Matrix Methods: Applied Linear Algebra and Sabermetrics / Edition 4

Matrix Methods: Applied Linear Algebra and Sabermetrics / Edition 4

ISBN-10:
0128184191
ISBN-13:
9780128184196
Pub. Date:
02/18/2020
Publisher:
Elsevier Science
ISBN-10:
0128184191
ISBN-13:
9780128184196
Pub. Date:
02/18/2020
Publisher:
Elsevier Science
Matrix Methods: Applied Linear Algebra and Sabermetrics / Edition 4

Matrix Methods: Applied Linear Algebra and Sabermetrics / Edition 4

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Overview

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.


Product Details

ISBN-13: 9780128184196
Publisher: Elsevier Science
Publication date: 02/18/2020
Edition description: 4th ed.
Pages: 512
Product dimensions: 7.50(w) x 9.25(h) x (d)

About the Author

Richard Bronson is a Professor of Mathematics and Computer Science at Fairleigh Dickinson University and is Senior Executive Assistant to the President. Ph.D., in Mathematics from Stevens Institute of Technology. He has written several books and numerous articles on Mathematics. He has served as Interim Provost of the Metropolitan Campus, and has been Acting Dean of the College of Science and Engineering at the university in New Jersey

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 has also co-authored another Academic Press book with Richard Bronson, Matrix Methods.

Table of Contents

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

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

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