Elementary Linear Algebra 11th Edition, By Howard Anton

This textbook is an expanded version of “Elementary Linear Algebra”, eleventh edition, by Howard Anton. The first nine chapters of this book are identical to the first nine chapters of that text; the tenth chapter consists of twenty applications of linear algebra drawn from business, economics, engineering, physics, computer science, approximation theory, ecology, demography, and genetics. The applications are largely independent of eachother, and each includes a list of mathematical prerequisites.

Chapters 1–9 include simpler treatments of some of the applications covered in more depth in Chapter 10.

Table of Contents:

1. Systems of Linear Equations and Matrices

2. Determinants

3. Euclidean Vector Spaces

4. General Vector Spaces

5. Eigenvalues and Eigenvectors

6. Inner Product Spaces

7. Diagonalization and Quadratic Forms

8. General Linear Transformations

9. Numerical Methods

10. Applications of Linear Algebra

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