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Applied Numerical Methods Using MATLAB [Kindle Edition]

Won Y. Yang , Wenwu Cao , Tae-Sang Chung , John Morris
4.5 out of 5 stars  See all reviews (4 customer reviews)

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Book Description

In recent years, with the introduction of new media products, there has been a shift in the use of programming languages from FORTRAN or C to MATLAB for implementing numerical methods. This book makes use of the powerful MATLAB software to avoid complex derivations, and to teach the fundamental concepts using the software to solve practical problems. Over the years, many textbooks have been written on the subject of numerical methods. Based on their course experience, the authors use a more practical approach and link every method to real engineering and/or science problems. The main benefit is that engineers don't have to know the mathematical theory in order to apply the numerical methods for solving their real-life problems.

An Instructor's Manual presenting detailed solutions to all the problems in the book is available online.

Editorial Reviews


"For academic libraries, mathematicians, students, and working professionals…highly recommended." (CHOICE, November 2005)

From the Back Cover

Learn how to use MATLAB to solve complex numerical problems

Increasingly, scientists and engineers favor MATLAB over conventional programming languages such as FORTRAN and C when they wish to solve complex problems. This book will enable readers to solve problems without needing to understand all the details of the underlying theory of numerical methods. By providing many examples of the uses of similar functions, it guides them towards the selection of the appropriate MATLAB functions for solving their problem efficiently.

The authors have incorporated existing MATLAB functions into a series of simplified, yet complete programs that may be readily adapted by students and practitioners to solve real-world engineering and science problems. Key features include:

  • More than 100 supplemental codes
  • Complete MATLAB programs to demonstrate solutions to real-life
  • exercises and problems
  • Downloadable MATLAB programs to correspond with the text
  • Interactive demonstration programs that course instructors can use to produce visual presentations of the solution processes of some algorithms
  • An overview of the Partial Differential Equation (PDE) toolbox
  • An appendix with MATLAB commands/functions for symbolic computation

With very little prior programming experience, students and practitioners will find this approach invaluable to quickly learn how to solve their numerical problems.

Product Details

  • File Size: 6657 KB
  • Print Length: 528 pages
  • Publisher: Wiley-Interscience; 1 edition (July 20, 2007)
  • Sold by: Amazon Digital Services, Inc.
  • Language: English
  • ASIN: B000QTEB4G
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Lending: Enabled
  • Amazon Best Sellers Rank: #1,904,281 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Customer Reviews

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Most Helpful Customer Reviews
13 of 13 people found the following review helpful
4.0 out of 5 stars non-trivial analysis July 29, 2006
The authors demonstrate how Matlab can be used for advanced numerical calculations. Many Matlab books just use numerical examples that are really elementary, from a scientific or engineering viewpoint. Those texts are more about teaching Matlab. Hence they choose simple examples, to reach a broad audience. Whereas the audience for this book is rather select. Probably tending towards professionals in the physical sciences or engineering. Or possibly grad students in these fields.

The text starts with matrix [linear] algebra. Explaining how to invert a linear system of equations. Then the book goes onto finding roots of non-linear equations, using Newton-Raphson iteration. And the always useful methods of numerical differentiation and integration. Plus other topics. Each chapter has an extensive problem set.

A central theme is that you don't need much previous knowledge of Matlab. The book guides you into its abilities to help your research.
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4 of 4 people found the following review helpful
5.0 out of 5 stars Best book you can buy for MATLAB! November 3, 2012
I have looked at about 20 matlab books and this is by far the best one you can buy. This book provides examples using m-files and is very easy to understand.
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3 of 3 people found the following review helpful
4.0 out of 5 stars Good book for simple numerical methods January 27, 2013
Format:Hardcover|Verified Purchase
The book is very well organized , with good descriptions and code related to the numerical methods presented. It is an excellent reference book for everyone using numerical methods and Matlab, with a slight emphasis on engineering.
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1 of 1 people found the following review helpful
5.0 out of 5 stars Very Helpful MATLAB Book January 20, 2015
By Cameron
Format:Hardcover|Verified Purchase
This is a great MATLAB book. I had to purchase it for school and it was very helpful. The book was well laid out and had many good examples. Great guide for using MATLAB.
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More About the Author

Won Y. Yang has been a professor at Dept. of Electrical Engineering of Chung-Ang University, Seoul, Korea, since 1986. (Personal Homepage:, Email Address: He has earned B.S. in Electrical Eng. from Seoul National University, Seoul, Korea, 1975, M.S. in Electrical Eng. from Seoul National University, Seoul, Korea, 1981, M.S. in Applied Math. from University of Southern California, LA, U.S.A., 1985, and Ph.D. in Electrical Eng. from University of Southern California, LA, U.S.A., 1986.
He is working on the project of a book titled
"MIMO-OFDM Wireless Communication with MATLAB", which will be published
by Wiley in 2010, and will work on "Digital Signal Processing with MATLAB" and
"Control System with MATLAB". He authored
"MATLAB/Simulink for Digital Communication" (A-Jin Publishing, 2009),
"Signals and Systems with MATLAB" (Springer, 2009), "Circuit Systems with MATLAB and PSpice" (Wiley, 2007), "OrCAD/PSpice and Basic Electronic Experiments" (in Korean, 2005), "Applied Numerical Methods Using MATLAB" (Wiley, 2005), etc.


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