- Hardcover: 688 pages
- Publisher: Pearson (December 17, 2005)
- Language: English
- ISBN-10: 0321268989
- ISBN-13: 978-0321268983
- Product Dimensions: 7.6 x 1.1 x 9.4 inches
- Shipping Weight: 2.8 pounds
- Average Customer Review: 10 customer reviews
- Amazon Best Sellers Rank: #797,752 in Books (See Top 100 in Books)
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About the Author
Timothy Sauer earned the Ph.D. degree in mathematics at the University of California, Berkeley in 1982, and is currently a professor at George Mason University. He has published articles on a wide range of topics in applied mathematics, including dynamical systems, computational mathematics, and mathematical biology.
Top customer reviews
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.
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.