Cargando…
New “Tau-Leap” Strategy for Accelerated Stochastic Simulation
The “Tau-Leap” strategy for stochastic simulations of chemical reaction systems due to Gillespie and co-workers has had considerable impact on various applications. This strategy is reexamined with Chebyshev’s inequality for random variables as it provides a rigorous probabilistic basis for a measur...
Autores principales: | Ramkrishna, Doraiswami, Shu, Che-Chi, Tran, Vu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical
Society
2014
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4299402/ https://www.ncbi.nlm.nih.gov/pubmed/25620846 http://dx.doi.org/10.1021/ie502929q |
Ejemplares similares
-
cuTauLeaping: A GPU-Powered Tau-Leaping Stochastic Simulator for Massive Parallel Analyses of Biological Systems
por: Nobile, Marco S., et al.
Publicado: (2014) -
Correction: cuTauLeaping: A GPU-Powered Tau-Leaping Stochastic Simulator for Massive Parallel Analyses of Biological Systems
Publicado: (2014) -
Role of Intracellular Stochasticity in Biofilm Growth. Insights from Population Balance Modeling
por: Shu, Che-Chi, et al.
Publicado: (2013) -
Quasi-Monte Carlo Methods Applied to Tau-Leaping in Stochastic Biological Systems
por: Beentjes, Casper H. L., et al.
Publicado: (2018) -
Tau-leaped Particle Learning
por: Niemi, Jarad, et al.
Publicado: (2013)