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An Introduction to Programming and Numerical Methods in MATLAB
 
 
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An Introduction to Programming and Numerical Methods in MATLAB [Paperback]

Stephen R. Otto (Author), James P. Denier (Author)
4.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

May 3, 2005 1852339195 978-1852339197 1st Edition.
An elementary first course for students in mathematics and engineering Practical in approach: examples of code are provided for students to debug, and tasks – with full solutions – are provided at the end of each chapter Includes a glossary of useful terms, with each term supported by an example of the syntaxes commonly encountered

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Editorial Reviews

Review

From the reviews of the first edition: "This book is an introduction to the numerical methods that are frequently used in science and engineering undergraduate courses and it is based on the MATLAB programming environment. … The text is easy to read even for those who have little experience with computer practice. … There are three appendices and the most useful of them, about 70 pages, gives solutions to the tasks at the end of chapters." (Matti Vuorinen, Zentralblatt MATH, Vol. 1076, 2006)

From the Back Cover

MATLAB is a powerful programme, which naturally lends itself to the rapid implementation of most numerical algorithms. This text, which uses MATLAB, gives a detailed overview of structured programming and numerical methods for the undergraduate student. The book covers numerical methods for solving a wide range of problems, from integration to the numerical solution of differential equations or the stimulation of random processes. Examples of programmes that solve problems directly, as well as those that use MATLAB’s high-level commands are given. Each chapter includes extensive examples and tasks, at varying levels of complexity. For practice, the early chapters include programmes that require debugging by the reader, while full solutions are given for all the tasks. The book also includes: a glossary of MATLAB commands appendices of mathematical techniques used in numerical methods. Designed as a text for a first course in programming and algorithm design, as well as in numerical methods courses, the book will be of benefit to a wide range of students from mathematics and engineering, to commerce.

Product Details

  • Paperback: 480 pages
  • Publisher: Springer; 1st Edition. edition (May 3, 2005)
  • Language: English
  • ISBN-10: 1852339195
  • ISBN-13: 978-1852339197
  • Product Dimensions: 9.9 x 7 x 1.1 inches
  • Shipping Weight: 1.9 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #1,092,772 in Books (See Top 100 in Books)

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8 of 9 people found the following review helpful:
4.0 out of 5 stars fast way to implement the algorithms, July 17, 2005
This review is from: An Introduction to Programming and Numerical Methods in MATLAB (Paperback)
Otto certainly gives you a good exposure to Matlab. The many examples and problems will greatly help you acquire the expertise, if you can knuckle down and tackle them.

The other utility of the book is in learning the various numerical methods, independent of the specific language of Matlab that they are implemented in. There is a possible advantage to doing so with Matlab, as contrasted to coding the methods in a general purpose language like C or Java. Since Matlab is already optimised [in some sense] for handling such methods. And especially with easily accessible and powerful graphing routines readily at hand. In other languages, a lot of your effort will inevitably be focused on writing this routines, as opposed to actually dealing with the numerical methods themselves.
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Inside This Book (learn more)
First Sentence:
MATLAB is an incredibly powerful tool, but in order to use it safely you need to be able to understand how it works and to be very precise when you enter commands. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
dot arithmetic, clf plot, end disp, format rat, corrected code, parameter retrieval, second line sets, trapezium rule, leading diagonal, double array, plot command, starting guess, guess point
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Glossary of Useful Terms, Tasks Task, Simple Calculations, Tasks Solution, Runge Kutta, Name Size Bytes Class, Zeros of Higher-Dimensional Functions
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