fubostudy / Optimal-Method

《最优化方法》实验库

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Optimal-Method

本仓库是笔者学习优化理论的实验库。

教材

  1. Boyd, S., & Vandenberghe, L. (2018). Introduction to applied linear algebra: vectors, matrices, and least squares. Cambridge university press.(如需要此教材参考答案可联系笔者)
  2. Axler, S. (2015). Linear algebra done right (Vol. 2). New York: Springer.

学习大纲

Vector

  1. Vector
  2. Linear functions
  3. Norm and distance
  4. Clustering ( k-means, optimization conditions)
  5. Linear independence

Matrices

  1. Matrices (Matrix norm)
  2. Linear equations
  3. Matrix multiplication
  4. Matrix inverses

Least squares

  1. Least squares
  2. Multi-objective least squares
  3. Constrained least squares
  4. Nonlinear least squares

实验报告

  1. EXP1: K-Means聚类之Python实现手写数字图像MNIST分类

  2. EXP2: Matlab实现QR 分解 (Gram–Schmidt & Householder)

  3. EXP3: Matlab实现最小二乘法优化模型(正规方程 & 梯度下降法)

About

《最优化方法》实验库

License:MIT License


Languages

Language:Python 55.4%Language:MATLAB 44.6%