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Simulating Continuous Fuzzy Systems (Studies in Fuzziness and Soft Computing)
Simulating Continuous Fuzzy Systems (Studies in Fuzziness and Soft Computing)
This book is the companion text to Simulating Fuzzy Systems which investigated discrete fuzzy systems through crisp discrete simulation. The current book studies continuous fuzzy dynamical systems using crisp continuous simulation. We start with a crisp continuous dynamical system whose evolution depends on a system of ordinary differential...
Writing Scientific Software: A Guide to Good Style
Writing Scientific Software: A Guide to Good Style
The core of scientific computing is designing, writing, testing, debugging and modifying numerical software for application to a vast range of areas: from graphics, meteorology and chemistry to engineering, biology and finance. Scientists, engineers and computer scientists need to write good code, for speed, clarity, flexibility and ease of re-use....
Continuum Theory (Lecture Notes in Pure and Applied Mathematics)
Continuum Theory (Lecture Notes in Pure and Applied Mathematics)
[A]ll of the appers of this volume have a consistent scientific value.
- Analele Stiintifice al Universitatii al I. Cuza

Celebrating the work of world-renowned mathematician Sam B. Nadler, Jr., this reference examines the most recent advances in the analysis of continua. The book offers articles on the contributions of Professor...

Mathematica DeMYSTiFied
Mathematica DeMYSTiFied
Need to learn MATHEMATICA? Problem SOLVED!

Take full advantage of all the powerful capabilities of Mathematica with help from this hands-on guide. Filled with examples and step-by-step explanations, Mathematica Demystified takes you from your very first calculation all the way to plotting complex fractals.

...
Radical Embodied Cognitive Science (Bradford Books)
Radical Embodied Cognitive Science (Bradford Books)
While philosophers of mind have been arguing over the status of mental representations in cognitive science, cognitive scientists have been quietly engaged in studying perception, action, and cognition without explaining them in terms of mental representation. In this book, Anthony Chemero describes this nonrepresentational approach (which he terms...
A Course in Real Analysis
A Course in Real Analysis

A Course in Real Analysis provides a firm foundation in real analysis concepts and principles while presenting a broad range of topics in a clear and concise manner. This student-oriented text balances theory and applications, and contains a wealth of examples and exercises. Throughout the text, the authors adhere to the idea that most...

Combinatorics, Automata and Number Theory (Encyclopedia of Mathematics and its Applications)
Combinatorics, Automata and Number Theory (Encyclopedia of Mathematics and its Applications)

This collaborative volume presents recent trends arising from the fruitful interaction between the themes of combinatorics on words, automata and formal language theory, and number theory. Presenting several important tools and concepts, the authors also reveal some of the exciting and important relationships that exist between these...

Neural Networks and Pattern Recognition
Neural Networks and Pattern Recognition
This book is one of the most up-to-date and cutting-edge texts available on the rapidly growing application area of neural networks. Neural Networks and Pattern Recognition focuses on the use of neural networksin pattern recognition, a very important application area for neural networks technology. The contributors are widely known...
Mind Design II: Philosophy, Psychology, and Artificial Intelligence
Mind Design II: Philosophy, Psychology, and Artificial Intelligence
"Ming Design II is a welcome update of its predecessor, itself a useful compendium on the philosophy of cognitive science. This new volume retains the intellectual foundations, and some discussions of classical AI built on them, while adding connectionism, situated AI, and dynamic systems theory as extra storeys. Which of these is...
Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)
Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)

Most tasks require a person or an automated system to reason--to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning...

Classical And Quantum Dissipative Systems
Classical And Quantum Dissipative Systems
This book discusses issues associated with the quantum mechanical formulation of dissipative systems. It begins with an introductory review of phenomenological damping forces, and the construction of the Lagrangian and Hamiltonian for the damped motion. It is shown, in addition to these methods, that classical dissipative forces can also be derived...
Instabilities, Chaos And Turbulence: An Introduction To Nonlinear Dynamics And Complex Systems
Instabilities, Chaos And Turbulence: An Introduction To Nonlinear Dynamics And Complex Systems
"This book is an excellent addition to the literature on how dynamics may be used to understand and model more complex phenomena such as fluid flow, or pattern formation, written by a leading expert in the field who has contributed to a lot of the original results. It is an ideal choice for scientists, engineers or mathematicians who wish to...
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