27. Positive Definite Matrices and Minima

28. Similar Matrices and Jordan Form

25. Symmetric Matrices and Positive Definiteness

2. Elimination with Matrices.

16. Projection Matrices and Least Squares

19. Determinant Formulas and Cofactors

Positive semidefinite and positive definite matrices (visualize)

7. Solving Ax = 0: Pivot Variables, Special Solutions

3. Multiplication and Inverse Matrices

What Does It Mean For a Matrix to be POSITIVE? The Practical Guide to Semidefinite Programming(1/4)

30. Linear Transformations and Their Matrices

Why there are no 3D complex numbers

22. Diagonalization and Powers of A

1. The Geometry of Linear Equations

Eigenvectors and eigenvalues | Chapter 14, Essence of linear algebra

15. Projections onto Subspaces

5. Transposes, Permutations, Spaces R^n

QR decomposition (for square matrices)

But what is the Fourier Transform? A visual introduction.

10. The Four Fundamental Subspaces