Matrix Analysis

4-None

Eigenvalues, eigenvectors and similarity; Unitary equivalence and normal matrices; QR factorization; Least squares; Singular Value decomposition; Moore-Penrose generalized inverse; Hermitian and symmetric matrices; Variational characterization of eigenvalues; Positive definite matrices; Nonnegative matrices; Perron-Frobenius Theorem.