2023 Asia-Pacific Mathematical Modeling A Question Idea Analysis + Model + Code + Paper

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2023 Asia-Pacific Mathematical Modeling A Question Ideas: Updated as soon as possible after the competition starts, get the business card at the end of the article

2023 Asia-Pacific Mathematical Modeling Question B Ideas: Updated as soon as possible after the competition starts, get the business card at the end of the article

2023 Asia-Pacific Mathematical Modeling C Question Ideas: Updated as soon as possible after the competition starts, get the business card at the end of the article

To get ideas, click here to view business cards


2023 Asia-Pacific Mathematical Modeling A Question Ideas: Updated as soon as possible after the competition starts, get the business card at the end of the article

2023 Asia-Pacific Mathematical Modeling Question B Ideas: Updated as soon as possible after the competition starts, get the business card at the end of the article

2023 Asia-Pacific Mathematical Modeling C Question Ideas: Updated as soon as possible after the competition starts, get the business card at the end of the article

1. Competition introduction
        As an interdisciplinary science, mathematical modeling requires not only proficiency in mathematical knowledge, but also a deep understanding of practical problems and the ability to solve problems. Creative Thinking. The Asia-Pacific Cup Mathematical Modeling Competition aims to stimulate the creativity and teamwork spirit of young students and cultivate their ability to use mathematical methods to solve real-world challenges in practical problems.

Competition Highlights:

Realistic problem orientation: The topics selected for the competition are all derived from real life and industrial fields. Participants will face specific and complex challenges in the competition, requiring them to use mathematical modeling methods to provide practical solutions.

Teamwork: This competition encourages participants to form multidisciplinary teams to work together to tackle challenges. Through cooperation, team members can give full play to their respective professional advantages, form collaborative innovation, and improve the efficiency of problem solving.

Multi-level review: The review will be composed of professionals from academia and industry, who will comprehensively evaluate the participating teams based on their modeling methods, result performance, and paper quality. This will ensure that the review process is more objective and comprehensive.

2. Competition schedule
Registration deadline: November 22, 2023;

Competition start time: 06:00 on November 23, 2023;

Competition end time: 09:00 on November 27, 2023;

Deadline for paper submission: 09:00 on November 27, 2023;

Deadline for submission of commitment letter and attachments: 09:00 on November 27, 2023;

Competition results announcement time: before January 30, 2024.

3. How to win a prize
Winning a prize in a mathematical modeling competition usually requires the team to demonstrate excellent mathematical modeling skills, innovative thinking and paper expression ability when solving a given problem. Here are some tips to help your team do well in a mathematical modeling competition:

Deeply understand the problem: At the beginning of the competition, read the competition question carefully to ensure you have a deep understanding of the background, requirements, and constraints of the problem. Establishing a clear understanding of the problem is the key to success.

Teamwork: Mathematical modeling competitions are usually a teamwork process. Leverage the diverse skills of team members to ensure everyone contributes to the team's success. Effective communication and collaboration help solve multiple aspects of a problem.

Build an appropriate mathematical model: Make sure the mathematical model you choose effectively solves the problem. This may involve knowledge in statistics, calculus, linear algebra and other mathematical fields. Model building requires flexibility and creativity.

Data analysis and processing: For a given problem, data analysis and processing are critical steps. Ensure accurate and comprehensive analysis of data using appropriate statistical and computational methods.

Results validation and sensitivity analysis: Make sure your mathematical model is robust to changes in input parameters. Conduct verification and sensitivity analysis of the results to illustrate the reliability and stability of your model in different scenarios.

Clear paper writing: The paper should be clear and well-structured, including problem statement, model establishment, analysis process, result discussion, etc. Use appropriate mathematical symbols and diagrams to ensure reviewers can clearly understand your thinking

To get ideas, click here to view business cards

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Origin blog.csdn.net/weixin_45499067/article/details/134551562