Matrix Methods: Applied Linear Algebra and Sabermetrics

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 algebraIncludes dedicated chapters on Linear Programming and Markov Chains INDICE: 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

• ISBN: 978-0-12-818419-6
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 512
• Fecha Publicación: 18/02/2020
• Nº Volúmenes: 1
• Idioma: Inglés