- Hardcover: 563 pages
- Publisher: The McGraw-Hill Companies, Inc.; 2nd edition (July 17, 2002)
- Language: English
- ISBN-10: 0072399104
- ISBN-13: 978-0072399103
- Product Dimensions: 7.5 x 1.1 x 9.5 inches
- Shipping Weight: 2.4 pounds (View shipping rates and policies)
- Average Customer Review: 3.6 out of 5 stars See all reviews (19 customer reviews)
- Amazon Best Sellers Rank: #65,276 in Books (See Top 100 in Books)
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Scientific Computing 2nd Edition
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Top Customer Reviews
I consider myself well-versed in numerical methods, even before reading this book. I still learned many things from the book though, which is either a "plus" for Heath or a "minus" for every other numerical analysis book I've looked through. Heath always discusses existence, uniqueness, and conditioning of problems in very well explained math- as an engineer, I found the proofs and derivations easy enough to follow. The discussion of implementation is always in pseudocode, and only hits the main points of the algorithms- this could be better by mentioning some (or more, if applicable) of the problems that come up, such as scaling and error issues.
My complaints with the book are 1) the overall organization, including the fact that all throughout the book Heath says "as seen in section x.Read more ›
"Scientific Computing" has some notable shortfalls. Some sections contain only mathematical proofs using meticulously chosen terms of art and excess of language. Throughout the book, extraneous vocabulary words like "idempotent" are introduced (without an appropriate definition) never to be seen again. Other sections provide barely enough detail to query the internet for a more thorough tutorial. As a result, the text always seems to have too much or too little detail, making it hard to read without reference material close-by.
Despite the shortcomings of the material layout, I believe one thing that draws professors to this book are the author's lecture slides published on his faculty website. While pre-made slides may be convenient to print for notes, it can have a negative impact on learning. If your local professor does little more than read from the author's notes (which are verbatim from the book) the learning experience can feel as flat as null space!Read more ›
Most Recent Customer Reviews
I read this book as a student in Dr. Heath's course at UIUC, then had to study it more thoroughly for qualifying exams, and I highly recommend it for anyone interested in the... Read morePublished 23 months ago by Bob
Not just a great introduction to the topic but also a great resource for review questions, exercises and computer problems/projects.Published on August 4, 2014 by Russ Park
good review of scientific computing, the best of this book are the different types of questions at the end of each chapter.Published on September 3, 2013 by Luis Navarro
I taught out of this book four or five times for a course named "Scientific Computation." It did a good job giving an overview of the material, and giving comprehensible... Read morePublished on October 18, 2012 by James S. Hefferon
As some other reviews have pointed out, this book is not the best at giving examples. It gives examples of the concepts, but they are not well explained and skip a lot of steps. Read morePublished on October 13, 2012 by Hillary Dennison
On the up side, the textbook was sent promptly and received within one week. However, although the book has no visible wear on the outside cover, the inside pages are filled with... Read morePublished on March 31, 2012 by Davis
As a student I have found this book extremely difficult to learn from. I am a junior in mechanical engineering and have already taken classes concerning differential equations,... Read morePublished on March 3, 2011 by Michael S
This is the best book about scientific computing. It is very easy to understand. The examples are very explainable and have everything that covers scientific computing. Read morePublished on November 27, 2010 by axelyamel
This text reads well, and does a good job covering the important concepts in scientific computing. The only thing I've noticed is sometimes missing specific examples. Read morePublished on September 13, 2010 by Robin L. Daughery