Schaum's Outline of Matrix Operations (Schaum's Outlines) - Softcover

Master matrix operations with Schaum's­­the high-performance study guide. It will help you cut study time, hone problem-solving skills, and achieve your personal best on exams! Students love Schaum's Outlines because they produce results. Each year, hundreds of thousands of students improve their test scores and final grades with these indispensable study guides. Get the edge on your classmates. Use Schaum's!

If you don't have a lot of time but want to excel in class, this book helps you:

• Brush up before tests
• Find answers fast
• Study quickly and more effectively
• Get the big picture without spending hours pouring over lengthy textbooks

Schaum's Outlines give you the information teachers expect you to know in a handy and succinct format­­without overwhelming you with unnecessary details. You get a complete overview of the subject. Plus, you get plenty of practice exercises to test your skill. Compatible with any classroom text, Schaum's lets you study at your own pace and reminds you of all the important facts you need to remember­­fast! And Schaum's are so complete, they're perfect for preparing for graduate or professional exams.

Inside, you will find:

• 363 detailed problems with step-by-step solutions
• Clear, concise explanations of matrix operations
• Help with Eigenvalues and the QR Algorithm
• A solved-problem approach that teaches you with hands-on help
• Exercises for improving your problem-solving skills

If you want top grades and a thorough understanding of matrix operations, this powerful study tool is the best tutor you can have!

Chapters include:

• Basic Operations
• Simultaneous Linear Equations
• Square Matrices
• Matrix Inversion
• Determinants
• Vectors
• Eigenvalues and Eigenvectors
• Functions of Matrices
• Canonical Bases
• Similarity
• Inner Products
• Norms
• Hermitian Matrices
• Positive Definite Matrices
• Unitary Transformations
• Quadratic Forms and Congruence
• Nonnegative Matrices
• Patterned Matrices
• Power Methods for Locating Real Eigenvalues
• The QR Algorithm
• Generalized Inverses
• Answers to Supplementary Problems