Numerical Analysis: Mathematics of Scientific Computing | 
 enlarge | Authors: David R. Kincaid, E. Ward Cheney
Publisher: Brooks Cole
Category: Book
List Price: $191.95
Buy New: $57.51
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Rating:  6 reviews
Sales Rank: 160596
Media: Hardcover
Edition: 3
Pages: 816
Number Of Items: 1
Shipping Weight (lbs): 3.2
Dimensions (in): 9.4 x 7.6 x 1.3
ISBN: 0534389058
Dewey Decimal Number: 519.4
EAN: 9780534389055
Publication Date: October 25, 2001
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Condition: Brand New, Hardcover Original US 3rd edition Free tracking Ref.21
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Product Description
This highly successful and scholarly book introduces students with diverse backgrounds to the various types of mathematical analysis that are commonly needed in scientific computing. The subject of numerical analysis is treated from a mathematical point of view, offering a complete analysis of methods for scientific computing with careful proofs and scientific background. An in-depth treatment of the topics of numerical analysis, a more scholarly approach, and a different menu of topics sets this book apart from the authors' well-respected and best-selling text: NUMERICAL MATHEMATICS AND COMPUTING, FOURTH EDITION.
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| Customer Reviews: Read 1 more reviews...
 Great Book November 26, 2006
M
I think this book is lucently written and explains various aspects of numerical analysis in great detail. The proofs are stated in an understandable way and algorithms are presented clearly and in such a way that it is easy to implement them in the programming language of one's choice.
Book for the U May 29, 2007
E. Arteaga (Kentucky)
I bought this book for my college and it was excellent
 A higher level of rigor than found in most numerical methods texts November 9, 2007
Charles Ashbacher (Marion, Iowa United States(cashbacher@yahoo.com))
0 out of 1 found this review helpful
I teach a course in numerical methods every other year and use Maple as the platform for the computer solution of problems. At this time, I am using "Numerical Methods: Third edition" by Faires and Burden and am quite happy with it. However, I am always trolling for better textbooks so that it is premise with which I examined this book.
The level of rigor is on the higher end of the scale, there are many more formal theorems and proofs than is found in most of the other numerical methods textbooks. Rather than using code in Maple or Mathematica, the algorithms are expressed in a lower level pseudocode. It has the appearance of a programming language; however some of the operations are expressed in mathematical form for brevity. This use of the mathematical syntax generally makes them easier to understand than if they were expanded out using a programming language. There are many exercises at the end of the sections, including a group meant for computer solution.
I will not be adopting this book for my class, the level of rigor is a bit higher than my students can easily digest and quite frankly, I am hooked on using Maple as the computer platform. Nevertheless, it serves as a valuable secondary reference, where when necessary, I can look through a detailed proof of a topic that I am about to present.
 Horrible Book. September 9, 2007
M. Wood (Colorado)
1 out of 1 found this review helpful
Honestly, this has turned out to be a horrible book. Particularly in the disconnect that exists between the text and the problem sets. Very few of the examples are useful to read through because they are trivially simple, while the problem sets seem to take particular delight in finding the hardest tricks to be solve-able.
I would highly suggest that anyone that purchases this book, already know what they are trying to learn, or have an excellent teacher that can fill in the gaps.
Are You Just Taking a Class? November 9, 2008
Kelly Snyder
If you are a graduate student then this book might appeal to you. But if you are actually trying to use the book for some purposeful end, it will probably disappoint.
The first problem is that it uses lots and lots of mathematical symbols, as well as plenty of abstruse matrix transformations. If you are studying for your PhD then you probably will have no trouble.
The next problem is that the book is pretty much page after page of solid proofs. The proofs are essentially meaningless; they are presented without context and are rarely used for anything except building other proofs. In the places where numerical examples are presented, they are so brief and cryptic as to be unintelligible.
Believe it or not, the same authors wrote another book, Numerical Mathematics and Computing - it covers almost exactly the same material, but in a more down-to-earth way. If you are determined to read Numerical Analysis, then I would highly recommend that you read the other book first. Instead of having copious proofs, the other book spends its time reviewing the mathematical methods required to apply the material, as well as reviewing the notation.
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