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Linear Algebra Applications 7th Edition Person International Steven Leon Book

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US $15.91
Approximately£11.71
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Condition:
Good
“Overall the book is in good condition.”
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US $5.75 (approx £4.23) USPS Media MailTM.
Located in: Riverside, California, United States
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eBay item number:325207756207
Last updated on 25 Jun, 2025 03:12:01 BSTView all revisionsView all revisions

Item specifics

Condition
Good
A book that has been read, but is in good condition. Minimal damage to the book cover eg. scuff marks, but no holes or tears. If this is a hard cover, the dust jacket may be missing. Binding has minimal wear. The majority of pages are undamaged with some creasing or tearing, and pencil underlining of text, but this is minimal. No highlighting of text, no writing in the margins, and 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
“Overall the book is in good condition.”
ISBN
9780132003063

About this product

Product Identifiers

Publisher
Prentice Hall PTR
ISBN-10
0132003066
ISBN-13
9780132003063
eBay Product ID (ePID)
84609231

Product Key Features

Number of Pages
544 Pages
Language
English
Publication Name
Linear Algebra with Applications
Subject
Algebra / Linear
Features
Revised
Type
Textbook
Author
Steven J. Leon
Subject Area
Mathematics
Format
Trade Paperback

Dimensions

Item Height
0.7 in
Item Weight
27.4 Oz
Item Length
9.2 in
Item Width
7 in

Additional Product Features

Edition Number
7
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
512/.5
Edition Description
Revised edition
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., Giving students an understanding of Linear Algebra, this work is for sophomore, junior or senior-level first courses. It infuses concepts with their applications to offer students examples of how mathematics is used in the real world. It stresses on the important role geometry and visualization play in understanding Linear Algebra.

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