Schaum's Outline of Linear Algebra

Schaum's Outline of Linear Algebra

by Seymour Lipschutz, Marc Lipson
Schaum's Outline of Linear Algebra

Schaum's Outline of Linear Algebra

by Seymour Lipschutz, Marc Lipson

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Overview

Schaum's has Satisfied Students for 50 Years.

Now Schaum's Biggest Sellers are in New Editions!

For half a century, more than 40 million students have trusted Schaum's to help them study faster, learn better, and get top grades. Now Schaum's celebrates its 50th birthday with a brand-new look, a new format with hundreds of practice problems, and completely updated information to conform to the latest developments in every field of study.

Schaum's Outlines-Problem Solved

More than 500,000 sold!

Linear algebra is a foundation course for students entering mathematics, engineering, and computer science, and the fourth edition includes more problems connected directly with applications to these majors. It is also updated throughout to include new essential appendices in algebraic systems, polynomials, and matrix applications.


Product Details

ISBN-13: 9780071543521
Publisher: McGraw-Hill Companies, The
Publication date: 08/26/2008
Series: Schaum's Outline Series
Pages: 432
Product dimensions: 8.20(w) x 10.80(h) x 0.64(d)

About the Author

Seymour Lipschutz, Ph.D. (Philadelphia, PA), is presently on the Mathematics faculty at Temple University. He has written more than 15 Schaum's Outlines.

Marc Lipson, Ph.D. (Philadelphia, PA), is on the mathematical faculty of the University of Georgia. He is co-author of Schaum's Outline of Discrete Mathematics.

Table of Contents

Schaum's Outline of Linear Algebra, 4ed

1. Vectors in R and C, Spatial Vectors

2. Algebra of Matrices

3. Systems of Linear Equations

4. Vector Spaces

5. Linear Mappings

6. Linear Mappings and Matrices

7. Inner Product Spaces, Orthogonality

8. Determinants

9. Diagonalization: Eigenvalues and Eigenvectors

10. Canonical Forms

11. Linear Functionals and the Dual Space

12. Bilinear, Quadratic, and Hermitian Forms

13. Linear Operators on Inner Product Spaces

14. Multilinear Products

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