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Numerical Analysis: Mathematics of Scientific Computing (Hardcover)

by David R. Kincaid (Author), E. Ward Cheney (Author)
3.0 out of 5 stars See all reviews (7 customer reviews)

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Editorial Reviews

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 Numerical Analysis: Mathematics of Scientific Computing, Second Edition apart form the authors' well-respected and best-selling text: Numerical Mathematics and Computing, Fourth Edition.

About the Author
David Kincaid is Senior Lecturer in the Department of Computer Sciences at the University of Texas at Austin. Also, he is the Interim Director of the Center for Numerical Analysis (CNA) within the Institute for Computational Engineering and Sciences (ICES).

Ward Cheney is Professor of Mathematics at the University of Texas at Austin. His research interests include approximation theory, numerical analysis, and extremum problems.

Product Details

  • Hardcover: 816 pages
  • Publisher: Brooks Cole; 2 edition (February 26, 1996)
  • Language: English
  • ISBN-10: 0534338925
  • ISBN-13: 978-0534338923
  • Product Dimensions: 9.5 x 7.5 x 1.8 inches
  • Shipping Weight: 3 pounds
  • Average Customer Review: 3.0 out of 5 stars See all reviews (7 customer reviews)
  • Amazon.com Sales Rank: #1,299,645 in Books (See Bestsellers in Books)

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Front Cover | Table of Contents | First Pages | Index | Back Cover
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Customer Reviews

7 Reviews
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Average Customer Review
3.0 out of 5 stars (7 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

 
4.0 out of 5 stars Good book, March 2, 2009
This review is from: Numerical Analysis: Mathematics of Scientific Computing (Hardcover)
Bought this as a textbook for my class. The book is pretty well-organized and easy to read. I like it. I was reading some other books of Numerical Analysis, and they are pretty old, maybe that's why they are less organized than this one.
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1.0 out of 5 stars Are You Just Taking a Class?, November 9, 2008
This review is from: Numerical Analysis: Mathematics of Scientific Computing (Hardcover)
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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5.0 out of 5 stars Book for the U, May 29, 2007
This review is from: Numerical Analysis: Mathematics of Scientific Computing (Hardcover)
I bought this book for my college and it was excellent
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Most Recent Customer Reviews

4.0 out of 5 stars A higher level of rigor than found in most numerical methods texts
I teach a course in numerical methods every other year and use Maple as the platform for the computer solution of problems. Read more
Published 20 months ago by Charles Ashbacher

1.0 out of 5 stars Horrible Book.
Honestly, this has turned out to be a horrible book. Particularly in the disconnect that exists between the text and the problem sets. Read more
Published 22 months ago by M. Wood

5.0 out of 5 stars Great Book
I think this book is lucently written and explains various aspects of numerical analysis in great detail. Read more
Published on November 26, 2006 by M

1.0 out of 5 stars Disappointing at best
The book was a major disappointment. I am glad that I did not purchase it for my class, but instead borrowed it. Read more
Published on January 3, 2004 by Mark B. Campanelli

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