Elementary Linear Algebra with Supplemental Applications 10/e (絕)
- 20本以上，享 8.5折
售價
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- 一般書籍
- ISBN：9780470561577
- 作者：Howard Anton, Chris Rorres
- 版次：10
- 年份：2011
- 出版商：John Wiley
書籍介紹
本書特色
目錄
Description
Pedagogy is key in this 10th edition of Elementary Linear Algebra with Supplemental Applications. Suitable for a first course for undergraduate students, this text presents the fundamentals of linear algebra with a precise and comprehensible approach.
Pedagogy is key in this 10th edition of Elementary Linear Algebra with Supplemental Applications. Suitable for a first course for undergraduate students, this text presents the fundamentals of linear algebra with a precise and comprehensible approach.
Features
New elements presented in this edition:
- Calculus exercises are included throughout the text for students who have studied Calculus prior to taking this course.
- Exercises that allow for use of MATLAB, Maple, or Mathematica are included for students who prefer to use these programs.
- All problems in Chapter 10 include relevant applications of linear algebra.
New elements presented in this edition:
- More applications are included throughout the text.
- A Concept Review is included at the end of each section for exam preparation.
- Skills and True/False Exercises are listed in each chapter so students can assess their progress.
- There is now more compact coverage of Euclidean vector spaces.
- To highlight digital computing, Chapter 9 now focuses on numerical approaches.
Table of Contents
Chapter 1. Systems of Linear Equations and Matrices
Chapter 2. Determinants
Chapter 3. Euclidean Vector Spaces
Chapter 4. General Vector Spaces
Chapter 5. Eigenvalues and Eigenvectors
Chapter 6. Inner Product Spaces
Chapter 7. Diagonalization and Quadratic Forms
Chapter 8. Linear Transformations
Chapter 9. Numerical Methods
Chapter 10. Applications of Linear Algebra
Chapter 1. Systems of Linear Equations and Matrices
Chapter 2. Determinants
Chapter 3. Euclidean Vector Spaces
Chapter 4. General Vector Spaces
Chapter 5. Eigenvalues and Eigenvectors
Chapter 6. Inner Product Spaces
Chapter 7. Diagonalization and Quadratic Forms
Chapter 8. Linear Transformations
Chapter 9. Numerical Methods
Chapter 10. Applications of Linear Algebra
