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The Nonlinear Workbook cover

New Edition: The Nonlinear Workbook (6th Edition)

The study of nonlinear dynamical systems has advanced tremendously in the last 20 years, making a big impact on science and technology. This book provides all the techniques and methods used in nonlinear dynamics. The concepts and underlying mathematics are discussed in detail.

The numerical and symbolic methods are implemented in C++, SymbolicC++ and Java. Object-oriented techniques are also applied. The book contains more than 150 ready-to-run programs.

The text has also been designed for a one-year course at both the junior and senior levels in nonlinear dynamics. The topics discussed in the book are part of e-learning and distance learning courses conducted by the International School for Scientific Computing, University of Johannesburg.

Sample Chapter(s)
Chapter 1: Nonlinear and Chaotic Maps (482 KB)

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Contents:
  • Nonlinear and Chaotic Maps
  • Time Series Analysis
  • Autonomous Systems in the Plane
  • Nonlinear Hamilton Systems
  • Nonlinear Dissipative Systems
  • Nonlinear Driven Systems
  • Controlling of Chaos
  • Synchronization of Chaos
  • Fractals
  • Cellular Automata
  • Solving Differential Equations
  • Neural Networks
  • Genetic Algorithms
  • Gene Expression Programming
  • Optimization
  • Discrete Wavelets
  • Discrete Hidden Markov Processes
  • Fuzzy Sets and Fuzzy Logic

Readership: Students, researchers and academics in computer science, engineering, mathematics, and theoretical and computational physics.
Free Access
FRONT MATTER
  • Pages:i–xix

https://doi.org/10.1142/9789812818546_fmatter

No Access
Nonlinear and Chaotic Maps
  • Pages:1–84

https://doi.org/10.1142/9789812818546_0001

No Access
Time Series Analysis
  • Pages:85–110

https://doi.org/10.1142/9789812818546_0002

No Access
Autonomous Systems in the Plane
  • Pages:111–122

https://doi.org/10.1142/9789812818546_0003

No Access
Nonlinear Hamilton Systems
  • Pages:123–138

https://doi.org/10.1142/9789812818546_0004

No Access
Nonlinear Dissipative Systems
  • Pages:139–162

https://doi.org/10.1142/9789812818546_0005

No Access
Nonlinear Driven Systems
  • Pages:163–190

https://doi.org/10.1142/9789812818546_0006

No Access
Controlling of Chaos
  • Pages:191–202

https://doi.org/10.1142/9789812818546_0007

No Access
Synchronization of Chaos
  • Pages:203–216

https://doi.org/10.1142/9789812818546_0008

No Access
Fractals
  • Pages:217–244

https://doi.org/10.1142/9789812818546_0009

No Access
Cellular Automata
  • Pages:245–260

https://doi.org/10.1142/9789812818546_0010

No Access
Solving Differential Equations
  • Pages:261–282

https://doi.org/10.1142/9789812818546_0011

No Access
Neural Networks
  • Pages:283–356

https://doi.org/10.1142/9789812818546_0012

No Access
Genetic Algorithms
  • Pages:357–414

https://doi.org/10.1142/9789812818546_0013

No Access
Gene Expression Programming
  • Pages:415–440

https://doi.org/10.1142/9789812818546_0014

No Access
Optimization
  • Pages:441–464

https://doi.org/10.1142/9789812818546_0015

No Access
Discrete Wavelets
  • Pages:465–482

https://doi.org/10.1142/9789812818546_0016

No Access
Discrete Hidden Markov Processes
  • Pages:483–512

https://doi.org/10.1142/9789812818546_0017

No Access
Fuzzy Sets and Fuzzy Logic
  • Pages:513–592

https://doi.org/10.1142/9789812818546_0018

Free Access
BACK MATTER
  • Pages:593–605

https://doi.org/10.1142/9789812818546_bmatter