CUMCM 2023 ProblemB

1. Introduction

Repo for CUMCM 2023 ProblemB

2. Problem Analysis

For problem, read ProblemB.

For analysis and solution, read our submitted report.

3. Code

Due to personal preference, we use Python, R and Kotlin to solve this problem respectively.

• Python: mainly for data processing and visualization

• R: mainly for statistical analysis and comparison

• Kotlin: mainly for algorithm implementation

  Kotlin code is in LittleEtx/MatheContest2023

3.1 Python

[python/curvature] 中所含代码用于计算海底某一深度等高线的曲率，求出等高线上曲率最小的点并进行可视化。

• data_interpolation.py: 对数据进行插值，使数据密度增加
• curvature.py: 计算某一深度等高线的曲率，进行 2D 以及 3D 可视化

该部分代码是我们在建模过程中的尝试，在最终的报告中并没有使用。

4. License

Apache License 2.0