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Lattice gas cellular automata and lattice Boltzmann models: an introduction
Lattice-gas cellular automata (LGCA) and lattice Boltzmann models (LBM) are relatively new and promising methods for the numerical solution of nonlinear partial differential equations. The book provides an introduction for graduate students and researchers. Working knowledge of calculus is required...
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Lenguaje: | eng |
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Springer
2000
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Acceso en línea: | https://dx.doi.org/10.1007/b72010 http://cds.cern.ch/record/1691467 |
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author | Wolf-Gladrow, Dieter A |
author_facet | Wolf-Gladrow, Dieter A |
author_sort | Wolf-Gladrow, Dieter A |
collection | CERN |
description | Lattice-gas cellular automata (LGCA) and lattice Boltzmann models (LBM) are relatively new and promising methods for the numerical solution of nonlinear partial differential equations. The book provides an introduction for graduate students and researchers. Working knowledge of calculus is required and experience in PDEs and fluid dynamics is recommended. Some peculiarities of cellular automata are outlined in Chapter 2. The properties of various LGCA and special coding techniques are discussed in Chapter 3. Concepts from statistical mechanics (Chapter 4) provide the necessary theoretical background for LGCA and LBM. The properties of lattice Boltzmann models and a method for their construction are presented in Chapter 5. |
id | cern-1691467 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2000 |
publisher | Springer |
record_format | invenio |
spelling | cern-16914672021-04-21T21:09:43Zdoi:10.1007/b72010http://cds.cern.ch/record/1691467engWolf-Gladrow, Dieter ALattice gas cellular automata and lattice Boltzmann models: an introductionMathematical Physics and MathematicsLattice-gas cellular automata (LGCA) and lattice Boltzmann models (LBM) are relatively new and promising methods for the numerical solution of nonlinear partial differential equations. The book provides an introduction for graduate students and researchers. Working knowledge of calculus is required and experience in PDEs and fluid dynamics is recommended. Some peculiarities of cellular automata are outlined in Chapter 2. The properties of various LGCA and special coding techniques are discussed in Chapter 3. Concepts from statistical mechanics (Chapter 4) provide the necessary theoretical background for LGCA and LBM. The properties of lattice Boltzmann models and a method for their construction are presented in Chapter 5.Springeroai:cds.cern.ch:16914672000 |
spellingShingle | Mathematical Physics and Mathematics Wolf-Gladrow, Dieter A Lattice gas cellular automata and lattice Boltzmann models: an introduction |
title | Lattice gas cellular automata and lattice Boltzmann models: an introduction |
title_full | Lattice gas cellular automata and lattice Boltzmann models: an introduction |
title_fullStr | Lattice gas cellular automata and lattice Boltzmann models: an introduction |
title_full_unstemmed | Lattice gas cellular automata and lattice Boltzmann models: an introduction |
title_short | Lattice gas cellular automata and lattice Boltzmann models: an introduction |
title_sort | lattice gas cellular automata and lattice boltzmann models: an introduction |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.1007/b72010 http://cds.cern.ch/record/1691467 |
work_keys_str_mv | AT wolfgladrowdietera latticegascellularautomataandlatticeboltzmannmodelsanintroduction |