Matrix Methods
3rd Edition
Applied Linear Algebra
Resources
Secure Checkout
Personal information is secured with SSL technology.Free Shipping
Free global shippingNo minimum order.
Description
Matrix Methods: Applied Linear Algebra, Third Edition, 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.
Key Features
- Applications like Markov chains, graph theory and Leontief Models are placed in early chapters
- Readability- The prerequisite for most of the material is a firm understanding of algebra
- New chapters on Linear Programming and Markov Chains
- Appendix referencing the use of technology, with special emphasis on computer algebra systems (CAS) MATLAB
Readership
Upper-level undergraduate and graduate students in applied mathematics, computer science, engineering and science
Table of 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
Details
- No. of pages:
- 432
- Language:
- English
- Copyright:
- © Academic Press 2009
- Published:
- 4th September 2008
- Imprint:
- Academic Press
- Hardcover ISBN:
- 9780123744272
- eBook ISBN:
- 9780080922256
About the Author
Richard Bronson
Fairleigh Dickinson University, NJ, USA
Affiliations and Expertise
Fairleigh Dickinson University, NJ, USA
Gabriel Costa
Gabriel B. Costa is currently a visiting professor at the United States Military Academy at West Point and is on the faculty at Seton Hall. And is an engineer. He holds many titles and fills them with distinction. He has a B.S., M.S. and Ph.D. in Mathematics from Stevens Institute of Technology. He pioneered one of the first courses in Sabermetrics at West Point, and he has also co-authored two other Academic Press books with Richard Bronson, Matrix Methods, Third Edition, as well as with John T. Saccoman, Linear Algebra: Algorithms, Applications, and Techniques, Third Edition.
Affiliations and Expertise
Department of Mathematical Sciences, United States Military Academy, West Point, NY, USA