An exact accelerated stochastic simulation algorithm

Mjolsness, Eric;Orendorff, David;Chatelain, Philippe;Koumoutsakos, Petros
(2009) Journal of Chemical Physics — Vol. 130, n° 14, p. 144110 (2009)

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Authors
  • Mjolsness, EricDepartment of Computer Science, University of California, Irvine
    Author
  • Orendorff, DavidDepartment of Computer Science, University of California, Irvine
    Author
  • Chatelain, Philippeorcid-logoComputational Science, ETH Zurich
    Author
  • Koumoutsakos, PetrosComputational Science, ETH Zurich
    Author
Abstract
An exact method for stochastic simulation of chemical reaction networks, which accelerates the stochastic simulation algorithm SSA, is proposed. The present “ER-leap” algorithm is derived from analytic upper and lower bounds on the multireaction probabilities sampled by SSA, together with rejection sampling and an adaptive multiplicity for reactions. The algorithm is tested on a number of well-quantified reaction networks and is found experimentally to be very accurate on test problems including a chaotic reaction network. At the same time ER-leap offers a substantial speedup over SSA with a simulation time proportional to the 2/3 power of the number of reaction events in a Galton–Watson process.
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Citations

Mjolsness, E., Orendorff, D., Chatelain, P., & Koumoutsakos, P. (2009). An exact accelerated stochastic simulation algorithm. Journal of Chemical Physics, 130(14), 144110. https://doi.org/10.1063/1.3078490 (Original work published 2009)