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BMCBI
2004

Asynchronous adaptive time step in quantitative cellular automata modeling

9 years 6 months ago
Asynchronous adaptive time step in quantitative cellular automata modeling
Background: The behaviors of cells in metazoans are context dependent, thus large-scale multicellular modeling is often necessary, for which cellular automata are natural candidates. Two related issues are involved in cellular automata based multi-cellular modeling: how to introduce differential equation based quantitative computing to precisely describe cellular activity, and upon it, how to solve the heavy time consumption issue in simulation. Results: Based on a modified, language based cellular automata system we extended that allows ordinary differential equations in models, we introduce a method implementing asynchronous adaptive time step in simulation that can considerably improve efficiency yet without a significant sacrifice of accuracy. An average speedup rate of 4
Hao Zhu, Peter Y. H. Pang, Yan Sun, Pawan Dhar
Added 16 Dec 2010
Updated 16 Dec 2010
Type Journal
Year 2004
Where BMCBI
Authors Hao Zhu, Peter Y. H. Pang, Yan Sun, Pawan Dhar
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