Mathematics uses linear algebra more than any other topic, if possible. It is crucial to many areas of physics, engineering, statistics, computer science, and pure and applied mathematics.

Matrices, Moments and Quadrature; Structured Approaches to General Inverse Eigenvalue Problems; Eigenvalue Problems; Nonnegative Inverse Elementary Divisors Problem; Some Recent Advances in Nonlinear Inverse Scattering in 2D; and Likelihood Ratio Tests in Multivariate Linear Model are the six chapters in the textbook.

A large selection of applications and examples are used to emphasize the methods as they are used to show the concepts. This book specifically focuses on linear mathematics by presenting interesting issues in applied linear algebra.