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Matrix Methods. Edition No. 4

  • ID: 4844354
  • Book
  • April 2020
  • 512 Pages
  • Elsevier Science and Technology
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Matrix Methods: Applied Linear Algebra and Sabermetrics, Fourth Edition, provides a unique and comprehensive balance between the theory and computation of matrices. Rapid changes in technology have made this valuable overview on the application of matrices relevant not just to mathematicians, but to a broad range of other fields. Matrix methods, the essence of linear algebra, can be used to help physical scientists-- chemists, physicists, engineers, statisticians, and economists-- solve real world problems.

  • Provides early coverage of applications like Markov chains, graph theory and Leontief Models
  • Contains accessible content that requires only a firm understanding of algebra
  • Includes dedicated chapters on Linear Programming and Markov Chains
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CHAPTER 1 Matrices CHAPTER 2 Simultaneous linear equations CHAPTER 3 The inverse CHAPTER 4 An introduction to optimization CHAPTER 5 Determinants CHAPTER 6 Eigenvalues and eigenvectors CHAPTER 7 Matrix calculus CHAPTER 8 Linear differential equations CHAPTER 9 Probability and Markov chains CHAPTER 10 Real inner products and least square CHAPTER 11 Sabermetrics e An introduction CHAPTER 12 Sabermetrics e A module Appendix: A word on technology Answers and hints to selected problems

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Bronson, Richard
Fairleigh Dickinson University, NJ, USA
Costa, Gabriel B.
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 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.
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