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.
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WON Y. YANG, PhD, is Professor of Electrical Engineering at Chung-Ang University, Korea.
WENWU CAO, PhD, is Professor of Mathematics and Materials Science at The Pennsylvania State University.
TAE-SANG CHUNG, PhD, is Professor of Electrical Engineering at Chung-Ang University, Korea.
JOHN MORRIS, PhD, is Associate Professor of Computer Science and Electrical and Computer Engineering at The University of Auckland, New Zealand.
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:
With very little prior programming experience, students and practitioners will find this approach invaluable to quickly learn how to solve their numerical problems.
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