Matrix Methods: Applied Linear Algebra and Sabermetrics, Fourth Edition, provides a unique and comprehensive balance between the theory and computation of matrices. Rapid changes in technology have made this valuable overview on the application of matrices relevant not just to mathematicians, but to a broad range of other fields. Matrix methods, the essence of linear algebra, can be used to help physical scientists-- chemists, physicists, engineers, statisticians, and economists-- solve real world problems.
- Provides early coverage of applications like Markov chains, graph theory and Leontief Models
- Contains accessible content that requires only a firm understanding of algebra
- Includes dedicated chapters on Linear Programming and Markov Chains
1. Matrices 2. Simultaneous Linear Equations 3. The Inverse 4. Linear Programming 5. Determinants 6. Eigenvalues and Eigenvectors 7. Matrix Calculus 8. Linear Differential Equations 9. Markov Chains 10. Real Inner Products and Least Squares
Appendix: Computational Tools and technology
Fairleigh Dickinson University, NJ, USA
Costa, Gabriel B.
Father Gabriel B. Costa, Ph.D., Department of Mathematical Sciences, United States Military Academy, West Point, NY, USA