Title of article :
AESS: Accelerated Exact Stochastic Simulation Original Research Article
Author/Authors :
David D. Jenkins، نويسنده , , Gregory D. Peterson، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 2011
Pages :
7
From page :
2580
To page :
2586
Abstract :
The Stochastic Simulation Algorithm (SSA) developed by Gillespie provides a powerful mechanism for exploring the behavior of chemical systems with small species populations or with important noise contributions. Gene circuit simulations for systems biology commonly employ the SSA method, as do ecological applications. This algorithm tends to be computationally expensive, so researchers seek an efficient implementation of SSA. In this program package, the Accelerated Exact Stochastic Simulation Algorithm (AESS) contains optimized implementations of Gillespieʼs SSA that improve the performance of individual simulation runs or ensembles of simulations used for sweeping parameters or to provide statistically significant results.
Keywords :
Gillespie algorithm , Computational ecology , Systems biology , Stochastic simulation , Monte Carlo
Journal title :
Computer Physics Communications
Serial Year :
2011
Journal title :
Computer Physics Communications
Record number :
1138446
Link To Document :
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