| Review: |
This is a textbook for beginning graduate-level students. ‘Matrix analysis’ here includes linear algebra and matrix theory as well as their intrinsic interaction with and application to linear dynamic systems (systems of linear differential or difference equations). Chapters cover: vector spaces; linear transformations; the Moore–Penrose pseudouniverse; singular value decomposition; linear equations; projections, inner products spaces, and norms; linear least-squares problems; eigenvalues and eigenvectors; canonical forms; linear differential and difference equations; generalized eigenvalues problems; and Kronecker products. |