# Schaum's Outline of Theory and Problems of Matrix Operations

Schaum's Outline of Theory and Problems of Matrix Operations By Richard Bronson
Publisher: McGraw-Hill 1989 | 230 Pages | ISBN: 0070079781 | File type: PDF | 13 mb

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
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
Nonnegative Matrices
Patterned Matrices
Power Methods for Locating Real Eigenvalues
The QR Algorithm
Generalized Inverses

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