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MATLAB for Engineers Explained
 
 
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MATLAB for Engineers Explained [Hardcover]

Fredrik Gustafsson (Author), Niclas Bergman (Author)
4.5 out of 5 stars  See all reviews (2 customer reviews)

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Book Description

March 10, 2003

Based on the new 'guided-tour' concept that eliminates the start-up transient encountered in learning new programming languages, this beginner's introduction to MATLAB teaches a sufficient subset of the functionality and gives the reader practical experience on how to find more information. Recent developments in MATLAB to advance programming are described using realistic examples in order to prepare students for larger programming projects. In addition, a large number of exercises, tips, and solutions mean that the course can be followed with or without a computer.  The development of MATLAB programming and its use in engineering courses makes this a valuable self-study guide for both engineering students and practicing engineers.


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Customers buy this book with Getting Started with MATLAB: A Quick Introduction for Scientists and Engineers $28.04

MATLAB for Engineers Explained + Getting Started with MATLAB: A Quick Introduction for Scientists and Engineers


Editorial Reviews

Review

From the reviews:

"The book consists of three parts: an initiation in matlab, more advanced programming in matlab, and some elaborated applications. … The text gives a bottom-up learning-by-example approach. … Thus the reader is forced to sit at the computer and do experiments, which is in my opinion the best and fastest way to learn matlab. The excellent help tool of matlab should do the rest. … The command summaries in the appendices make it … a substitute for the matlab manuals." (Adhemar Bultheel, Bulletin of the Belgian Mathematical Society, Vol. 12 (1), 2005)


Product Details

  • Hardcover: 218 pages
  • Publisher: Springer; 1st Edition. edition (March 10, 2003)
  • Language: English
  • ISBN-10: 1852336978
  • ISBN-13: 978-1852336974
  • Product Dimensions: 9.5 x 7.1 x 0.7 inches
  • Shipping Weight: 1.2 pounds (View shipping rates and policies)
  • Average Customer Review: 4.5 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #1,153,815 in Books (See Top 100 in Books)

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7 of 7 people found the following review helpful:
4.0 out of 5 stars Great concise hybrid introduction, April 30, 2004
This review is from: MATLAB for Engineers Explained (Hardcover)
This book has a rather unique style... it's broken into 27 mini-lectures split across three main 'topics': Learning MatLab, Advanced Programming, and Applications. Each mini-lecture constitutes a some 2-10 or so pages where they describe a particular problem and its solution on the left side of the page and list the Matlab code to solve that problem on the right hand side. They don't usually give much motivation for _why_ you might actually care about that particular problem, but if it's not reasonably self-evident (as in the case of the Learning/Advanced Matlab), most of the solutions are so compelling that it opens your eyes to ways to solves other problems that you might have never thought of before. Note that the authors assume that, for any given problem, you already have a grasp of the concepts involved. I.e., when they discuss eigenvalues and eigenvectors, the emphasis is on their use to solve a problem, but they assume you already know the definition of the 'pieces.' The applications are usually at the level of an advanced undergraduate or graduate level curriculum (i.e., they are not trivial).

What you get is a TREMENDOUS amount of information in 218 pages. It's not trying in any way to be a complete reference to Matlab, but instead is trying to get you just enough information about lots of very different aspects of programming and applications that you'll have no problem filling in the details for yourself. Hence, I wouldn't recommend it for beginners, but if you've already played with some other math package (or Matlab itself) and have an idea as to the basics, you can become a much more proficient 'power user' with this book.

At the end of many mini-lectures, there are various 'exercises' for the ready to complete. Happily, the solutions are included in the back of the book! In the applications section, the exercises are not always particularly Mathlab related but instead are intended to get you to solidify your understanding of, say, SVD so that you don't just trust the tool blindly. As the exercises form a valuable type of feedback, it makes the book quite usable for self-instruction.

I don't think there's such a thing as a 'perfect' book that tries to address so many topics while keeping the page count reasonable, so while I can't give this particular attempt 5 stars, it's as good as any other I've seen and the price is quite reasonable for what you get.

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4 of 4 people found the following review helpful:
5.0 out of 5 stars Simply GREAT, January 4, 2006
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This review is from: MATLAB for Engineers Explained (Hardcover)
I know this book from its earliest inception ("An introductory course in MATLAB", Gustafsson, 1997), and I have always loved it.
I would recommend this book to three types of people:
- Anyone new to MATLAB.
- Anyone who already knows MATLAB but who never had the opportunity to learn it the right way. I mean those who think they know MATLAB but still use for-loops.
- Anyone trying to teach MATLAB.
Furthermore, even experienced MATLAB users will have a lot of fun, specially with the exercises (with solutions!).
Another nice thing about this book is that it does not emphasize the gimmicks in the latest releases, but rather the philosophy behind MATLAB. 10 years from now, people may be using MATLAB release 34, still, this book will be useful.
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Inside This Book (learn more)
First Sentence:
The name MATLAB is an acronym that stands for MATrix LABoratory. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
comet plot, function definition line, current figure window, matlab search path, matlab path, inline object, colon operator, calling syntax, damped spring, matlab functions, output arguments, full matrices, matlab code, startup file, eigenvalue decomposition
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