Matrix Methods

Applied Linear Algebra and Sabermetrics

Häftad, Engelska, 2020

1 001 kr

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Beskrivning

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

Produktinformation

Utgivningsdatum:2020-03-26
Mått:191 x 235 x 28 mm
Vikt:1 000 g
Format:Häftad
Språk:Engelska
Antal sidor:512
Upplaga:4
Förlag:Elsevier Science
ISBN:9780128184196

Utforska kategorier

Talteori inom Naturvetenskap och teknik
Algebra inom Naturvetenskap och teknik

Mer om författaren

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.

Innehållsförteckning

1. Matrices2. Simultaneous linear equations3. The inverse4. An introduction to optimization5. Determinants6. Eigenvalues and eigenvectors7. Matrix calculus8. Linear differential equations9. Probability and Markov chains10. Real inner products and least square11. Sabermetrics e An introduction12. Sabermetrics e A moduleAppendix: A word on technologyAnswers and hints to selected problems