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Linear Algebra with Applications by Leon, Steven J.
by Leon, Steven J. | PB | VeryGood
US $6.11
Approximately£4.50
Condition:
“Missing dust jacket; May have limited writing in cover pages. Pages are unmarked. ~ ”... Read moreAbout condition
Very Good
A book that has been read and does not look new, but is in excellent condition. No obvious damage to the book cover, with the dust jacket (if applicable) included for hard covers. No missing or damaged pages, no creases or tears, no underlining or highlighting of text, and no writing in the margins. Some identifying marks on the inside cover, but this is minimal. Very little wear and tear. See the seller’s listing for full details and description of any imperfections.
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eBay item number:197121365716
Item specifics
- Condition
- Very Good
- Seller notes
- Binding
- Paperback
- Book Title
- Linear Algebra with Applications
- Weight
- 2 lbs
- Product Group
- Book
- IsTextBook
- Yes
- ISBN
- 9780130337818
About this product
Product Identifiers
Publisher
Prentice Hall PTR
ISBN-10
0130337811
ISBN-13
9780130337818
eBay Product ID (ePID)
1900177
Product Key Features
Number of Pages
544 Pages
Language
English
Publication Name
Linear Algebra with Applications
Publication Year
2001
Subject
Algebra / Linear, Algebra / General
Type
Textbook
Subject Area
Mathematics
Format
Hardcover
Dimensions
Item Height
1 in
Item Weight
33.7 Oz
Item Length
9.5 in
Item Width
7.1 in
Additional Product Features
Edition Number
6
Intended Audience
College Audience
LCCN
2001-040036
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
512/.5
Table Of Content
(* The Supplemental Chapters 8 and 9 can be downloaded from the web page .) 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. *9. Jordan Canonical Form. Appendix: MATLAB. Bibliography. Answers to Selected Exercises. Index.
Synopsis
Written for undergraduate first courses in Linear Algebra. Assumes the user has had calculus. Renowned for thoroughness and accessibility, this top-selling text by one of the leading figures in linear algebra education offers students a challenging and enjoyable study of linear algebra that is infused with an abundance of applications. Balancing coverage of mathematical theory and applied topics, Professor Leon explains concepts with precision so that students at any level can understand the material. Worked examples are heavily integrated into each chapter. The book stresses the important role geometry and visualization play in understanding the subject. This edition will continue to be packaged with the ancillary ATLAST computer exercise guide, as well as new MATLAB and Maple guides. *NEW-Chapter Tests-At the end of each chapter there is now a true-false exam testing the basic concepts covered in the chapter, asks students to prove or explain their answers. *NEW-Earlier presentation of the Singular Value Decomposition - Now covered in Chapter 6, Section 5 and includes the applications of the singular value decomposition to least square problems, principal component analysis, info, Written for undergraduate first courses in Linear Algebra. Assumes the user has had calculus. Renowned for thoroughness and accessibility, this top-selling text by one of the leading figures in linear algebra education offers students a challenging and enjoyable study of linear algebra that is infused with an abundance of applications. Balancing coverage of mathematical theory and applied topics, Professor Leon explains concepts with precision so that students at any level can understand the material. Worked examples are heavily integrated into each chapter. The book stresses the important role geometry and visualization play in understanding the subject. This edition will continue to be packaged with the ancillary ATLAST computer exercise guide, as well as new MATLAB and Maple guides.
LC Classification Number
QA184.L46 2002
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