ENGLISH

Linear Algebra

Book information

Publisher
Cliffs Notes
Year
1996
ISBN
0-8220-5331-4, 9780822053316
Language
english
Format
DJVU
Filesize
2 MB (1899898 bytes)
Series
Cliffs Quick Review
Edition
1
Pages
328\327
Library
kolxoz
Time added
2018-06-05 18:02:38

Description

CliffsQuickReview course guides cover the essentials of your toughest classes. Get a firm grip on core concepts and key material, and approach your exams with newfound confidence. CliffsQuickReview Linear Algebra demystifies the topic with straightforward explanations of the fundamentals. This comprehensive guide begins with a close look at vector algebra (including position vectors, the cross product, and the triangle inequality) and matrix algebra (including square matrices, matrix addition, and identity matrices). Once you have those subjects nailed down, you'll be ready to take on topics such asLinear systems, including Gaussian elimination and elementary row operationsReal Euclidean vector spaces, including the nullspace of a matrix, projection into a subspace, and the Rank Plus Nullity TheoremThe determinant, including definitions, methods, and Cramer’s RuleLinear transformations, including basis vectors, standard matrix, kernal and range, and compositionEigenvalues and Eigenvectors, including definitions and illustrations, Eigenspaces, and diagonalization CliffsQuickReview Linear Algebra acts as a supplement to your textbook and to classroom lectures. Use this reference in any way that fits your personal style for study and review — the information is clearly arranged and offered in manageable units. Here are just a few of the features you’ll find in this guide:A review of core conceptsClear diagrams and loads of formulasEasy to understand definitions and explanationsPlenty of examples and detailed solutions With titles available for all the most popular high school and college courses, CliffsQuickReview guides are a comprehensive resource that can help you get the best possible grades Content: Vector Algebra. Matrix Algebra. Linear Systems. Real Euclidean Vector Spaces. The Determinant. Linear Transformations. Eigenvalues and Eigenvectors.

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