorithm, etc.

9. Data processing of mathematical modeling: including data collection, sorting, cleaning and analysis.

10. Interpretation of mathematical modeling results: reasonably explain the solution of the model and put forward strategies and suggestions to solve the problem.