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Linear Algebra: With Applications by Leon, Steven J.

by Leon, Steven J. | HC | Good
US $6.71
ApproximatelyAU $10.38
Condition:
Good
Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, ... Read moreabout condition
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Last updated on 06 Aug, 2025 02:12:18 AESTView all revisionsView all revisions

Item specifics

Condition
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
Seller notes
“Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, ...
Binding
Hardcover
Weight
2 lbs
Product Group
Book
IsTextBook
Yes
ISBN
9780131857858

About this product

Product Identifiers

Publisher
Prentice Hall PTR
ISBN-10
0131857851
ISBN-13
9780131857858
eBay Product ID (ePID)
44673918

Product Key Features

Number of Pages
544 Pages
Language
English
Publication Name
Linear Algebra with Applications
Publication Year
2005
Subject
Algebra / Linear
Type
Textbook
Author
Steven J. Leon
Subject Area
Mathematics
Format
Hardcover

Dimensions

Item Height
1 in
Item Weight
33.9 Oz
Item Length
9.6 in
Item Width
7.3 in

Additional Product Features

Edition Number
7
Intended Audience
College Audience
LCCN
2005-048693
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
512/.5
Table Of Content
1. Matrices and Systems of Equations. Systems of Linear Equations. Row Echelon Form. Matrix Algebra. Elementary Matrices. Partitioned Matrices. Matlab Exercises. Chapter Test. 2. Determinants. The Determinant of a Matrix. Properties of Determinants. Cramer's Rule. Matlab Exercises. Chapter Test. 3. Vector Spaces. Definition and Examples. Subspaces. Linear Independence. Basis and Dimension. Change of Basis. Row Space and Column Space. Matlab Exercises. Chapter Test. 4. Linear Transformations. Definition and Examples. Matrix Representations of Linear Transformations. Similarity. Matlab Exercises. Chapter Test. 5. Orthogonality. The Scalar Product in Rn . Orthogonal Subspaces. Least Squares Problems. Inner Product Spaces. Orthonormal Sets. The Gram-Schmidt Orthogonalization Process. Orthogonal Polynomials. Matlab Exercises. Chapter Test. 6. Eigenvalues. Eigenvalues and Eigenvectors. Systems of Linear Differential Equations. Diagonalization. Hermitian Matrices. The Singular Value Decomposition. Quadratic Forms. Positive Definite Matrices. Nonnegative Matrices. Matlab Exercises. Chapter Test. 7. Numerical Linear Algebra. Floating-Point Numbers. Gaussian Elimination. Pivoting Strategies. Matrix Norms and Condition Numbers. Orthogonal Transformations. The Eigenvalue Problem. Least Squares Problems. Matlab Exercises. Chapter Test. 8. Iterative Methods. On the website, as pdfs. 9. Jordan Canonical Form. On the website, as pdfs. Appendix: MATLAB. Bibliography. Answers to Selected Exercises. Index.
Synopsis
For sophomore-level or junior/senior-level first courses in Linear Algebra; assumes a Calculus prerequisite. This thorough and accessible text - from one of the leading figures in the use of technology in linear algebra - gives students a challenging and broad understanding of the subject. The author infuses key concepts with their modern practical applications to offer students examples of how mathematics is used in the real world. Each chapter contains integrated worked examples and chapter tests. The book stresses the important role geometry and visualization play in understanding linear algebra. This edition will continue to be packaged with the ancillary ATLAST computer exercise guide, as well as new MATLAB and Maple guides, which are also free in the package.
LC Classification Number
QA184.2.L46 2006

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