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SUMMARY:Tensor methods for parametric PDEs
DTSTART:20240423T161500
DTEND:20240423T171500
DTSTAMP:20260407T101456Z
UID:8a373610ca8652d8b9765b924477fd34c7d01a26de97e90384732ca8
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr Damiano Lombardi - Inria Paris\nTensor methods are a way to
  build parsimonious discretisations of parametric Partial Differential Equ
 ations (PDEs). The talk will be divided in two parts. In the first one\, t
 he preconditioning of the multi-linear system arising from the discretisat
 ion is discussed. Three different strategies are presented\, analysed and 
 compared. \n\nIn the second part of the talk\, the problem of taking the 
 geometrical variability of domains into account is described. A constructi
 ve non-linear method is presented to provide a parametric parsimonious rep
 resentation of sets of characteristic functions which vary in a neighbourh
 ood of a reference configuration. This can be considered as a first step t
 owards Uncertainty Quantification for PDEs in varying domains.  
LOCATION:CM 1 517 https://plan.epfl.ch/?room==CM%201%20517
STATUS:CONFIRMED
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