Least Squares, Determinants and Eigenvalues (M-I-T)

• Orthogonal Vectors and Subspaces (M-I-T)
• Projections onto Subspaces (M-I-T)
• Projection Matrices and Least Squares (M-I-T)
• Properties of Determinants (M-I-T)
• Determinant Formulas and Cofactors (M-I-T)
• Cramer's Rule, Inverse Matrix and Volume (M-I-T)
• Eigenvalues and Eigenvectors (M-I-T)
• Diagonalization and Powers of A (M-I-T)
• Differential Equations and exp(At) (M-I-T)
• Markov Matrices; Fourier Series (M-I-T)