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{ "item_title" : "Cellular Automata Modeling of Physical Systems", "item_author" : [" Bastien Chopard", "Michel Droz", "Chopard Bastien "], "item_description" : "This book provides a self-contained introduction to cellular automata and lattice Boltzmann techniques. Beginning with a chapter introducing the basic concepts of this developing field, a second chapter describes methods used in cellular automata modeling. Following chapters discuss the statistical mechanics of lattice gases, diffusion phenomena, reaction-diffusion processes and non-equilibrium phase transitions. A final chapter looks at other models and applications, such as wave propagation and multiparticle fluids. With a pedagogic approach, the volume focuses on the use of cellular automata in the framework of equilibrium and non-equilibrium statistical physics. It also emphasises application-oriented problems such as fluid dynamics and pattern formation. The book contains many examples and problems. A glossary and a detailed bibliography are also included. This will be a valuable book for graduate students and researchers working in statistical physics, solid state physics, chemical physics and computer science.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/0/52/167/345/0521673453_b.jpg", "price_data" : { "retail_price" : "75.00", "online_price" : "75.00", "our_price" : "75.00", "club_price" : "75.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Cellular Automata Modeling of Physical Systems|Bastien Chopard

Cellular Automata Modeling of Physical Systems

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Overview

This book provides a self-contained introduction to cellular automata and lattice Boltzmann techniques. Beginning with a chapter introducing the basic concepts of this developing field, a second chapter describes methods used in cellular automata modeling. Following chapters discuss the statistical mechanics of lattice gases, diffusion phenomena, reaction-diffusion processes and non-equilibrium phase transitions. A final chapter looks at other models and applications, such as wave propagation and multiparticle fluids. With a pedagogic approach, the volume focuses on the use of cellular automata in the framework of equilibrium and non-equilibrium statistical physics. It also emphasises application-oriented problems such as fluid dynamics and pattern formation. The book contains many examples and problems. A glossary and a detailed bibliography are also included. This will be a valuable book for graduate students and researchers working in statistical physics, solid state physics, chemical physics and computer science.

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Details

  • ISBN-13: 9780521673457
  • ISBN-10: 0521673453
  • Publisher: Cambridge University Press
  • Publish Date: June 2005
  • Dimensions: 9.61 x 6.69 x 0.74 inches
  • Shipping Weight: 1.25 pounds
  • Page Count: 356

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