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Elementary Linear Algebra [Hardcover]

Howard Anton (Author)
4.6 out of 5 stars  See all reviews (9 customer reviews)


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Elementary Linear Algebra Elementary Linear Algebra 2.6 out of 5 stars (5)
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Book Description

January 6, 2000 0471170550 978-0471170556 8
A first course in linear algebra for mathematics, engineering and computer science students.

Praised over many editions for its expository style and clarity of presentation, the revision of this best-selling text combines linear algebra theory with applications, and addresses a new generation of students' changing needs.
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This text can be used in a first or second year 1- or 2- semester course. Calculus is not a prerequisite, but there are exercises, examples, and applications for students with calculus backgrounds; they are clearly marked and can be omitted with no loss of continuity.


Editorial Reviews

About the Author

Howard Anton, Drexel University

Product Details

  • Hardcover: 608 pages
  • Publisher: Wiley; 8 edition (January 6, 2000)
  • Language: English
  • ISBN-10: 0471170550
  • ISBN-13: 978-0471170556
  • Product Dimensions: 10.1 x 8.1 x 1 inches
  • Shipping Weight: 2.8 pounds
  • Average Customer Review: 4.6 out of 5 stars  See all reviews (9 customer reviews)
  • Amazon Best Sellers Rank: #326,167 in Books (See Top 100 in Books)

 

Customer Reviews

9 Reviews
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Average Customer Review
4.6 out of 5 stars (9 customer reviews)
 
 
 
 
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19 of 20 people found the following review helpful:
5.0 out of 5 stars Great textbook, April 19, 2003
By 
David Elder "elddm" (Boston, Ma United States) - See all my reviews
(REAL NAME)   
This review is from: Elementary Linear Algebra (Hardcover)
I used Anton in my linear algebra class a few years back and I have referred to it often since. Anton's approach is to introduce the notation and basic tools, i.e. vector and matrix arithmetic, within the intuitive geometric settings of the Euclidean plane and space. Once the basic concepts of Euclidean vector spaces have been mastered, Anton moves into abstract vector spaces, linear transformations, and eigenvectors. One chapter is spent on complex matrices, and another chapter deals with numerical issues and least-squares applications. The only topic which is noticably missing is the singular value decomposition, but other than that, Anton is a remarkably complete text. The definitions and theorems are clearly presented, along with the motivating intuitions. The exercises at the end of the chapter sections are a nice balance between computational and theoretical problems. Overall I highly recommend Anton as a first linear algebra text.
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11 of 11 people found the following review helpful:
5.0 out of 5 stars 8th edition is the best yet, May 22, 2002
By 
This review is from: Elementary Linear Algebra (Hardcover)
I've been teaching out of Anton's Linear Algebra books for 17 years, and I'm especially impressed with the 8th edition. Difficult concepts are visited again and again in increasing levels of abstraction, easing students into them. I'm amazed at the organization of topics. I'm able to deliver punch lines arrive several times a day: "Now we see why we learned this yesterday. Here's something we saw a while back, remember this?"

As always, the writing style is clear and the exercises are well-chosen. I can't imagine teaching linear algebra with any other author.

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13 of 14 people found the following review helpful:
5.0 out of 5 stars An excellent book for beginners in linear algebra, September 14, 2000
By 
Todd Ebert (Long Beach California) - See all my reviews
This review is from: Elementary Linear Algebra (Hardcover)
This is where it all began for me: my first course in abstract algebra. I thoroughly enjoyed reading this book, and being challenged by its exercises. Learning that a vector space could be a set of anything satisfying certain algebraic properties opened my mind to modern mathematics. 15 years later, I still sometimes reference this book.
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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
regular exercise sets, read your documentation, linear algebra capabilities, signed elementary products, continuous mth derivatives, use your technology utility, basis for eigenspace corresponding, inner product axioms, following theorem lists, orthonormal column vectors, bases for the eigenspaces, equating corresponding components, cofactor expansion, standard matrices, vector space axioms, studied calculus, complex inner product spaces, linear algebra software, proportional rows, independent column vectors, matrix that results, different eigenspaces, general vector spaces, standard matrix, least squares straight line fit
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Additional Topics, Euclidean Vector Spaces, Equivalent Statements, Technology Exercises, Gauss Jordan, Theorem of Pythagoras, Use the Gram-Schmidt, Apply the Gram-Schmidt, Cayley-Hamilton Theorem, Further Results, Geometry of Linear Operators, Minus Theorem, Supplementary Exercises, Use Cramer, Repeat Exercise, Use Exercise, Find the Euclidean, Use the Cauchy-Schwarz, Verify Theorem, Alternative Solution, Coordinates Relative, Verify Formula, Verifying Formula
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