Prof. Emo Welzl and Prof. Bernd Gärtner
|Mittagsseminar Talk Information|
Date and Time: Tuesday, March 31, 2009, 12:15 pm
Duration: This information is not available in the database
Location: OAT S15/S16/S17
Speaker: Rajesh Ramaswamy (Mosaic Group)
Stochastic chemical kinetics is modeled by the chemical master equation (CME), a Markov-chain model that incorporates thermal fluctuations accurately. The trajectories of the CME are sampled using the stochastic simulation algorithm (SSA), a kinetic Monte-Carlo scheme proposed by Gillespie. The computational complexity of the current exact SSA formulations scales with the number of reactions. Using factored-out reaction propensities, coined the partial-propensity, we propose a new class of SSA formulations whose computational complexity scales with the number of species. Since, the number of reactions in a chemical reaction network grows faster than the number of species when the latter is increased, our SSA formulation is orders of magnitude faster than the current exact SSA formulations.
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