Chemical Master versus Chemical Langevin for First-Order Reaction Networks ∗

@inproceedings{Higham2008ChemicalMV,
  title={Chemical Master versus Chemical Langevin for First-Order Reaction Networks ∗},
  author={Desmond J. Higham and Raya Khanin},
  year={2008}
}
Markov jump processes are widely used to model interacting species in circumstances where discreteness and stochasticity are relevant. Such models have been particularly successful in computational cell biology, and in this case, the interactions are typically first-order. The Chemical Langevin Equation is a stochastic differential equation that can be regarded as an approximation to the underlying jump process. In particular, the Chemical Langevin Equation allows simulations to be performed… CONTINUE READING

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