Schaum's Outline of Linear Algebra, 5th Edition

by Seymour Lipschutz, Marc Lipson

Overview

Tough Test Questions? Missed Lectures? Not Enough Time?

Fortunately, there's Schaum's. This all-in-one-package includes 612 fully solved problems, examples, and practice exercises to sharpen your problem-solving skills. Plus, you will have access to 25 detailed videos featuring Math instructors who explain how to solve the most commonly tested problems—it's just like having your own virtual tutor! You'll find everything you need to build confidence, skills, and knowledge for the highest score possible.

More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams. Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills.

This Schaum's Outline gives you

• 612 fully solved problems
• Concise explanations of all course concepts
• Support for all major textbooks for linear algebra courses

Fully compatible with your classroom text, Schaum's highlights all the important facts you need to know. Use Schaum's to shorten your study time—and get your best test scores!

Product Details

ISBN-13:	9780071794565
Publisher:	McGraw-Hill Professional Publishing
Publication date:	12/11/2012
Edition description:	List
Pages:	432
Product dimensions:	8.10(w) x 10.80(h) x 0.90(d)

About the Author

Seymour Lipschutz is on the faculty of Temple University and formally taught at the Polytechnic Institute of Brooklyn. He is one of Schaum's major authors.

Marc Lipson is on the faculty of University of Georgia. He is also the coauthor of Schaum's Outline of Discrete Mathematics and Schaum's Outline of Probability with Seymour Lipschutz.

Table of Contents

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