Cellular Automata and Modeling of Complex Physical Systems

Paul Manneville

ISBN 10: 3642752616 / ISBN 13: 9783642752612

Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Dez 2011, 2011

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -Cellular automata are fully discrete dynamical systems with dynamical variables defined at the nodes of a lattice and taking values in a finite set. Application of a local transition rule at each lattice site generates the dynamics. The interpretation of systems with a large number of degrees of freedom in terms of lattice gases has received considerable attention recently due to the many applications of this approach, e.g. for simulating fluid flows under nearly realistic conditions, for modeling complex microscopic natural phenomena such as diffusion-reaction or catalysis, and for analysis of pattern-forming systems. The discussion in this book covers aspects of cellular automata theory related to general problems of information theory and statistical physics, lattice gas theory, direct applications, problems arising in the modeling of microscopic physical processes, complex macroscopic behavior (mostly in connection with turbulence), and the design of special-purpose computers.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 336 pp. Englisch.

Seller Inventory # 9783642752612

Bibliographic Details

• Title: Cellular Automata and Modeling of Complex Physical Systems
• Publisher: Springer Berlin Heidelberg, Springer Berlin Heidelberg Dez 2011
• Publication Date: 2011
• Language: English
• ISBN 10: 3642752616
• ISBN 13: 9783642752612
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

Cellular automata are fully discrete dynamical systems with dynamical variables defined at the nodes of a lattice and taking values in a finite set. Application of a local transition rule at each lattice site generates the dynamics. The interpretation of systems with a large number of degrees of freedom in terms of lattice gases has received considerable attention recently due to the many applications of this approach, e.g. for simulating fluid flows under nearly realistic conditions, for modeling complex microscopic natural phenomena such as diffusion-reaction or catalysis, and for analysis of pattern-forming systems. The discussion in this book covers aspects of cellular automata theory related to general problems of information theory and statistical physics, lattice gas theory, direct applications, problems arising in the modeling of microscopic physical processes, complex macroscopic behavior (mostly in connection with turbulence), and the design of special-purpose computers.