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What kind of knowledge does the mathematical modeling competition need?
List some books for you. You can find information online or borrow it from the library. Combinatorial optimization:

1。 Optimization method, (Yuan Yaxiang, China Academy of Sciences, Xing Wenxun) or (Yi Xue, Beijing University of Technology) can be used. Borrow as much as possible, and don't borrow if the content is repetitive.

The best content includes a lot of details, and approximate algorithms such as simulated annealing, neural network, genetic algorithm and ant colony algorithm should be prepared.

2。 Operational research and combinatorial optimization.

3。 graph theory

4。 Game theory, decision theory, etc.

5。 Software such as grey theory and fuzzy theory;

MATLAB related books

SPSS related books or EVIEW, EXCEL and other statistics related books.

WORD typesetting art

Software drawing books

Argot using computers and so on:

Pattern recognition, data structure and algorithm association, data mining, artificial intelligence and so on.

This aspect of data structure is related to algorithms, and data mining is necessary.

C++ has a set of white thick numerical methods, which is very interesting. Calculation method:

Numerical algebra, numerical solutions of differential equations (preferably applied, programmed, preferably not theoretical), matrix theory, numerical analysis.

Others, if it is related to calculation, especially in matlab, there are several books on numerical algorithms, many of which can be used directly. The mechanic or the University of Electronic Science and Technology of China forgot, and he has a bad memory, hehe.

Statistics and data processing:

The use of statistical software has been described above.

Statistical methods, etc

Cluster analysis correlation

Data mining association

Financial mathematics of stochastic process and time series analysis;

Correlation of financial mathematics

Background preparation of various financial mathematical models;

Books related to finance and securities

Especially for the mathematical modeling related to investment risk, it is enough to prepare one or two books, and it is enough to get a good one in the equation. Note: The above books are mainly applied, comprehensive and detailed. The more understanding, the better. Don't be too theoretical, otherwise it will be difficult to use. Our goal is to apply. We are pests. Go to the library to search for books!