4 Drawing Vector
5 Dot Products9 Vector Space Dimensions
10 Matrices, Addition and Scalar Multiplication11 Matrix Multiplication
12 Fundamental Question:16 Elimination and Factorization
17 Transpositions and Permutations
18 Vector Spaces and Subspaces
19 The Nullspace of a Matrix
20 The Rank and Row Reduced Form
21 Solutions to
22 Independence, Basis, and Dimension
23 Dimension of the Four Subspaces
24 Orthogonality
25 Projections
26 Least Square Approximations
27 Orthogonal Bases and Gram-Schmidt
28 Determinants
29 Permutations and Cofactors
30 Cramer's Rule
31 Eigenvalues and Eigenvectors32 Diagonalizing a Matrix
33 Symmetric Matrices
34 Positive Definite and Positive Semi-Definite