Multiscale stochastic reaction–diffusion algorithms combining Markov chain models with stochastic partial differential equations
Two multiscale algorithms for stochastic simulations of reaction–diffusion processes are analysed. They are applicable to systems which include regions with significantly different concentrations of molecules. In both methods, a domain of interest is divided into two subsets where continuous-time Ma...
| Główni autorzy: | , |
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| Format: | Journal article |
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Springer
2019
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