Introductory Linear Algebra: An Application-Oriented First Course, 8/e (Paperback)
暫譯: 線性代數入門：應用導向的第一課程，第8版（平裝本）

Bernard Kolman , David R. Hill

Introductory Linear Algebra: An Application-Oriented First Course, 8/e (Paperback)

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商品描述

For freshman/sophomore-level courses in Linear Algebra. 
This book provides an applied introduction to the basic ideas, computational techniques, and applications of linear algebra. The most applied of our basic books in this market, this text has a superb range of problem sets. Calculus is not a prerequisite, although examples and exercises using very basic calculus are included (labeled “Calculus Required.”) The most technology-friendly text on the market, Introductory Linear Algebra is also the most flexible. By omitting certain sections, instructors can cover the essentials of linear algebra (including eigenvalues and eigenvectors) and introduce applications of linear algebra in a one-semester course.

商品描述(中文翻譯)

本書適用於大一/大二的線性代數課程。這本書提供了線性代數基本概念、計算技術和應用的實用介紹。作為市場上最具應用性的基礎書籍之一，本書擁有極佳的題目範圍。雖然微積分不是先修課程，但書中包含了一些使用非常基本微積分的範例和練習（標示為「需要微積分」）。作為市場上最友好的技術文本，《線性代數入門》也是最具靈活性的。透過省略某些章節，教師可以在一學期的課程中涵蓋線性代數的基本要素（包括特徵值和特徵向量），並介紹線性代數的應用。

目錄大綱

Ch.1 Linear Equations and Matrices
Ch.2 Applications of Linear Equations and Matrices (Optional)
Ch.3 Determinants
Ch.4 Vectors in Rn 
Ch.5 Applications of Vectors in R2 and R3 (Optional)
Ch.6 Real Vector Spaces
Ch.7 Applications of Real Vector Spaces (Optional)
Ch.8 Eigenvalues, Eigenvectors, and Diagonalization
Ch.9 Applications of Eigenvalues and Eigenvectors (Optional)
Ch.10 Linear Transformations and Matrices
Ch.11 Linear Programming (Optional)
Ch.12 MATLAB for Linear Algebra
APPENDIX A Complex Numbers
APPENDIX B Further Directions
Answers to Odd-Numbered Exercises and Chapter Tests
Index

目錄大綱(中文翻譯)

Ch.1 Linear Equations and Matrices

Ch.2 Applications of Linear Equations and Matrices (Optional)

Ch.3 Determinants

Ch.4 Vectors in Rn 

Ch.5 Applications of Vectors in R2 and R3 (Optional)

Ch.6 Real Vector Spaces

Ch.7 Applications of Real Vector Spaces (Optional)

Ch.8 Eigenvalues, Eigenvectors, and Diagonalization

Ch.9 Applications of Eigenvalues and Eigenvectors (Optional)

Ch.10 Linear Transformations and Matrices

Ch.11 Linear Programming (Optional)

Ch.12 MATLAB for Linear Algebra

APPENDIX A Complex Numbers

APPENDIX B Further Directions

Answers to Odd-Numbered Exercises and Chapter Tests

Index

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