Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
The output file is "The-Art-of-Linear-Algebra.pdf"
I tried intuitive visualizations of important concepts introduced in "Linear Algebra for Everyone".
This is aimed at promoting understanding of vector/matrix calculations and algorithms from the perspectives of matrix factorizations. They include Column-Row (CR), Gaussian Elimination (LU), Gram-Schmidt Orthogonalization (QR), Eigenvalues and Diagonalization (Q Lambda Q^T), and Singular Value Decomposition (U Sigma V^T).
