Matrix Methods
Applied Linear Algebra and Sabermetrics

Reviews the methodology of matrices through theory, applications, and a rich offering of exercises across chemistry, physics, engineering, statistics and economics

Richard Bronson (Author), Gabriel B. Costa (Author)

9780128184196, Elsevier Science

Paperback, published 26 March 2020

512 pages, 100 illustrations
23.4 x 19 x 3.2 cm, 1 kg

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.

1. Matrices 2. Simultaneous linear equations 3. The inverse 4. An introduction to optimization 5. Determinants 6. Eigenvalues and eigenvectors 7. Matrix calculus 8. Linear differential equations 9. Probability and Markov chains 10. Real inner products and least square 11. Sabermetrics e An introduction 12. Sabermetrics e A module Appendix: A word on technology Answers and hints to selected problems

Subject Areas: Number theory [PBH], Algebra [PBF]