线性代数与机器学习的优化习题答案（教师手册）Linear Algebra and Optimization for Machine Learning
Charu C. Aggarwal - Instructor Solution Manual To Linear Algebra and Optimization for Machine Learning

Contents
1 Linear Algebra and Optimization: An Introduction
2 Linear Transformations and Linear Systems
3 Diagonalizable Matrices and Eigenvectors
4 Optimization Basics: A Machine Learning View
5 Optimization Challenges and Advanced Solutions
6 Lagrangian Relaxation and Duality
7 Singular Value Decomposition
8 Matrix Factorization
9 The Linear Algebra of Similarity
10 The Linear Algebra of Graphs
11 Optimization in Computational Graphs