Assessing cellular automata based models using partial differential equations

DOI10.1016/j.mcm.2004.04.004zbMath1075.68619OpenAlexW1989320714MaRDI QIDQ1776457

Niranjan Chakravarthy

Publication date: 12 May 2005

Published in: Mathematical and Computer Modelling (Search for Journal in Brave)

Full work available at URL: https://www.pure.ed.ac.uk/ws/files/14207334/Assessing_cellular_automata_based_models_using_partial_differential_equations.pdf

zbMATH Keywords

Partial differential equationsCellular automataNumerical models of fluvial processes

Mathematics Subject Classification ID

Probabilistic models, generic numerical methods in probability and statistics (65C20) Particle methods and lattice-gas methods (76M28) Cellular automata (computational aspects) (68Q80) Computational methods for problems pertaining to geophysics (86-08)

Related Items (1)

Reverse-engineering of polynomial dynamical systems

Cites Work

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• The Relative Efficiency of Alternative Defect Control Schemes for High-Order Continuous Runge–Kutta Formulas
• THE DYNAMICS OF RUNGE–KUTTA METHODS
• A Hyperbolic PDE with Parabolic Behavior
• An Error Analysis for Numerical Differentiation

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