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This book provides an introduction to the theory of dynamical systems with the aid of the Mathematica computer algebra package. The book has a very hands-on approach and takes the reader from basic theory to recently published research material. Emphasized throughout are numerous applications to biology, chemical kinetics, economics, electronics, epidemiology, nonlinear optics, mechanics, population dynamics, and neural networks.
The book is intended for senior undergraduate and graduate students as well as working scientists in applied mathematics, the natural sciences, and engineering.
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Produktbeschreibung
This book provides an introduction to the theory of dynamical systems with the aid of the Mathematica computer algebra package. The book has a very hands-on approach and takes the reader from basic theory to recently published research material. Emphasized throughout are numerous applications to biology, chemical kinetics, economics, electronics, epidemiology, nonlinear optics, mechanics, population dynamics, and neural networks.

The book is intended for senior undergraduate and graduate students as well as working scientists in applied mathematics, the natural sciences, and engineering. Many chapters of the book are especially useful as reference material for senior undergraduate independent project work.

Working Mathematica notebooks will be available at

http://library.wolfram.com/infocenter/Books/AppliedMathematics/.


Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
Stephen Lynch is Senior Lecturer in the Department of Computing and Mathematics at Manchester Metropolitan University. Also by the author: Dynamical Systems with Applications using Maple(TM), ISBN 978-0-8176-4389-8 Dynamical Systems with Applications using MATLAB®, ISBN 978-3-319-06819-0
Rezensionen
"Lynch's book provides a through and very readable introduction to the dynamical systems. It addresses all the topics that one would expect, including both continuous-time and discrete-time models and at a level appropriate for experienced undergraduates and early postgraduates." (J.M Christian, Mathematics Today, Vol. 54 (04), August, 2018)