Numerical methods for stochastic simulation of biochemical systems
نویسندگان
چکیده
Stochastic simulation of complex biochemical networks is a topic of current interest, in spite of the importance of the Gillespie algorithm it requires substantial amount of computational effort to simulate a complex system, Many algorithms are available now to control the two most important parameters in simulation: speed and accuracy. It can be proved that the stochastic modelling approach provide a conceptual bridge between stochastic chemical kinetics (the CME and SSA) and conventional deterministic chemical kinetics (the RRE).
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