Scale-splitting error in complex automata models for reaction-diffusion systems

Authors
Publication date 2008
Host editors
  • M. Bubak
  • G.D. van Albada
  • J. Dongarra
  • P.M.A. Sloot
Book title Computational Science – ICCS 2008
Book subtitle 8th International Conference, Kraków, Poland, June 23-25, 2008 : proceedings
ISBN
  • 9783540693864
ISBN (electronic)
  • 9783540693871
Series Lecture Notes in Computer Science
Event 8th International Conference on Computational Science (ICCS) (Kraków, Poland)
Volume | Issue number II
Pages (from-to) 291-300
Publisher Berlin: Springer
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract
Complex Automata (CxA) have been recently proposed as a paradigm for the simulation of multiscale systems. A CxA model is constructed decomposing a multiscale process into single scale sub-models, each simulated using a Cellular Automata algorithm, interacting across the scales via appropriate coupling templates. Focusing on a reactiondiffusion system, we introduce a mathematical framework for CxA modeling. We aim at the identification of error sources in the modeling stages, investigating in particular how the errors depend upon scale separation. Theoretical error estimates will be presented and numerically validated on a simple benchmark, based on a periodic reaction-diffusion problem solved via multistep lattice Boltzmann method.
Document type Conference contribution
Language English
Published at https://doi.org/10.1007/978-3-540-69387-1_32
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