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Full name

Davide Cangelosi 

Title

Analysis based Leaping Strategy for the stochastic simulation of chemical reacting systems 

Start Time

10:45 

Location

Gerace 

Abstract

tau-leap method are very promising for accelerating stochastic
simulation of a well-stirred chemically reacting systems. They can
be very efficient in some conditions but since now these conditions
have been derived empirically. In this talk, we provide a detailed
algorithmic analysis to identify rigorously the conditions that
enable the worst and the best complexity of one of the most known
tau-leap method called Modified tau-leap. We propose a new
leap strategy based on the Leap Condition that improves the
efficiency of the modified tau-leap method and its simulation
accuracy in some specific case. We also extended the complexity with
a deeper study based on the Leap Condition. We listed the
constraints on the molecular populations that break down the Leap
Condition in one step considering any hypothetical system
configuration and we gave a quantitative measurement of how much
small a population

Keywords

Tau-leap, Analysis and Leap Condition 

Supervisor(s)

Pierpaolo Degano 

Notes

 

Session

Attachments
slide-cangelosi.pdf    
Created at 8/31/2009 10:33 AM  by  
Last modified at 9/7/2009 5:58 PM  by Cristian Dittamo