1. Understand the rules and grading standards of the competition: read the rules and grading standards of the competition carefully to ensure that you clearly understand the requirements and expectations of the competition.
2. Establish a suitable model: according to the competition topic, select a suitable mathematical model to establish and analyze. We must find out the essence of the problem and find a suitable model to solve it. For problems that need data support, ensure the accuracy and integrity of the data. When necessary, the data should be preprocessed and cleaned so as to be better applied to modeling and analysis.
3. Innovative thinking: try to put forward unique solutions and methods. Innovative thinking can make your model more competitive and impress the judges. Convert the model into actual results, and verify and test it. Make sure your model is feasible and accurate in practical application.
4. Data visualization and report writing: Use intuitive charts and data visualization tools to show your research results. At the same time, write a clear and accurate report explaining your modeling process, results and conclusions.
5. Time management and strategic planning: During the competition time, allocate time reasonably, formulate strategies and plans, and ensure that the tasks are completed on time and the quality is guaranteed. Rehearse and rehearse before submission, accept feedback and opinions from others, and make improvement and perfection.
6. Practice and experience accumulation: by participating in similar competitions, reading relevant literature, participating in training, etc. I constantly improve my mathematical modeling ability and experience.
Brief introduction of mathematical modeling competition
Mathematical modeling competition is a kind of competition activity which uses mathematical methods to establish mathematical models and aims at solving practical problems. The purpose of this competition is to cultivate mathematical modeling, innovative thinking, teamwork and problem-solving ability.
The problems of mathematical modeling competition are often closely related to real life and scientific and technological development, involving a wide range of fields, such as finance and economy, environment and energy, transportation and logistics, medical care and biology, engineering and optimization, and so on. These problems may require the comprehensive application of mathematical knowledge and methods, including but not limited to calculus, probability statistics, linear algebra, optimization theory, data processing and simulation.