To purchase hard copies of this book, please email:
orders@intechopen.com
By only printing on demand InTech ensures our carbon footprint is kept to a minimum.
The data below shows the environmental impact of printing one single book:
61.47 kg wood
3.31 g CO2
55.81 ml Water
Share this page
Cellular Automata - Innovative Modelling for Science and Engineering
Edited by Alejandro Salcido, ISBN 978-953-307-172-5, Hard cover, 426 pages, Publisher: InTech, Published: April 11, 2011 under CC BY-NC-SA 3.0 license, in subject Numerical Analysis and Scientific Computing
DOI: 10.5772/2007
Modelling and simulation are disciplines of major importance for science and engineering. There is no science without models, and simulation has nowadays become a very useful tool, sometimes unavoidable, for development of both science and engineering. The main attractive feature of cellular automata is that, in spite of their conceptual simplicity which allows an easiness of implementation for computer simulation, as a detailed and complete mathematical analysis in principle, they are able to exhibit a wide variety of amazingly complex behaviour. This feature of cellular automata has attracted the researchers' attention from a wide variety of divergent fields of the exact disciplines of science and engineering, but also of the social sciences, and sometimes beyond. The collective complex behaviour of numerous systems, which emerge from the interaction of a multitude of simple individuals, is being conveniently modelled and simulated with cellular automata for very different purposes. In this book, a number of innovative applications of cellular automata models in the fields of Quantum Computing, Materials Science, Cryptography and Coding, and Robotics and Image Processing are presented.
This book is indexed in:
Book contents
- Chapter 1Information-Theoretic Modeling and Analysis of Stochastic Behaviors in Quantum-Dot Cellular Automata
- Chapter 2Architectural Design of Quantum Cellular Automata to Implement Logical Computation
- Chapter 3Magnetic QCA Design: Modeling, Simulation and Circuits
- Chapter 4Conservative Reversible Elementary Cellular Automata and their Quantum Computations
- Chapter 5Quadra-Quantum Dots and Related Patterns of Quantum Dot Molecules: Basic Nanostructures for Quantum Dot Cellular Automata Application
- Chapter 6Quantum Cellular Automata Controlled Self-Organizing Networks
- Chapter 7Quantum-Chemical Design of Molecular Quantum-Dot Cellular Automata (QCA): A New Approach from Frontier Molecular Orbitals
- Chapter 8Modeling of Macrostructure Formation during the Solidification by using Frontal Cellular Automata
- Chapter 9Point Automata Method for Dendritic Growth
- Chapter 10Simulation of Dendritic Growth in Solidification of Al-Cu alloy by Applying the Modified Cellular Automaton Model with the Growth Calculation of Nucleus within a Cell
- Chapter 11Mesoscopic Modelling of Metallic Interface Evolution Using Cellular Automata Model
- Chapter 12Deeper Investigating Adequate Secret Key Specifications for a Variable Length Cryptographic Cellular Automata Based Model
- Chapter 13Cryptography in Quantum Cellular Automata
- Chapter 14Research on Multi-Dimensional Cellular Automation Pseudorandom Generator of LFSR Architecture
- Chapter 15An Improved PRNG Based on the Hybrid between One- and Two- Dimensional Cellular Automata
- Chapter 16A Framework of Variant Logic Construction for Cellular Automata
- Chapter 17Using Probabilistic Cellular Automaton for Adaptive Modules Selection in the Human State Problem
- Chapter 18Design of Self-Assembling, Self-Repairing 3D Irregular Cellular Automata
- Chapter 19Cellular Automata for Medical Image Processing
- Chapter 20Accelerating 3D Cellular Automata Computation with GP GPU in the Context of Integrative Biology
