Matrix methods : applied linear algebra

✍ Scribed by Richard Bronson; Gabriel B Costa

• Publisher: Elsevier/Academic Press
• Year: 2009
• Tongue: English
• Leaves: 433
• Edition: 3rd ed
• Category: Library

✦ Synopsis

"Matrix Methods: Applied Linear Algebra, 3e, as a textbook, provides a unique and comprehensive balance between the theory and computation of matrices. The application of matrices is not just for mathematicians. The use by other disciplines has grown dramatically over the years in response to the rapid changes in technology. Matrix methods is the essence of linear algebra and is what is used to help physical scientists; chemists, physicists, engineers, statisticians, and economists solve real world problems."--BOOK JACKET. Read more...

✦ Table of Contents

Content: Matrices --
Simultaneous linear equations --
The inverse --
An introduction to optimization --
Determinants --
Eigenvalues and eigenvectors --
Matrix calculus --
Linear differential equations --
Probability and Markov chains --
Real inner products and least-square --
Appendix : A word on technology.
Abstract:

Matrix methods is the essence of linear algebra and is what is used to help physical scientists; chemists, physicists, engineers, statisticians, and economists solve real world problems. This book covers applications like Markov chains, graph theory and Leontief Models. Read more...