Applied Matrix Theory
In-depth introduction to theory and application of linear operators and matrices in finite-dimensional vector space; Determinants, Eigen values and eigenvectors; Theory of Linear Equations; Canonical forms and Jordan Canonical form; Matrix analysis of Differential and Difference equations; Singular value decomposition; Variational Principles and Perturbation Theory; Numerical methods.
