Description

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.

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:
© 2009
Published:
Imprint:
Academic Press
eBook ISBN:
9780080922256
Print ISBN:
9780123744272

About the authors

Richard Bronson

Affiliations and Expertise

Fairleigh Dickinson University

Gabriel B. Costa

Affiliations and Expertise

United States Military Academy at West Point

Reviews

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.