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Differential Equations with MatlabPreface© Copyright 2005 John Wiley and Sons, Inc.
Traditional introductory courses in ordinary differential equations (ODE)
have concentrated on teaching a repertoire of
techniques for finding formula solutions of various classes of
differential equations. Typically, the result was rote application
of formula techniques without a serious qualitative
understanding of such fundamental aspects of the subject as stability,
asymptotics, dependence on parameters, and numerical methods. These
fundamental ideas are difficult to teach because they have a
great deal of geometrical content and, especially in the case of
numerical methods, involve a great deal of computation. Modern
mathematical software systems, which are particularly effective for
geometrical and numerical analysis, can help to overcome these
difficulties.
This book changes the emphasis in the traditional ODE
course by using a mathematical software system to introduce
numerical methods, geometric interpretation, symbolic computation, and
qualitative analysis into the course in a basic way.
The mathematical software system we use is MATLABTM. (This book is also available in
Mathematica and Maple versions.) We assume that the
user has no prior experience with MATLAB. We include concise
instructions for using MATLAB on four popular computer
platforms: Windows, LINUX, Macintosh, and
UNIX. This book
is not a comprehensive introduction or reference manual to either
MATLAB or
any of the computer platforms. Instead, it focuses on the specific
features of MATLAB that are useful for analyzing differential
equations.
A new addition in this second edition is a discussion of
Simulink Acknowledgment and Disclaimer.We are pleased to acknowledge support of our research by the National Science Foundation, which contributed over many years to the writing of this book. Our work on the second edition was partially supported by NSF Grants DMS-0103647, DMS-0104087, and DMS-0341982. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.Brian R. Hunt Ronald L. Lipsman John E. Osborn Jonathan M. Rosenberg
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