The Nonlinear Workbook
eBook - PDF

The Nonlinear Workbook

Chaos, Fractals, Cellular Automata, Neural Networks, Genetic Algorithms, Gene Expression Programming, Support Vector Machine, Wavelets, Hidden Markov Models, Fuzzy Logic with C++, Java and SymbolicC++ Programs

  1. 628 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

The Nonlinear Workbook

Chaos, Fractals, Cellular Automata, Neural Networks, Genetic Algorithms, Gene Expression Programming, Support Vector Machine, Wavelets, Hidden Markov Models, Fuzzy Logic with C++, Java and SymbolicC++ Programs

About this book

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.

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Yes, you can access The Nonlinear Workbook by Willi-Hans Steeb in PDF and/or ePUB format, as well as other popular books in Ciencia de la computación & Programación en C++. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Contents
  2. Preface
  3. Symbol Index
  4. 1 Nonlinear and Chaotic Maps
  5. 2 Time Series Analysis
  6. 3 Autonomous Systems in the Plane
  7. 4 Nonlinear Hamilton Systems
  8. 5 Nonlinear Dissipative Systems
  9. 6 Nonlinear Driven Systems
  10. 7 Controlling of Chaos
  11. 8 Synchronization of Chaos
  12. 9 Fractals
  13. 10 Cellular Automata
  14. 11 Solving Differential Equations
  15. 12 Neural Networks
  16. 13 Genetic Algorithms
  17. 14 Gene Expression Programming
  18. 15 Optimization
  19. 16 Discrete Wavelets
  20. 17 Discrete Hidden Markov Processes
  21. 18 Fuzzy Sets and Fuzzy Logic
  22. Bibliography
  23. Index