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10 of 11 people found the following review helpful:
5.0 out of 5 stars An excellent introductory text
I found this book to be very well written- It emphasizes the central themes of Numerical Analysis, and provides insight along with the analysis. I especially liked the projects and "reality checks" that Sauer provides- For example, in the Differential Equations chapter, he provides Matlab code for animating the solutions to the pendulum, double pendulum, and even goes...
Published on November 14, 2006 by D. Hundley

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0 of 2 people found the following review helpful:
3.0 out of 5 stars not a very detailed book
Bought this book for my math class Numerical Methods. Overall it's a good reference book. However, you might need to do some research on certain topics.
Published 19 months ago by W. Vaynshteyn


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10 of 11 people found the following review helpful:
5.0 out of 5 stars An excellent introductory text, November 14, 2006
By 
D. Hundley (Walla Walla, WA United States) - See all my reviews
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This review is from: Numerical Analysis (Hardcover)
I found this book to be very well written- It emphasizes the central themes of Numerical Analysis, and provides insight along with the analysis. I especially liked the projects and "reality checks" that Sauer provides- For example, in the Differential Equations chapter, he provides Matlab code for animating the solutions to the pendulum, double pendulum, and even goes into the "N-body problem". A small critique: The Matlab code could be written better, and some of it needed to be modified to work properly, but these bugs will probably be worked out in future editions. For educators: This book is designed for a year-long course. That being said, I would still highly recommend it for even a one-semester course, even though you will only use half the text.
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16 of 21 people found the following review helpful:
5.0 out of 5 stars good introduction to numerical analysis, December 20, 2005
This review is from: Numerical Analysis (Hardcover)
Sauer teaches numerical analysis with an emphasis on you using Matlab to learn the concepts. His text is suitable as a first course in this subject, at an undergraduate level.

The topics are, by and large, unchanged from those in texts written in the 1970s or even earlier. Like the solving of systems of linear equations. A crucial topic which you should master, because these arise throughout engineering and the physical sciences. So the text goes into the ideas of LU factorisation and Gaussian row reduction with pivoting. Other topics covered included numerical integration and differentiation, and least squares curve fitting.

The rigour of the proofs is also well chosen. Enough to satisfy most students. But without being too abstruse to put most off.

A strong point of the text is the numerous problems interspersed throughout each chapter. These are usefully divided into two types. The first might be considered traditional problems. Where you solve these by hand, with perhaps only a calculator to plug in a few numbers. The second group consists of using Matlab in a more extended foray into numerical analysis. Here, a mere calculator will not suffice. Doing these problems will improve your facility with Matlab and also hopefully garner a general experience in knowing when to use a maths package.

It should also be said that if you already use another package, like Mathematica, then this book can still be germane. Roughly speaking, Mathematica, Matlab and Maple have equivalent functionality. Certainly, this is true at the introductory level of the text.
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6 of 7 people found the following review helpful:
5.0 out of 5 stars A very clear textbook, January 9, 2008
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This review is from: Numerical Analysis (Hardcover)
This textbook is a shining example of what a textbook should be. It is very organized, connects ideas to show the big picture, breaks down topics into the clear, organized elements, provides examples, and is very clearly worded.

My chosen field of study is unrelated to the class I used this book for, but I love it so much I'm going to keep it. If I ever have any questions along these lines in the future, I'll go to it.
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1 of 2 people found the following review helpful:
5.0 out of 5 stars Numerical Analysis, March 8, 2009
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This review is from: Numerical Analysis (Hardcover)
this is a great text book. it has matlab codes in the back of the book and all of those codes are also on the cd so you don't have to retype them. It also uses a lot of examples
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0 of 2 people found the following review helpful:
3.0 out of 5 stars not a very detailed book, July 2, 2010
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This review is from: Numerical Analysis (Hardcover)
Bought this book for my math class Numerical Methods. Overall it's a good reference book. However, you might need to do some research on certain topics.
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2 of 6 people found the following review helpful:
4.0 out of 5 stars Nice book., January 3, 2007
This review is from: Numerical Analysis (Hardcover)
This textbook is one of the better books in Numerical analysis. I had the author as my professor for that class and it was a breeze.
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Numerical Analysis
Numerical Analysis by Tim Sauer (Hardcover - December 17, 2005)
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