Applied linear algebra

Matrices are used in many fields such as statistics, econometrics, mathematics, natural sciences and engineering. They provide a concise, simple method for describing long and complicated computations. This is a comprehensive handbook and dictionary of terms for matrix theory "This text aims to teach basic methods and algorithms used in modern, real problems that are likely to be encountered by engineering and science students - and to foster understanding of why mathematical techniques work and how they can be derived from first principles. No text goes as far (and wide) in applications. The authors present applications hand in hand with theory, leading students through the reasoning that leads to the important results, and provide theorems and proofs where needed. Because no previous exposure to linear algebra is assumed, the text can be used for a motivated entry-level class as well as advanced undergraduate and beginning graduate engineering/applied math students." -- Publisher's description. Chapter 1. Linear Algebraic Systems -- Chapter 2. Vector Spaces and Bases -- Chapter 3. Inner Products and Norms --- Chapter 4. Minimization and Least Squares Approximation -- Chapter 5. Orthogonality -- Chapter 6. Equilibrium -- Chapter 7. Linearity -- Chapter 8. Eigenvalues -- Chapter 9. Linear Dynamical Systems -- Chapter 10. Iteration of Linear Systems -- Chapter 11. Boundary Value Problems in One Dimension