MATHEMATICAL MODELING COMPETITION METHODS AND EXPERIENCE SHARING: IN-DEPTH ANALYSIS BASED ON MULTIPLE CONTEST PROBLEMS

As a highly comprehensive discipline competition, the mathematical modeling contest integrates mathematical theory, computer technology, and practical problem-solving skills, providing a broad interdisciplinary practice platform for students. This paper selects typical problems from three competitions—the 2024 "Jindi Cup" Shanxi Province College Students Mathematical Modeling Contest, the Third National College Students Big Data Analysis Technology Skills Competition, and the 10th Digital Dimension Cup International Collegiate Mathematical Modeling Challenge—as research objects. This paper conducts a deep analysis of the methods and practical experience in mathematical modeling competitions, detailing specific approaches for key stages such as data processing, model construction/selection, and result optimization/verification. A comprehensive and systematic analysis is performed on the non-awarded work "Evaluation of Urban Resilience and Sustainable Development Capacity," providing reflections on deficiencies in data quality, model design, and paper composition. These insights aim to offer directions for improvement to future participants, thereby enhancing their comprehensive abilities and competition performance.