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Linear Algebra With Applications,9780136009290
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Linear Algebra With Applications



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What version or edition is this?

This is the 8th edition with a publication date of 8/26/2009.

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  • Linear Algebra with Applications
    Linear Algebra with Applications
  • Student Study Guide for Linear Algebra with Applications
    Student Study Guide for Linear Algebra with Applications
  • Linear Algebra With Applications
    Linear Algebra With Applications
  • Linear Algebra with Applications
    Linear Algebra with Applications

Customer Reviews

An easy understanding of Linear Algebra  August 8, 2011

A very good undergraduate textbook dealing with Linear Algebra. The text is very clear on the subject. But, the real strength of this textbook is the examples is using the MatLab computer program. I have been able to duplicate the problems using Octave computer program.

Linear Algebra With Applications: 4 out of 5 stars based on 1 user reviews.


This book is for sophomore-level or junior/senior-level first courses in linear algebra and assumes calculus as a 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 roles 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 also come with the package.

Matrices and Systems of Equations, Determinants, Vector Spaces, Linear Transformations, Orthogonality, Eigenvalues, Numerical Linear Algebra For all readers interested in linear algebra.

New To This Edition

1. New Section on Matrix Arithmetic

One of the longer sections in the previous edition was the section on matrix algebra in Chapter 1. The material in that section has been expanded further for the current edition. Rather than include an overly long revised section, we have divided the material into sections titled Matrix Arithmetic and Matrix Algebra.

2. New Exercises

After seven editions it was quite a challenge to come up with additional original exercises. This eighth edition has more than 130 new exercises. The new exercises are not evenly distributed throughout the book. Some sections have many new exercises and others have few or none.

3. New Subsections and Applications

A new subsection on cross products has been included in Section 3 of Chapter 2. A new application to Newtonian Mechanics has also been added to that section. In Section 4 of Chapter 6 (Hermitian Matrices), a new subsection on the Real Schur Decomposition has been added.

4. New and Improved Notation

The standard notation for the jth column vector of a matrix A is aj , however, there seems to be no universally accepted notation for row vectors. In the MATLAB package, the ith row of A is denoted by A(i, :). In previous editions of this book we used a similar notation a(i, :), however, this notation seems somewhat artificial. For this edition we use the same notations as for a column vector except we put a horizontal arrow above the letter to indicate that the vector is a row vector (an horizontal array) rather than a column vector (a vertical array).

We have also introduced improved notation for the standard Euclidean vector spaces and their complex counterparts.

5. Other Revisions

Various other revisions have been made throughout the text. Many of these revisions were suggested by reviewers.

6. Special Web Site and Supplemental Web Materials

Pearson has developed a special Web site to accompany the 8th edition. This site includes a host of materials for both students and instructors.

Author Biography

Steven J. Leon is a Chancellor Professor of Mathematics at the University of Massachusetts Dartmouth. He has been a Visiting Professor at Stanford University, ETH Zurich (the Swiss Federal Institute of Technology), KTH (the Royal Institute of Technology in Stockholm), UC San Diego, and Brown University. His areas of specialty are linear algebra and numerical analysis.

Leon is currently serving as Chair of the Education Committee of the International Linear Algebra Society and as Contributing Editor to Image, the Bulletin of the International Linear Algebra Society. He had previously served as Editor-in-Chief of Image from 1989 to 1997. In the 1990’s he also served as Director of the NSF sponsored ATLAST Project (Augmenting the Teaching of Linear Algebra using Software Tools). The project conducted 18 regional faculty workshops during the period from 1992–1997.

Table of Contents

What's New in the Eighth Edition?
Computer Exercises
Overview of Text
Suggested Course Outlines
Supplementary Materials
Matrices and Systems of Equations
Systems of Linear Equations
Row Echelon Form
Matrix Arithmetic
Matrix Algebra
Elementary Matrices
Partitioned Matrices
Matlab Exercises
Chapter Test A
Chapter Test B
The Determinant of a Matrix
Properties of Determinants
Additional Topics and Applications
Matlab Exercises
Chapter Test A
Chapter Test B
Vector Spaces
Definition and Examples
Linear Independence
Basis and Dimension
Change of Basis
Row Space and Column Space
Matlab Exercises
Chapter Test A
Chapter Test B
Linear Transformations
Definition and Examples
Matrix Representations of Linear Transformations
Matlab Exercises
Chapter Test A
Chapter Test B
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 A
Chapter Test B
Eigenvalues and Eigenvectors
Systems of Linear Differential Equations
Hermitian Matrices
The Singular Value Decomposition
Quadratic Forms
Positive Definite Matrices
Nonnegative Matrices
Matlab Exercises
Chapter Test A
Chapter Test B
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 A
Chapter Test B
Appendix: MATLAB
The MATLAB Desktop Display
Basic Data Elements
Generating Matrices
Matrix Arithmetic
MATLAB Functions
Programming Features
Relational and Logical Operators
Columnwise Array Operators
Symbolic Toolbox
Help Facility
Linear Algebra and Matrix Theory
Applied and Numerical Linear Algebra
Books of Related Interest
Answers to Selected Exercises
Table of Contents provided by Publisher. All Rights Reserved.

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