Matrix Methods

Applied Linear Algebra

By

  • Richard Bronson
  • Gabriel B. Costa

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.
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Audience

Upper-level undergraduate and graduate students in applied mathematics, computer science, engineering and science

 

Book information

  • Published: September 2008
  • Imprint: ACADEMIC PRESS
  • ISBN: 978-0-12-374427-2


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