Dynamical Systems with Applications Using Matlab
Beginning with a tutorial guide to MATLAB(r), the text thereafter is divided into two main areas. In Part I, both real and complex discrete dynamical systems are considered, with examples presented from population dynamics, nonlinear optics, and materials science. Part II includes examples from mechanical systems, chemical kinetics, electric circuits, economics, population dynamics, epidemiology, and neural networks. Common themes such as bifurcation, bistability, chaos, fractals, instability, multistability, periodicity, and quasiperiodicity run through several chapters. Chaos control and multifractal theories are also included along with an example of chaos synchronization. Some material deals with cutting-edge published research articles and provides a useful resource for open problems in nonlinear dynamical systems.
Approximately 330 illustrations, over 300 examples, and exercises with solutions play a key role in the presentation.Additional applications and further links of interest are also available at the author's website.
The hands-on approach of "Dynamical Systems with Applications using MATLAB(r)" engages a wide audience of senior undergraduate and graduate students, applied mathematicians, engineers, and working scientists in various areas of the natural sciences.
Reviews of the author's published book "Dynamical Systems with Applications using Maple(r)":
"The text treats a remarkable spectrum of topics...and has a little for everyone. It can serve as an introduction to many of the topics of dynamical systems, and will help even the most jaded reader, such as this reviewer, enjoy some of the interactive aspects of studying dynamics using Maple(r)." - U.K. Nonlinear News
"...will provide a solid basis for both research and education in nonlinear dynamical systems." - The Maple Reporter