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I am curious to ask, why do many candidates have a good evaluation of Li Lin, a graduate student in mathematics?
Li Lin is now well evaluated by many candidates:

Li Lin's problem is that quantity is small and quality is high. You have to admit, people just have power. In the past 20 years, many people around me feel that it is not easy to start, but Li Lin's 108 question puts these two questions on this page. In this similarity matrix, he always has four questions and two bets. What is this concept?

There is really no need to paralyze yourself with 1000 and 1800 questions. One is that ordinary people can't finish it, and the other is that they don't please themselves Some teachers' questions are piled up blindly, and there are too many homogeneous questions, or they are difficult for the sake of difficulty. Criticizing the mock papers of some famous teachers here is really bad and wastes the energy of candidates. Li Lin's simulation questions are highly differentiated and close to the real questions.

Questions that can't be answered have a feeling of sudden realization. Some people don't want to see the answer for the second time because you still can't do the same problem. Big bosses who often have forty or fifty sets of simulation questions before exams.

It is better to save energy and time to understand the real questions and the simulation questions carefully made by Li Lin. According to the knowledge points he summarized, even this year's difficulty will not be lower than 120 points.

The review of postgraduate mathematics is generally divided into three stages:

Foundation, reinforcement, sprint.

If everyone has a certain basic knowledge of mathematics (at least in college, it is called general education), in the basic review stage, I recommend watching video lessons of corresponding subjects in combination with reviewing the whole book. Understand the knowledge first and the examples before you can do the problem. As for the information, I recommend Li Yongle's Book Review, Zhang Yu's Thirty-six Lectures and Li Lin's Book Review, all of which are OK.