Matrix Methods
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Matrix Methods : Applied Linear Algebra

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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.
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Product details

  • Hardback | 432 pages
  • 192 x 232 x 30mm | 938.93g
  • Academic Press Inc
  • San Diego, United States
  • English
  • 3rd edition
  • 012374427X
  • 9780123744272
  • 2,175,371

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
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About Gabriel B. Costa

Father Gabriel B. Costa, Ph.D.
Department of Mathematical Sciences
United States Military Academy
West Point, NY
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