Elementary Linear Algebra with Applications (Classic Version), 9th Edition
©2018 |Pearson | Available
Bernard Kolman, Drexel University
David A Hill
©2018 |Pearson | Available
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For introductory sophomore-level courses in Linear Algebra or Matrix Theory.
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This text presents the basic ideas of linear algebra in a manner that offers students a fine balance between abstraction/theory and computational skills. The emphasis is on not just teaching how to read a proof but also on how to write a proof.
This product is part of the following series. Click on a series title to see the full list of products in the series.
Strong pedagogical framework.
Provides students with a strong understanding by gradually introducing topics that connect abstract ideas to concrete foundations.
General level of applications–Presents applications that are suited to a more general audience, rather than for a strongly science-oriented one.
Enables instructors to use this text for a greater variety of class levels.
Comprehensive supplements–Includes a Student Solutions Manual, an Instructor's Solutions Manual, and a Companion Website.
Gives both students and instructors valuable course support.
Matrix multiplication in a separate section.
Gives students more careful coverage of this topic.
Matrix Transformations .
Introduces geometric applications at a very early stage.
Computer Graphics –Gives an application of matrix transformations.
Gives students this application earlier, illustrating the concept more fully.
Extends and generalizes for students the concepts of computer graphics.
Correlation Coefficient –Gives an application of dot product to statistics in a new section.
Search engines–Includes Section 7.9, Dominant Eigenvalue and Principal Component Analysis, and includes several applications of this material.
Discusses for students the popular search engine Google®, and how it uses the dominant eigenvalue of an enormously large matrix to search the web.
Eigenvalue development includes the complex case.
Provides a more unified approach.
Appendix on an introduction to proofs.
Eases students into the abstract aspects of linear algebra.
MATLAB M-files.
Gives students the more modern versions of these files.
Key terms listed at the end of each section.
Chapter review at the end of each chapter–Includes review True/False questions and Chapter Quiz.
Answers to odd-numbered exercises–Available in a section at the back of the text.
Enables instructors to use text exercises as graded homework assignments.
Applications of Eigen value and Eigenvectors (Chapter 8) - new to the edition in this form. It consists of old sections 7.3, 7.5-7.9, 8.1, 8.2
Organizational Changes
Exercises involving real world data have been updated to include more recent data sets
More MATLAB exercises have been added.
MATLAB M-files have been upgraded to more modern versions
Discussion has been added to the Chapter Review material. Many of these are suitable for writing projects or group activities.
More geometric material illustrating the discussions of diagonalization of symmetric matrices and singular value decompositions.
More applications have been added (including application to networks and chemical balance equations)
More material on recurrence relations
More material discussing the four fundamental subspaces of linear algebra
1 - Linear Equations And Matrices
2 - Solving Linear Systems
3 - Determinants
4 - Real Vector Spaces
5 - Inner Product Spaces
6 - Linear Transformations and Matrices
7 - Eigenvalues and Eigenvectors
8 - Applications of Eigenvalues and Eigenvectors (Optional)
9 - MATLAB for Linear Algebra
10 - MATLAB Exercises
A P P E N D I X A Preliminaries
A P P E N D I X B Complex Numbers
A P P E N D I X C Introduction to Proofs
Download Detminants (1.1MB)
Download Inner Product Spaces (14.0MB)
Download Linear Transformations (1.6MB)
Download Real Vector Spaces (1.5MB)
Download Solving Linear Systems (13.6MB)
Companion Website for Elementary Linear Algebra with Applications
Kolman & Hill
©2008
Format | Website | |
ISBN-13: | 9780138130411 | |
Availability |
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Kolman & Hill
©2018  | Pearson  | 720 pp
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