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!

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Product Details

• Amazon Sales Rank: #79206 in Books
• Published on: 1988-10-01
• Original language: English
• Number of items: 1
• Binding: Paperback
• 471 pages

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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Customer Reviews

Nice balance of theory and applications
Like all Schaum's outlines, this will never be a classic but it is, among all numerical analysis (NA) texts that I own, easily the best for the sequence in which it presents things.

To make a sweeping generlisation, NA textbooks come in two flavours: (1) those that take an application-oriented approach and are divided into chapters based on what you want a numerical method to do for you, and (2) those that are properly considered texts on the theory of approximation and whose chapter sequences follow particular paths through the theory.

In this book the author attempts, and IMO, largely succeeds in combining these different approaches. I particularly liked his treatment of the collocation polynomial and his emphasis that the many and various interpolation formulae are all based on different expressions for it. Almost all NA texts point this out but many do so in passing, almost as an afterthought. Making the emphasis by the way you order the chapters is, IMO, the best way to do it.

Following the established Schaum's style, the main ideas are presented in the chapters proper with other topics visited in the worked problems. This too, IMO, this is a very effective approach, for the ability to solve problems is the only true indication that you actually understand the subject - particularly true of NA.

By comparison the chapters on numerical solution of differential equations are not as thorough as those in other texts, if only because that particular part of NA is a whole discipline in itself. On the other hand, the early chapters provide, IMO, a particularly clear grounding in the difference methods on which various numerical methods for differential equations are based.

Taken together the presentation sequence and balance between main text and solved problems make this book a useful companion to univerity courses in numerical methods. For some of the lighter courses, e.g. some of those taken as part of a computer science major, the book might even prove adequate in itself as a textbook. Certainly it's hard to beat at the price.

Schaum's outlines attract a wide range of reviews but I consider this one among the more successful of the series.