
Matrix Methods
Applied Linear Algebra
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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
Product details
- No. of pages: 432
- Language: English
- Copyright: © Academic Press 2008
- Published: September 4, 2008
- Imprint: Academic Press
- eBook ISBN: 9780080922256
About the Authors
Richard Bronson
Richard Bronson has written several books and numerous articles on Mathematics. He has served as Interim Provost of the Metropolitan Campus, and has been Acting Dean of the College of Science and Engineering at the university in New Jersey.
Affiliations and Expertise
Professor of Mathematics and Computer Science, Fairleigh Dickinson University; Senior Executive Assistant to the President
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. He is a priest and a mathematician and holds many titles which he fills 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