【簡介】 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. 【目錄】 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