The national competition is divided into undergraduate group and specialist group, with two questions in each group over the years (one question was added on 20 19). Although the number of questions has changed, the competition questions are nothing more than evaluation, optimization and prediction.

As long as the meaning of the optimization problem is correctly understood and the model is correct, it can be solved normally and has a reference answer. As long as the solution is near the reference answer, you will basically win the prize. For non-operational optimization, it is more complicated, with all kinds of questions and generally no reference answers. As long as you have ideas and methods, you will get good results.

So generally speaking, when the optimization problem is simple, there are more people who do optimization than those who don't. But when it comes to more complicated things, it is the other way around. As far as the number of winners is concerned, the number of winners at all levels of the two types of questions is similar. At this time, if there are fewer people who do A, the winning rate will be much higher. Therefore, when the number of topics varies greatly, you should choose one with a relatively small number of people to do it.

When the number of topics is relatively average, I choose what I am good at. Of course, it is impossible to know the proportion of this topic, so it is necessary to realize small-scale interaction. Because it is the evaluation of the competition area from the beginning, we should interact in a small range and try our best to behave in our own school, otherwise we are killing each other.