Download PDF Schaum's Outline of Numerical Analysis

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Schaum's Outline of Numerical Analysis

Download PDF Schaum's Outline of Numerical Analysis

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From the Back Cover

Confusing Textbooks? Missed Lectures? Not Enough Time? Fortunately for you, there's Schaum's. More than 40 million students have trusted Schaum's Outlines to help them succeed in the classroom and on exams. Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills. This Schaum's Outline gives you Practice problems with full explanations that reinforce knowledge Coverage of the most up-to-date developments in your course field In-depth review of practices and applications Fully compatible with your classroom text, Schaum's highlights all the important facts you need to know. Use Schaum's to shorten your study time-and get your best test scores! Schaum's Outlines-Problem Solved.

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About the Author

McGraw-Hill authors represent the leading experts in their fields and are dedicated to improving the lives, careers, and interests of readers worldwide

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Product details

Series: Schaum's Outline Series

Paperback: 471 pages

Publisher: McGraw-Hill; 2 edition (January 22, 1989)

Language: English

ISBN-10: 0070552215

ISBN-13: 978-0070552210

Product Dimensions:

8.1 x 0.8 x 10.8 inches

Shipping Weight: 2.8 pounds (View shipping rates and policies)

Average Customer Review:

3.5 out of 5 stars

11 customer reviews

Amazon Best Sellers Rank:

#986,175 in Books (See Top 100 in Books)

Deviated significantly from the materials presented in Richard Burdens Numerical Analysis. May be a better study book for other txt books.

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.

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.

good reference

The best introduction to any second or third year applied mathematics Numerical Analysis subject I have ever seen. Although this second edition is part of my professional reference library, I had a copy of the first edition when undertaking my Bachelor of Science degree at the University of Melbourne. The first edition was the set text I seem to remember in one of my second year applied mathematics subjects!My computation device for my pure and applied mathematics subjects back then was a handheld HP 21 calculator, together with a book of four digit mathematical tables for a few of the more obscure classical statistical results.No doubt an excellent introduction to any third year computer science theory of real number algorithms subject, too.The inherent problem of convergence vis-Ã -vis divergence of an algorithm that seems to work correctly for values near the symmetry points or axes is not covered very well, however. The results on convergence in complex analysis typically for an analytic function that there will be a circle of convergence, you will have to find in your complex analysis text or category theory text. Like results or conjectured results exist for circles spheres unit balls in N-space for other computational systems such as the vector cross product space (3D) the quaternions (4D) the Cayley Numbers non associative algebra (8D) and the conjectured 16 dimensional non associative algebra with additional operators D and ^ ... together with fixed point theorems, and sometimes for systems with the convergence existing to the point at infinity, generalized versions of Picard's Theorem ...Back to basics this text should set the student on the path to numerical analysis success, the inner glow that comes from proving oneself in the workplace that one can better everyone else's speed records!

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.If this review was useful, please say so.

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.

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Schaum's Outline of Numerical Analysis PDF

Schaum's Outline of Numerical Analysis PDF