Linear Algebra (Schaum?s Outline Series) by Lipschutz

Price: Rs 1534
ISBN: 9780070380233
Pages: 750
Pub Date: JAN-87
Solved Problem Series

These books help readers review and master what they've learned by showing them how to solve
 thousands of relevant problems. Perfect for preparing for graduate or professional exams, these 
detailed reminders of problem-solving techniques show readers the best strategies for answering
 even the toughest questions, including the types that appear on typical tests.

Master linear algebra with Schaum's--the high-performance solved-problem guide.

It will help you cut study time, hone problem-solving skills, and achieve your personal best
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Students love Schaum's Solved Problem Guides because they produce results. Each year,
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If you don't have a lot of time but want to excel in class, use this book to:

• Brush up before tests
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• Review what you've learned in class by solving thousands of relevant problems that test 
• your skill

Compatible with any classroom text, Schaum's Solved Problem Guides let you practice at your own pace and remind you of all the important problem-solving techniques you need to remember--fast! And Schaum's are so complete, they're perfect for preparing for graduate or professional exams.

Inside you will find:

• 3000 solved problems with complete solutions--the largest selection of solved problems 
• yet published on this subject
• An index to help you quickly locate the types of problems you want to solve
• Problems like those you'll find on your exams
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If you want top grades and thorough understanding of linear algebra, this powerful study tool is the
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Table of Content

Vectors in R and C. Matrix Algebra. Systems of Linear Equations. Square Matrices. 

Determinants. Algebraic Structures. Vector Spaces and Subspaces. Linear Dependence,

 Basis, Dimension. Mappings. Linear Mappings. Spaces of Linear Mappings. Matrices and 

Linear Mappings. Change of Basis, Similarity. Inner Product Spaces, Orthogonality. Polynomials

 Over A Field. Eigenvalues and Eigenvectors. Diagonalization. Canonical Forms. Linear 

Functional and the Dual Space. Bilinear, Quadratic, and Hermitian Forms. Linear Operators

 on Inner Product Spaces. Applications to Geometry and Calculus.