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dc.contributor.authorPatterson, Robert
dc.date.accessioned2017-06-08T06:32:29Z
dc.date.available2017-06-08T06:32:29Z
dc.date.issued2016-01-05
dc.identifier.urihttp://hdl.handle.net/10754/624846
dc.description.abstractThe nonlinear structure of the equations describing the evolution of a population of coagulating particles in a flame make the use of stochastic particle methods attractive for numerical purposes. I will present an analysis of the stochastic fluctuations inherent in these numerical methods leading to an efficient sampling technique for steady-state problems. I will also give some examples where stochastic particle methods have been used to explore the effect of uncertain parameters in soot formation models. In conclusion I will try to indicate some of the issues in optimising these methods for the study of uncertain model parameters.
dc.relation.urlhttp://mediasite.kaust.edu.sa/Mediasite/Play/67f6ad383e3d4af287c44d68e87e1ae51d?catalog=ca65101c-a4eb-4057-9444-45f799bd9c52
dc.titleSimulations of flame generated particles
dc.typePresentation
dc.conference.dateJanuary 5-10, 2016
dc.conference.nameAdvances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016)
dc.conference.locationKAUST
dc.contributor.institutionWeierstrass Institute
refterms.dateFOA2018-06-14T03:40:55Z


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