Numerical Analysis: Mathematics of Scientific Computing

by E. Ward Cheney and David R. Kincaid

Book Overview

Taking the time to develop the appropriate theory so readers appreciate the mathematics behind the algorithms, the text has more content but a less formal writing style. The authors' presentation of... This description may be from another edition of this product.

• Format: Hardcover
• Language: English
• ISBN: 0534389058
• ISBN13: 9780534389055
• Release Date: January 2002
• Publisher: Thomson Brooks/Cole
• Length: 788 Pages
• Weight: 0.70 lbs.
• Dimensions: 1.3" x 7.5" x 9.4"

Customer Reviews

Liked the condition of the Book

The book was in good condition as previously claimed...the price is very low...so not much to complain about.

Good book

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.

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. 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.

Book for the U

I bought this book for my college and it was excellent

Great Book

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.