| Applied Numerical Methods for Engineers |  | Author: Terrence J. Akai
Publisher: Wiley
Category: Book
Buy Used: $9.11
New (19) Used (24) from $9.11
Rating:  1 reviews
Sales Rank: 1369074
Media: Hardcover
Pages: 410
Number Of Items: 1
Shipping Weight (lbs): 2.1
Dimensions (in): 9.6 x 7.8 x 1
ISBN: 0471575232
Dewey Decimal Number: 620.0015194
EAN: 9780471575238
Publication Date: November 1993
Availability: Usually ships in 1-2 business days
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Shipping: International shipping available
Condition: isbn matches very clean hardcover w/ light wear and very clean text fast shipping w/ confirmation, no international orders over 4 lbs.
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| Editorial Reviews:
Product Description
This book is also available through the Introductory Engineering Custom Publishing System. If you are interested in creating a course-pack that includes chapters from this book, you can get further information by calling 212-850-6272 or sending email inquiries to engineerjwiley.com. Designed to cover scores of numerical techniques (including statistical methods) encountered by engineers and technologists. Pedagogically sound it uses a conversational style and contains highlighted key words and end-of-chapter summaries along with method summary, pitfalls and recommendations for choice of techniques. 800f the worked examples and case studies are based on applied problems. A complete chapter on design features problems relevant to using this tool in engineering practice. Offers over 40 pseudocodes for implementing methods discussed.
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| Customer Reviews:
Good text for an undergrad class January 23, 2004
W Boudville (Terra, Sol 3)
7 out of 7 found this review helpful
A very hands-on, applied bent to this book. Designed explicitly to cater to engineering undergraduates, it forsakes strict mathematical rigour for what is more useful to engineers. Namely, there is emphasis on numerous examples, that are fully described. So much so that they may be considered case studies.The theme is one of a pragmatic approach to using statistics in an engineering context. Many algorithms are not presented as actual code in some computer language, but as pseudocode. This may be of use to an instructor wondering whether to use this book or not. The pseudocode readily lends itself to assignment problems where the student has to implement it in some actual source code. This has a moderate level of difficulty, and would be reasonable problems to assign. Each should not take more than a few hours (3?), assuming that the student is already competent in a computer language.
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