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SUMMARY:Insights into the dynamics of Hybrid Methods through a range of bi
 ological examples. A hands on approach - Vikram Sunkara (Freie Universitä
 t Berlin\; Konrad-Zuse-Zentrum für Informationstechnik Berlin)
DTSTART:20160407T104500Z
DTEND:20160407T113000Z
UID:TALK65369@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:Biological systems can emerge complexity from simple yet multi
 tude of interactions. Capturing such biological phenomenon mathematically 
 for predictions and inference is being actively researched. Computing syst
 ems where the interacting components are inherently stochastic demands lar
 ge amounts of computational power. Recently\, splitting the dynamics of th
 e system into deterministic and stochastic components has been a new strat
 egy for computing biological networks. This hybrid strategy drastically re
 duces the number of equations to solve\, however\, the new equations are n
 aturally stiff and nonlinear. Hybrid models are a strong candidate as a nu
 merical method for probing large biological networks with intrinsic stocha
 sticity. In this talk we will take on a new mathematical and numerical per
 spective of hybrid models. Through many biological examples\, we will aim 
 to gain insight into the benefits and stumbling blocks of the hybrid frame
 work.<br><br>Related Links<ul><li><a target="_blank" rel="nofollow">https:
 //github.com/vikramsunkara/PyME</a>&nbsp\;- PyME: Python base CME solver.<
 /li></ul>
LOCATION:Seminar Room 1\, Newton Institute
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