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Topic types of mathematical modeling
Mathematical modeling topic types can be divided into the following categories:

Special topic of statistics and data analysis: It is required to analyze the given data, including data preprocessing, statistical description and correlation test.

Optimization problem: it is required to design an optimal scheme to maximize or minimize an index, such as minimizing cost and maximizing profit.

Mathematical model construction topic: it is required to establish a mathematical model according to practical problems, including determining variables, relationships, constraints, etc.

Special topic of stochastic process modeling: it is required to model and analyze stochastic systems, such as Monte Carlo simulation and Markov chain.

Graph theory problem: it is required to study problems with graph theory, such as shortest path, minimum spanning tree, etc.

Calculus problems: We need to apply calculus principles to solve problems, such as extreme value and curve fitting.

Linear algebra problem: it requires the application of linear algebra knowledge to solve problems, such as matrix inversion and matrix decomposition.