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SUMMARY:Exactness and Approximation of the Stochastic Simulation Algorithm
  - Ivan Mura\, CoSBi
DTSTART:20081119T110000Z
DTEND:20081119T120000Z
UID:TALK14743@talks.cam.ac.uk
CONTACT:Dr Fabien Petitcolas
DESCRIPTION:*Abstract*: In 1976\, a paper by Daniel T. Gillespie proposed 
 a novel computational approach to effectively analyze the time behavior of
  chemical/biochemical systems through an easy-to-implement simulation algo
 rithm. The success of Gillespie’s method for the study of biochemical sy
 stems dynamics is well demonstrated by the plethora of studies\, papers an
 d computational tools based on it that have appeared since the original pu
 blication. This talk intends to clarify the applicability of the Stochasti
 c Simulation Algorithm proposed by Gillespie. The derivation of Gillespie
 ’s results is revisited to pinpoint those steps at which\, depending on 
 the validity of the assumptions adopted about the system to be studied\, a
 pproximations may be introduced. We discuss and present some examples abou
 t the ways the inaccuracies entailed by the approximations may propagate a
 nd affect simulation results.\n\n*Biography*: Dr. Ivan Mura got his M.S. d
 egree in Computer Science\, summa cum laude\, from the University of Pisa 
 in 1994\, and a PhD in Computer Science Engineering from the University of
  Pisa in 1999. He worked for the Italian National Research Council as a ju
 nior researcher until September 1999\, when he joined the  Motorola Resear
 ch and Development Centre in Turin\, Italy. He first held a Project Lead a
 nd later a Project Manager position at Motorola\, managing several researc
 h projects dealing with performance and availability modeling of telecommu
 nications systems as well as the involvement of the company in various res
 earch and development projects funded by the European Commission in the V 
 Framework Research Programme. Dr. Ivan Mura joined the CoSBi Centre in Jan
 uary 2007.
LOCATION:Small public lecture room\, Microsoft Research Ltd\, 7 J J Thomso
 n Avenue (Off Madingley Road)\, Cambridge
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