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Linear Algebra, Third Edition
 
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Linear Algebra, Third Edition [Paperback]

John B. Fraleigh (Author), Raymond A. Beauregard (Author), Victor J. Katz (Contributor)
2.9 out of 5 stars  See all reviews (18 customer reviews)

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Book Description

January 10, 1995 0201526751 978-0201526752 3rd

Fraleigh and Beauregard's text is known for its clear presentation and writing style, mathematical appropriateness, and overall usability. Its inclusion of calculus-related examples, true/false problems, section summaries, integrated applications, and coverage of Cn make it a superb text for the sophomore or junior-level linear algebra course. This Third Edition retains the features that have made it successful over the years, while addressing recent developments of how linear algebra is taught and learned. Key concepts are presented early on, with an emphasis on geometry.

 

KEY TOPICS: Vectors, Matrices, and Linear Systems; Dimension, Rank, and Linear Transformations; Vector Spaces; Determinants; Eigenvalues and Eigenvectors; Orthogonality; Change of Basis; Eigenvalues: Further Applications and Computations; Complex Scalars; Solving Large Linear Systems

 

MARKET: For all readers interested in linear algebra.


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Product Details

  • Paperback: 595 pages
  • Publisher: Addison-Wesley Publishing Company; 3rd edition (January 10, 1995)
  • Language: English
  • ISBN-10: 0201526751
  • ISBN-13: 978-0201526752
  • Product Dimensions: 9 x 7.5 x 1.3 inches
  • Shipping Weight: 2.4 pounds (View shipping rates and policies)
  • Average Customer Review: 2.9 out of 5 stars  See all reviews (18 customer reviews)
  • Amazon Best Sellers Rank: #51,436 in Books (See Top 100 in Books)

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Customer Reviews

18 Reviews
5 star:
 (6)
4 star:
 (3)
3 star:
 (1)
2 star:    (0)
1 star:
 (8)
 
 
 
 
 
Average Customer Review
2.9 out of 5 stars (18 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

5 of 5 people found the following review helpful:
5.0 out of 5 stars One of the greatest introductory books in Linear Algebra, February 2, 2009
This review is from: Linear Algebra, Third Edition (Paperback)
This book is very well written along with many great examples. This book covers basically everything you need to know in an introductory Linear Algebra class about Vectors, Vector spaces, Matrices, Determinants, Linear transformations, Eigenvalues and Eigenvectors, orthogonality, Gram Schmitt process, Systems of equations and and so forth. The people who think this book is too hard, should go back and review their high school algebra books again. One of the great features of this book, as an INTRODUCTORY book, is that it teaches you everything in R^n space. Overall: great 5 star book.
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6 of 7 people found the following review helpful:
4.0 out of 5 stars Not the best for beginners, but still good, October 1, 2002
By A Customer
This review is from: Linear Algebra, Third Edition (Paperback)
After giving up on this book when I first learned Linear Algebra,
it has turned out to be a very good reference book on the subject.

If you need to, use Anton's book to learn the subject, but
I keep this one on my shelf.

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3 of 3 people found the following review helpful:
3.0 out of 5 stars A Fair Treatment, February 5, 2009
By 
The book presents linear algebra problems pretty much in outline form---an "ok" treatment for some, but not all, of the subject matter. Nevertheless, there are still many topic areas where the explanations are not thorough enough.
Also,its treatment of theorems is not accompanied by a step-by-step explanaton of a problem that relates to it.
After all, this book is supposed to be an aid for students taking this subject for the first time.

I have found a few editing type errors--in some problems: wrong signs, numbers misplaced. This seems to be an omnipresent problem with many of these type books. WHO IS OUT THERE DOING THE FINAL REVIEWS?

I think this subject matter needs some type of video teaching component, but good luck trying to find one.

I think the book has its advantages, but mainly to those already immersed in the subject matter of matrices and determinants, vectors and space. A didactic tool it is not!
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