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Mathematical modeling national competition questions
I subjectively think that question B is easier to do.

Question A involves the clustering problem in multivariate statistics, but he gives too little data, and the conclusions of various theorems in statistics are not well supported by data. He can only make one-sided ideal assumptions. There is nothing wrong with this kind of question, but the paper must choose words carefully, otherwise it will be difficult to convince the judges to give awards, and perhaps some multi-factor parameter hypothesis tests can add points. In short, it feels very floating, and there is no down-to-earth feeling. Summary is a very easy and easy conclusion, but I don't even know if it is the optimal solution, and it seems lucky to win the prize.

Question B is a simple personnel allocation problem. The first question is more interesting. According to the quality you define, there are different optimal solutions. The key is to think more about the definition of good or bad arrangement. At the beginning, some definitions and ideas are given. The three groups must brainstorm, think more and assume more, and do the questions. The second problem is not mainly about the minimum number of equations, so the computer can't solve it. This is a technical job. If you can give a reasonable model and combine EXCEL, LINGO and MATLAB beautifully, you will almost certainly win the prize. This is also the reason why I think question B is simple, because it is more traceable.