Fr. 188.00

Cellular Automata - A Parallel Model

English · Paperback / Softback

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Description

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Cellular automata can be viewed both as computational models and modelling systems of real processes. This volume emphasises the first aspect. In articles written by leading researchers, sophisticated massive parallel algorithms (firing squad, life, Fischer's primes recognition) are treated. Their computational power and the specific complexity classes they determine are surveyed, while some recent results in relation to chaos from a new dynamic systems point of view are also presented.
Audience: This book will be of interest to specialists of theoretical computer science and the parallelism challenge.

List of contents

A general survey.- An Introduction to Cellular Automata.- The Game of Life: Universality Revisited.- Algorithmics.- Computations on Cellular Automata.- Computations on Grids.- Computational power.- Cellular Automata as Languages Recognizers.- Computational Complexity of Cellular Automata: An Overview.- A Counting Equivalence Classes Method to Prove Negative Results.- Dynamics.- Topological Definitions of Deterministic Chaos.- Modeling.- Modeling Diffusion of Innovations with Probabilistic Cellular Automata.- Cellular Automata Models and Cardiac Arrhythmias.- Particular techniques examples.- Dynamic Properties of an Automaton with Memory.- Linear Cellular Automata and de Bruijn Automata.- Cellular Automata, Finite Automata, and Number Theory.- Decision Problems on Global Cellular Automata.- An Introduction to Automata on Graphs.

Product details

Assisted by Delorme (Editor), M Delorme (Editor), M. Delorme (Editor), Mazoyer (Editor), Mazoyer (Editor), J Mazoyer (Editor), J. Mazoyer (Editor)
Publisher Springer Netherlands
 
Languages English
Product format Paperback / Softback
Released 20.10.2010
 
EAN 9789048151431
ISBN 978-90-481-5143-1
No. of pages 374
Dimensions 155 mm x 20 mm x 235 mm
Weight 581 g
Illustrations X, 374 p.
Series Mathematics and Its Applications
Mathematics and its Applications
Subject Natural sciences, medicine, IT, technology > IT, data processing > IT

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