Matrix Methods
Applied Linear Algebra
By- Richard Bronson, Fairleigh Dickinson University
- Gabriel B. Costa, United States Military Academy
Matrix Methods: Applied Linear Algebra, 3e, as a textbook, provides a unique and comprehensive balance between the theory and computation of matrices. The application of matrices is not just for mathematicians. The use by other disciplines has grown dramatically over the years in response to the rapid changes in technology. Matrix methods is the essence of linear algebra and is what is used to help physical scientists; chemists, physicists, engineers, statisticians, and economists solve real world problems.
Audience
Upper-level undergraduate and graduate students in applied mathematics, computer science, engineering and science
Hardbound, 432 Pages
Published: September 2008
Imprint: Academic Press
ISBN: 978-0-12-374427-2
Contents
- Chapter 1: Matrices Chapter 2: Simultaneous Linear Equations Chapter 3: The Inverse Chapter 4: Linear Programming Chapter 5: Determinants Chapter 6: Eigenvalues and Eigenvectors Chapter 7: Matrix Calculus Chapter 8: Linear Differential Equations Chapter 9: Markov Chains Chapter 10: Real Inner Products and Least Squares Appendix: Computational Tools and technology
