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Nonlinear Workbook: Chaos, Fractals, Cellular Automata, Neural Networks, Genetic Algorithms, Gene Expression: Chaos, Fractals, Cellular Automata, ... Fuzzy Logic with C++, Java and SymbolicC++ (Englisch) Taschenbuch – 17. Juni 2008

von Willi-Hans Steeb (Autor)

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The Nonlinear Workbook: Chaos, Fractals, Cellular Automata, Genetic Algorithms, Gene Expression Programming, Support Vector Machine, Wavelets, Hidden ... Java And Symbolicc++ Programs (6Th Edition)
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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.

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.

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Produktinformation

Taschenbuch: 626 Seiten
Verlag: World scientific publishing company; Auflage: Workbook (17. Juni 2008)
Sprache: Englisch
ISBN-10: 9812818537
ISBN-13: 978-9812818539
Größe und/oder Gewicht: 21,6 x 3,6 x 27,9 cm
Durchschnittliche Kundenbewertung: 2 Kundenrezensionen
Amazon Bestseller-Rang: Nr. 1.449.062 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)
- Nr. 228 in Fremdsprachige Bücher > Wissenschaft > Mathematik > Angewandte Mathematik > Lineare Programmierung
- Nr. 62263 in Fremdsprachige Bücher > Computer & Internet

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Produktbeschreibungen

Synopsis

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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mathwurm

An advanced workbook including some true jewels

29. November 2007

Format: Taschenbuch

As the title of the book says, this book is a true workbook for the
advanced researcher rather than a textbook. All topics relevant for
nonlinear analysis are covered and accompanied by easy-to-understand C++
programs. For me, it turned out to be really useful when I wanted to
implement state-of-the-art techniques in fractals or neural networks for
example. The text of the book is written in a compact way, and some
prerequisite knowledge might be required; but for those who are willing
to dig in the broad range of topics, some true jewels wait to be discovered.

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2 Personen fanden diese Informationen hilfreich

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Kommentar

R. Robert

You can't write for everyone

29. November 2007

Format: Taschenbuch

If you are looking for a book covering the most relevant topic/approaches/programs in the fields mentioned in the books' title, this is a book to go for. It is, however, called a 'Workbook', obviously implying the expectation that some of the details need to be furnished by the reader. It would also be fair to say that beyond the occasionally terse formulation, there is hardly any other author who writes for the reader in such a dedicated way. To me, this book has proven extremely useful.

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Amazon.com: 4 Rezensionen

calvinnme

Good overview of nonlinear dynamics

15. November 2005 - Veröffentlicht auf Amazon.com

Format: Taschenbuch

This book is an overview of all of the components of nonlinear dynamics. Nonlinear dynamics is a field of study that enables well-constructed predictive modeling of systems that might be difficult to solve otherwise. Such continuous systems were first widely modeled by ordinary and differential equations, but with the passage of time there are now tools and mathematical models at our disposal that make for a much more concise model of many systems. This workbook tries to touch on all of those mathematical tools. The first six chapters of the book has to do with modeling such complex systems in general, and the rest of the book is a survey of the tools needed to perform complex modeling. The book's format is that of briefly explaining a concept in a few pages, and then presenting a computer program that demonstrates the concept just explained. The explanations are very clear and concise, there are plenty of equations shown, and the accompanying code is well commented. If you want to really drill deeply into any of the concepts then you are going to need some other books. I suggest that for further reading for the mathematically inclined that you pick up "Chaos: An Introduction to Dynamical Systems" by Kathleen Alligood. For scientists that want to see specific problems that can be solved by dynamical systems I suggest the excellent "Nonlinear Dynamics and Chaos: With Applications in Physics, Biology, Chemistry, and Engineering" by Strogatz. The only real complaint I have against this book is that there is uneven coverage of different tools. For example, the author has a great deal to say about neural networks and fuzzy logic, but has very short chapters covering discrete wavelets and cellular automata. More material would have been great, since it is hard to find good books on discrete wavelets and cellular automata in particular. Some readers may also be annoyed that much of the book are code listings of the various demonstration programs. Overall, I would highly recommend it as one of several books that anyone interested in dynamical systems should definitely own. In particular, those individuals interested in the techniques of algorithmic composition of music might find this book a good jumping off point for studying the tools and techniques that make such compositions possible.

Lesen Sie weiter

13 Personen fanden diese Informationen hilfreich.

calvinnme

Exact same content as the cheaper and sturdy paperback version

20. Juli 2007 - Veröffentlicht auf Amazon.com

Overall, this is a good book on the various subjects it covers, but I have to wonder - why would you buy this expensive hardcover version when the paperback version costs a little more than half what this hardcover costs? The contents are the same, the publication date is the same, and having had my softcover copy for two years and made heavy use of it, it seems to be standing up to the wear and tear just fine.

This book is an overview of all of the components of nonlinear dynamics. Nonlinear dynamics is a field of study that enables well-constructed predictive modeling of systems that might be difficult to solve otherwise. Such continuous systems were first widely modeled by ordinary and differential equations, but with the passage of time there are now tools and mathematical models at our disposal that make for a much more concise model of many systems. This workbook tries to touch on all of those mathematical tools.

The first six chapters of the book has to do with modeling such complex systems in general, and the rest of the book is a survey of the tools needed to perform complex modeling. The book's format is that of briefly explaining a concept in a few pages, and then presenting a computer program that demonstrates the concept just explained. The explanations are very clear and concise, there are plenty of equations shown, and the accompanying code is well commented. If you want to really drill deeply into any of the concepts then you are going to need some other books. I suggest that for further reading for the mathematically inclined that you pick up "Chaos: An Introduction to Dynamical Systems" by Kathleen Alligood. For scientists that want to see specific problems that can be solved by dynamical systems I suggest the excellent "Nonlinear Dynamics and Chaos: With Applications in Physics, Biology, Chemistry, and Engineering" by Strogatz. The only real complaint I have against this book is that there is uneven coverage of different tools. For example, the author has a great deal to say about neural networks and fuzzy logic, but has very short chapters covering discrete wavelets and cellular automata. More material would have been great, since it is hard to find good books on discrete wavelets and cellular automata in particular. Some readers may also be annoyed that much of the book are code listings of the various demonstration programs.

Overall, I would highly recommend this as one of several books that anyone interested in dynamical systems should definitely own. In particular, those individuals interested in the techniques of algorithmic composition of music might find this book a good jumping off point for studying the tools and techniques that make such compositions possible.

Lesen Sie weiter

4 Personen fanden diese Informationen hilfreich.

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