Description

# Matrix Methods (3^{rd} Ed.)

Applied Linear Algebra

## Authors: Bronson Richard, Costa Gabriel B.

Language: Anglais## Subject for *Matrix Methods*:

77.27 €

In Print (Delivery period: 14 days).

Add to cart the livre of Bronson Richard, Costa Gabriel B.
Publication date: 12-2008

432 p. · 19.1x23.5 cm · Hardback

432 p. · 19.1x23.5 cm · Hardback

## Description

/li>## Contents

/li>## Readership

/li>## Biography

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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.

* Applications like Markov chains, graph theory and Leontief Models are placed in early chapters

* Readability- The prerequisite for most of the material is a firm understanding of algebra

* New chapters on Linear Programming and Markov Chains

* Appendix referencing the use of technology, with special emphasis on computer algebra systems (CAS) MATLAB

* Applications like Markov chains, graph theory and Leontief Models are placed in early chapters

* Readability- The prerequisite for most of the material is a firm understanding of algebra

* New chapters on Linear Programming and Markov Chains

* Appendix referencing the use of technology, with special emphasis on computer algebra systems (CAS) MATLAB

Chapter 1: Matrices

Chapter 2: Simultaneous Linear Equations

Chapter 3: The Inverse

Chapter 4: Linear Programming

Chapter 5: Determinants

Chapter 6: Eigenvalues and Eigenvectors

Chapter 7: Matrix Calculus

Chapter 8: Linear Differential Equations

Chapter 9: Markov Chains

Chapter 10: Real Inner Products and Least Squares

Appendix: Computational Tools and technology

Chapter 2: Simultaneous Linear Equations

Chapter 3: The Inverse

Chapter 4: Linear Programming

Chapter 5: Determinants

Chapter 6: Eigenvalues and Eigenvectors

Chapter 7: Matrix Calculus

Chapter 8: Linear Differential Equations

Chapter 9: Markov Chains

Chapter 10: Real Inner Products and Least Squares

Appendix: Computational Tools and technology

Upper-level undergraduate and graduate students in applied mathematics, computer science, engineering and science

Fairleigh Dickinson University, NJ, USA

Father Gabriel B. Costa, Ph.D.

Department of Mathematical Sciences

United States Military Academy

West Point, NY

Father Gabriel B. Costa, Ph.D.

Department of Mathematical Sciences

United States Military Academy

West Point, NY

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