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mathmodeling's Introduction

mathmodeling

基于python实现的数学建模相关代码，包含回归、分类、差分、聚类、时间序列分析、因子分析等

相关原理解释可见个人博客

  • 01 基于cvxpy、scipy的线性规划
  • 02 整数规划
  • 03 基于cvxpy、scipy的非线性规划
  • 05 基于networkx实现的一系列图算法和可视化，包括dijkstra、floyd、最大流等
  • 07 博弈论
  • 09 拉格朗日插值、最小二乘拟合、样条插值
  • 12 Lasso回归、岭回归、多元线性回归
  • 13 微分
  • 14 染色体遗传算法、差分、Lesile模型
  • 22 模糊聚类
  • 24 时间序列分析，包括ARIMA、ARMA模型、指数平滑法等
  • 29 距离判别法、Fisher判别法、层次聚类、KMeans聚类、PCA

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