title: A cutoff phenomenon in accelerated stochastic simulations of chemical kinetics via flow averaging (FLAVOR-SSA).
abstract: We present a simple algorithm for the simulation of stiff, discrete-space, continuous-time Markov processes. The algorithm is based on the concept of flow averaging for the integration of stiff ordinary and stochastic differential equations and ultimately leads to a straightforward variation of the the well-known stochastic simulation algorithm (SSA). The speedup that can be achieved by the present algorithm [flow averaging integrator SSA (FLAVOR-SSA)] over the classical SSA comes naturally at the expense of its accuracy. The error of the proposed method exhibits a cutoff phenomenon as a function of its speed-up, allowing for optimal tuning. Two numerical examples from chemical kinetics are provided to illustrate the efficiency of the method.
authors.affiliation: Computational Science and Engineering Laboratory, ETH Zurich, CH-8092, Switzerland.
authors.forename: Basil
authors.initials: B
authors.lastname: Bayati
authors.forename: Houman
authors.initials: H
authors.lastname: Owhadi
authors.forename: Petros
authors.initials: P
authors.lastname: Koumoutsakos