Schaum's Outline of Theory and Problems of Linear Algebra (Schaum's Outline)

Basic definitions, explorations of principles and theorems, and solved problems provide a theoretical framework and computational tool for understanding linear algebra

Master linear algebra with Schaumsthe high-performance study guide. It will help you cut study time, hone problem-solving skills, and achieve your personal best on exams!

Students love Schaums 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 Schaums! 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 poring over lengthy textbooks. Schaums 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, Schaums lets you study at your own pace and reminds you of all the important facts you need to rememberfast! And Schaums are so complete, theyre perfect for preparing for graduate or professional exams. Inside, you will find: 1360 detailed problems with step-by-step solutions; Clear, concise explanations of linear equations, vectors, matrices, and more; Help with linear operators, Eigenvalues, canonical forms, and more; A solved-problem approach that teaches you with hands-on help; Exercises for improving your problem-solving skills. If you want top grades and thorough understanding of linear algebra, this powerful study tool is the best tutor you can have!

Chapters include: Systems of Linear Equations. Vectors in R and C, Spatial Vectors. Matrices. Square Matrices, Elementary Matrices. Vector Spaces. Inner Product Spaces, Orthogonality. Determinants. Eigenvalues and Eigenvectors, Diagonalization. Linear Mappings, Matrices and Linear Mappings. Canonical Forms. Linear Operators on Inner Product Spaces. Polynomials Over a Field.