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.
It will help you cut study time, hone problem-solving skills, and achieve your personal best
on exams!
Students love Schaum's Solved Problem Guides because they produce results. Each year,
thousands of students improve their test scores and final grades with these indispensable 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, use this book to:
- Brush up before tests
- Study quickly and more effectively
- Learn the best strategies for solving tough problems in step-by-step detail
- 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
- Techniques for choosing the correct approach to problems
- Guidance toward the quickest, most efficient solutions
If you want top grades and thorough understanding of linear algebra, this powerful study tool is the
best tutor you can have!
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.
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