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Download The Nonlinear Workbook: Chaos, Fractals, Cellular Automata, Neural Networks, Genetic Algorithms, Fuzzy Logic with C++, Java, Symbolic C++, and Reduce Program epub book

ISBN:9810240252

Author:	Willi-Hans Steeb
ISBN13:	978-9810240257
Title:	The Nonlinear Workbook: Chaos, Fractals, Cellular Automata, Neural Networks, Genetic Algorithms, Fuzzy Logic with C++, Java, Symbolic C++, and Reduce Program
Format:	docx rtf lrf mbr
ePUB size:	1949 kb
FB2 size:	1818 kb
DJVU size:	1894 kb
Language:	English
Category:	Programming
Publisher:	World Scientific Pub Co Inc; 1st edition (November 15, 1999)
Pages:	585

The Nonlinear Workbook: Chaos, Fractals, Cellular Automata, Neural Networks, Genetic Algorithms, Fuzzy Logic with C++, Java, Symbolic C++, and Reduce Program by Willi-Hans Steeb

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Discusses Chaos, Fractals, mobile Automata, Neural Networks, Genetic Algorithms, Fuzzy common sense with C++, Java, Symbolic C++ and decrease courses. Read or Download The nonlinear workbook: chaos, fractals, neural networks, genetic algorithms, fuzzy logic PDF. Best machine theory books. Essential Discrete Mathematics. This publication introduces readers to the math of computing device technological know-how and prepares them for the maths they are going to come across in different university classes. Additional info for The nonlinear workbook: chaos, fractals, neural networks, genetic algorithms, fuzzy logic. The a t t r i b u t e s clause in the definitions of model fragment classes defines the p a r a m e t e r functions that can be used on components being modeled by that model fragment class.

by Willi-Hans Steeb (Author).

The Nonlinear Workbook provides a comprehensive treatment of all the techniques in nonlinear dynamics together with C++, Java and SymbolicC++ implementations. The book not only covers the theoretical aspects of the topics but also provides the practical tools. To understand the material, more than 100 worked out examples and 150 ready to run programs are included.

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The Nonlinear Workbook provides a comprehensive treatment of all the techniques in nonlinear dynamics together with C++, Java and SymbolicC++ implementations. To understand the material, more than 100 worked out examples and 160 ready to run programs are included. Each chapter provides a collection of interesting problems.

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. World Scientific Publishing Company, 28 Mar 2005 - 608 sayfa.

Download PDF book format. Choose file format of this book to download: pdf chm txt rtf doc. Download this format book. The nonlinear workbook : chaos, fractals, cellular automata, neural networks, genetic algorithms, fuzzy logic : with C++, Java, SymbolicC++ and Reduce programs Willi-Hans Steeb. Book's title: The nonlinear workbook : chaos, fractals, cellular automata, neural networks, genetic algorithms, fuzzy logic : with C++, Java, SymbolicC++ and Reduce programs Willi-Hans Steeb. International Standard Book Number (ISBN): 9810248199 (electronic b.

In Stock - usually despatched within 24 hours. Format: Paperback, softback. Also by Willi-Hans Steeb View all. Computer Algebra With Symbolicc++.

Provides all the techniques and methods used in nonlinear dynamics. Discusses the study of nonlinear dynamical systems that have advanced tremendously in the last ten years, significantly impacting science and technology.

Reviews: 4

Ynye

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.

Cala

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.

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