An adaptive multi-level simulation algorithm for stochastic biological systems
Discrete-state, continuous-time Markov models are widely used in the modeling of biochemical reaction networks. Their complexity often precludes analytic solution, and we rely on stochastic simulation algorithms (SSA) to estimate system statistics. The Gillespie algorithm is exact, but computational...
| Autors principals: | , , , |
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| Format: | Journal article |
| Idioma: | English |
| Publicat: |
American Institute of Physics
2015
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