Contents
Scalars, Vectors, Matrices, and Tensors
Matrix-Vector Multiplication
Identity and Inverse Matrices
Linear Dependence and Span
Vector and Matrix Norms
Special Matrices and Vectors
Eigendecomposition
Singular Value Decomposition (SVD)
Moore-Penrose Pseudoinverse
The Trace Operator
Determinants
Principal Components Analysis (PCA)
Linear Algebra Codes https://github.com/jiwook021/Algorithms/tree/master/Linear_Algebra
Reference Book
Linear Algebra and Its Applications Book by David C Lay
Linear Algebra and Learning from Data Book by Gilbert Strang
