Synopses & Reviews
- QUICK and DEPENDABLE review of a typical LINEAR ALGEBRA course
- Brings ABSTRACT concepts down to EARTH
- Hundreds of SOLVED PROBLEMS show you how to get answers, step by step
- Lots of QUIZZES, test questions, and a "final EXAM"
GET A LINE ON LINEAR ALGEBRA!
Now anyone with an interest in linear algebra can master it -- without formal training, unlimited time, or a genius IQ. In Linear Algebra Demystified, mathematician, physicist, and student-savvy author David McMahon provides an effective, illuminating, and entertaining way to learn the essentials of linear algebra.
With Linear Algebra Demystified, you master the subject one step at a time -- at your own speed. This unique self-teaching guide offers problems at the end of each chapter and section to pinpoint weaknesses, and a 100-question final exam to reinforce the entire book.
This fast and entertaining self-teaching course makes it much easier to:
- Conquer linear algebra with step-by-step explanations
- Get problem-solving help from hundreds of worked examples
- Gain practical mathematical tools for use in engineering, computer science, physics, and other fields
- Master eigenvalue and eigenvector problems with examples and clarifying discussions
- Find plain-language explanations of complex topics such as vector spaces, linear transformations, inverses, inner product spaces, and matrix decompositions
- Review for advanced linear algebra courses with this quick and reliable guide
- Take a "final exam" and grade it yourself!
Simple enough for beginners but challenging enough for those who already know something about linear algebra, Linear Algebra Demystified is the best self-teaching tool or brush-up you can find!
Synopsis
- QUICK and DEPENDABLE review of a typical LINEAR ALGEBRA course
- Brings ABSTRACT concepts down to EARTH
- Hundreds of SOLVED PROBLEMS show you how to get answers, step by step
- Lots of QUIZZES, test questions, and a "final EXAM"
GET A LINE ON LINEAR ALGEBRA!
Now anyone with an interest in linear algebra can master it -- without formal training, unlimited time, or a genius IQ. In Linear Algebra Demystified, mathematician, physicist, and student-savvy author David McMahon provides an effective, illuminating, and entertaining way to learn the essentials of linear algebra.
With Linear Algebra Demystified, you master the subject one step at a time -- at your own speed. This unique self-teaching guide offers problems at the end of each chapter and section to pinpoint weaknesses, and a 100-question final exam to reinforce the entire book.
This fast and entertaining self-teaching course makes it much easier to:
- Conquer linear algebra with step-by-step explanations
- Get problem-solving help from hundreds of worked examples
- Gain practical mathematical tools for use in engineering, computer science, physics, and other fields
- Master eigenvalue and eigenvector problems with examples and clarifying discussions
- Find plain-language explanations of complex topics such as vector spaces, linear transformations, inverses, inner product spaces, and matrix decompositions
- Review for advanced linear algebra courses with this quick and reliable guide
- Take a "final exam" and grade it yourself!
Simple enough for beginners but challenging enough for those who already know something about linear algebra, Linear Algebra Demystified is the best self-teaching tool or brush-up you can find!
Synopsis
Taught at junior level math courses at every university, Linear Algebra is essential for students in almost every technical and analytic discipline.
About the Author
David McMahon is a Microsoft Certified Visual Basic developer. He writes object-oriented software and hardware drivers for Windows NT and 95/98 using Visual Basic and Visual C++. He is also a Microsoft Certification instructor for Visual Basic and Microsoft Access.
Table of Contents
PREFACE
Chapter 1: Systems of Linear Equations
Chapter 2: Matrix Algebra
Chapter 3: Determinants
Chapter 4: Vectors
Chapter 5: Vector Spaces
Chapter 6: Inner Product Spaces
Chapter 7: Linear Transformations
Chapter 8: The Eigenvalue Problem
Chapter 9: Special Matrices
Chapter 10: Matrix Decomposition
FINAL EXAM
HINTS AND SOLUTIONS
REFERENCES
INDEX