1. Understand the problem: Make sure you fully understand the requirements and limitations of the problem. Look at the topic carefully and ask the instructor or teammates for help at any time if you have any questions.
2. Choose the appropriate model: according to the characteristics and requirements of the problem, choose the most appropriate mathematical model. Don't blindly pursue complexity, choose a simple model that can solve problems.
3. Data collection and processing: Make sure you have enough data to support your model. Pay attention to the quality and reliability of data when collecting data. When processing data, it is necessary to carry out appropriate statistical analysis and data cleaning to reduce errors and deviations.
4. Model solving and verification: use appropriate methods to solve the model and verify the accuracy and reliability of the results. Check whether the assumptions and preconditions of the model are met, and conduct sensitivity analysis to evaluate the stability and robustness of the model.
5. Interpretation and report of results: Explain the results of the model reasonably and compare with the actual situation. In the report, clearly describe the solution to the problem, the choice of model and the explanation of the results, so that the judges can understand and evaluate your work.
6. Time management: arrange your own time reasonably to ensure that you have enough time to complete the work at all stages. Make a detailed plan and complete each task within the specified time.
7. Teamwork: If you are a team, ensure good cooperation and communication among team members. A clear division of labor, everyone is responsible for their own tasks, and timely communication and coordination.
8. Check and revise: Before submitting, check your work carefully to make sure there are no spelling mistakes, grammatical mistakes or other low-level mistakes. If possible, ask others to help you check and revise your work.