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Schaum's Outline of Numerical Analysis

Schaum's Outline of Numerical Analysis

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Author: Francis Scheid
Publisher: McGraw-Hill
Category: Book

List Price: $18.95
Buy Used: $1.50
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New (28) Used (39) from $1.50

Rating: 3.0 out of 5 stars 5 reviews

Media: Paperback
Edition: 2
Pages: 471
Number Of Items: 1
Shipping Weight (lbs): 1.9
Dimensions (in): 10.8 x 8 x 0.8

ISBN: 0070552215
Dewey Decimal Number: 519.4
EAN: 9780070552210

Publication Date: January 1, 1989
Availability: Usually ships in 1-2 business days
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Editorial Reviews:

Product Description
If you want top grades and thorough understanding of numerical analysis, this powerful study tool is the best tutor you can have! It takes you step-by-step through the subject and gives you accompanying related problems with fully worked solutions. You also get additional problems to solve on your own, working at your own speed. (Answers at the back show you how you're doing.) Famous for their clarity, wealth of illustrations and examples--and lack of dreary minutiae--Schaum's Outlines have sold more than 30 million copies worldwide. This guide will show you why!


Customer Reviews:

1 out of 5 stars One of the Schaum's Outlines I Like Least   March 12, 2008
William J. Stockich (Salt Lake City, UT USA)
I've self-studied about 30 of the Schaum's Outlines in mathematics and physics and of them all I found the solutions provided by Scheid in this Outline to be one of the most innnaccessible of all. Most of the other Outlines were stimulating because enough steps were included in the solutions to lead me to an understanding and confidence in my progress. With Scheid's effort I experienced repeated frustration, so much so that I finally gave up in disgust around one-third of the way through. I feel that this book may be worthwhile for study by someone already possessing some knowledge of numerical analysis, but as an introduction to the subject, I feel it is far too advanced.


5 out of 5 stars A book with an audience   June 13, 2007
M. Henri De Feraudy (France)
1 out of 1 found this review helpful

With no previous background in numerical analysis, I bought this book on the recommendation of my boss who loved the first edition.
I had also ordered a whole lot of other books (many from Dover editions). It turns out this is the one I love to pick up from time to time so as to learn a new idea.
It goes straight to the point and gives your mind something to munch on.
I suppose that with time I'll be completing with some of my other books, to look for the rigorous proofs and so on, but for the time being this book is preparing me.



1 out of 5 stars A book with no audience?   November 14, 2006
D. Hundley (Walla Walla, WA United States)
6 out of 7 found this review helpful

Looking for a supplementary text for my Numerical Analysis course, I had my students pick up this text- I have found that other Outlines give a lot of excellent worked examples and provide good summaries- Not this text. If you are a beginning student, go get yourself a real text (I would highly recommend Burden and Faires, or the new text by Tim Sauer). This text offers little to no insight into the algorithms or the analysis, and spends way too much space on one dimensional interpolation problems. If you're simply looking for summaries of algorithms and practical advice on implementation, a much better text is the "Numerical Recipes" books. In summary, I'm not sure who the audience is for this book- There are many, much better, options out there.


4 out of 5 stars Excellent Solutions Book for Fast Answers!   June 1, 2006
Dirk J. Willard (Chicago, IL)
3 out of 3 found this review helpful

I've had this outline for years. My only complaint about Schaum's is that sometimes their answers are not in enough detail and their indexes are skimpy. Outlines live and die based on their detailed solutions to solved problems and their index. This particular outline is excellent. All the basic numerical methods are presented with the standard format: theory, solved problems, problems with answers. What could be added, either here, or in future text (separate) would be an optimization methods section: differential search, Hooke & Jeeves min./max. search and the Golden Mean search. The later, especially, is easy to program into Excel so it would useful to show the pitfalls in these methods. All in all, this is a text you want in your engineering collection for those problems that require detailed analysis.

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4 out of 5 stars useful revision of many numerical methods   December 31, 2004
W Boudville (Terra, Sol 3)
4 out of 5 found this review helpful

Scheid gives us a broad range of methods in numerical analysis. The 846 problems can certainly keep you busy. Plus, the book is also useful as a concise summary of the most common and useful methods in the field. Students of maths, physical sciences and engineering should already be familiar with several of the methods. Like performing numerical integration or differentiation, because these mathematical steps are the fundamental calculus operations, and those fields all use these. So too is finding roots of equations, and for this, there is a chapter on Newton's method. Which tends to assume that you have an analytic form for the function and for its derivative, where you want the roots of the function.

The book also supports statistics. Unsurprisingly, since statistics is inherently about numerical evaluations. So we have least squares methods of curve fitting, and Monte Carlo methods, where the latter can also be used for numerical integration.

Ironically, while the Monte Carlo is described, the book is somewhat weak on methods for generating random numbers. And how to measure the "randomness" of such algorithms. For this, I suggest you turn to "The Art of Computer Programming" by Donald Knuth. He has an excellent length discussion on the subject.

Curve fitting is also discussed in a chapter on splines. You may already be acquainted with these, in the context of graphics packages which can fit B splines to data points.


Tags
numerical analysis  numerical methods  probability  statistics  study guides  
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