
Introductory Linear Algebra with Applications, 6/e
Bernard Kolman, Drexel University
Published December, 1996 by Prentice Hall Engineering/Science/Mathematics
Copyright 1997, 696 pp.
Cloth
ISBN 0132663139

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This book provides an introduction to the basic ideas, computational
techniques, and applications of linear algebra at the college sophomore
level. The most applied of our basic books in this market, this text has a superb range of problem sets. Also, this is the most technologyfriendly text on the market.
Emphasizes the computational and geometrical aspects of
linear algebra, while keeping abstraction to a minimum and illustrating
every idea with examples.
Groups exercises into three classes. Exercises contains
routine exercises. Theoretical Exercises includes exercises
that fill in gaps in some of the proofs and can be used to raise the
level of the course and to challenge the more capable and interested
student. The third class consists of MATLAB exercises.
A MATLAB disk is available that introduces more pedagogy,
thereby making it more courseware than software.
The end of every chapter contains a summary of Key Ideas
for Review, a set of Supplementary Exercises, and a Chapter
Test.
NEW— Incorporates recommendations from The Linear
Algebra Curriculum Study Group on developing ways to improve the
teaching of linear algebra, such as a greater emphasis on geometry.
NEW—An introduction to the language of vectors
and linear transformations now comes much earlier in the text.
NEW—New sections have been added on:
 Dot product and Matrix Multiplication.
 Introduction to Linear Transformation. Early introduction
to this material in the new chapter on Vectors in R^2 and R^n.
 Subspaces. Now treated separately from vector spaces.
 Orthogonal Complements.
 Inner Product Spaces (Optional).
 Composite and Invertible Linear Transformations (Optional).
 Electrical Circuits.
 QRFactorization (Optional).
 Appendix A on complex numbers has been expanded and now
consists of two sections.
 Many new exercises at all levels have been added.
 Many of these additional exercises are qualitative, rather
than quantitative, and their solutions require discussion rather than
more computation.
 The section on least squares has been expanded.
 More material on computational techniques has been incorporated.
In particular, the QRfactorization of a matrix is now discussed.
 The Cumulative Review of Part I has been expanded.
I. INTRODUCTORY LINEAR ALGEBRA.
1. Linear Equations and Matrices.
2. Determinants.
3. Vectors in R^2 and R^n.
4. Real Vector Spaces.
5. Eigenvalues and Eigenvectors.
6. Linear Transformations and Matrices.
Cumulative Review of Part I.
II. APPLICATIONS.
7. Linear Programming.
8. Applications.
III. NUMERICAL LINEAR ALGEBRA.
9. Numerical Linear Algebra.
IV. MATLAB FOR LINEAR ALGEBRA.
10. MATLAB for Linear Algebra.
Appendix A: Complex Numbers.
Appendix B: Further Directions.
Answers to OddNumbered Exercises and Chapter Tests.
Index.
