Matrix Methods
Applied Linear Algebra
- 3rd Edition - September 4, 2008
- Authors: Richard Bronson, Gabriel B. Costa
- Language: English
Matrix Methods: Applied Linear Algebra, Third Edition, as a textbook, provides a unique and comprehensive balance between the theory and computation of matrices. The applic… Read more
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Description
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
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
Readership
Upper-level undergraduate and graduate students in applied mathematics, computer science, engineering and science
Table of contents
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
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
Product details
- Edition: 3
- Published: September 4, 2008
- Language: English
About the authors
About the authors
RB
Richard Bronson
Richard Bronson is a Professor of Mathematics and Computer Science at Fairleigh Dickinson University and is Senior Executive Assistant to the President. Ph.D., in Mathematics from Stevens Institute of Technology. He 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, Senior Executive Assistant to the President, Fairleigh Dickinson University, USAGC
Gabriel B. 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 has also co-authored another Academic Press book with Richard Bronson, Matrix Methods.
Affiliations and expertise
Visiting Professor, Department of Mathematical Sciences, United States Military Academy, West Point, NY, USAView book on ScienceDirect
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