Summer Training Program

Summer Training Program

During the summer training last year, the plan was quite good at the beginning, but it was not well implemented. The expected results are very good, but after the conclusion, we find that the harvest is far from what we thought at the time. Later I thought about it, mainly because I wasted a lot of time and did not make full use of the time to read books. Therefore, this situation should be avoided during the summer training this year.

November 20-November 20: Review the dynamic planning and compress the learning status. Specifically, I reviewed some dynamic planning questions in the previous week, learned state compression in the next week, and some difficult dynamic planning.

July 21-7: I learned some elementary math and made some questions about it.

November 10-November 10: Learning priority queue, Harman tree, and red/black tree.

September 15-November 15: Review tree arrays and line tree for some questions.

September 25-November 25: Learning Network streams.

March 31-31: review questions such as the shortest path, bipartite graph matching, and topological sorting.

September 7-September 7: learning the difference constraint system.

September 17-November 17: Learn geometric knowledge, line intersection, face intersection and other knowledge points.

April 25-May 25: I learned some elementary number theory knowledge and made relevant questions.

September 30-November 30: Do some enumeration and simulation questions.

 

Since this summer vacation lasts for more than a month, and the training time is relatively loose, you can have enough time to read some books. This is what was lacking in the summer vacation last year. After dinner and getting up early in the evening, you have time to read books. Therefore, you must read "combined mathematics", "compilation principles", and ,《AlgorithmThe introduction and the black book also need to read more, especially the black book. In addition, before February, read some mathematical modeling materials and learn about maltalb, and prepare for the mathematical modeling in February.