Written in a conversational style, this book is a complete introduction to numerical methods typical engineers will use. Incorporates design into the book, which is one of the most important trends in... This description may be from another edition of this product.
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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