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X-ORIGINAL-URL:https://cmc.deusto.eus/
X-WR-CALNAME:cmc.deusto.eus
X-WR-CALDESC:DeustoCCM - Chair of Computational Mathematics at University of Deusto
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CLASS:PUBLIC
UID:MEC-842ca578342915ccb8ae069595ba7233@cmc.deusto.eus
DTSTART:20200315T070000Z
DTEND:20200319T190000Z
DTSTAMP:20200117T160400Z
CREATED:20200117
LAST-MODIFIED:20200918
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:FAU Spring School on “PDEs and Uncertainty”
DESCRIPTION:What? “IntComSin” Spring School of the RTG 2339. PDEs meet uncertainty: New analytical & numerical concepts\nWhen? March 15th to March 19th, 2020\nWhere? Tagungshaus Schönenberg, Schönenberg 40, 73479 Ellwangen, Germany\nContact? Email your CV to Mrs. Astrid Bigott\nOrganizer: FAU Erlangen-Nürnberg\nAbout. In recent years, it became evident that including uncertainty in pde-models may enhance their predictive power. Uncertainty may enter the equations in the form of random coefficients as well as in the form of random force terms, the latter giving rise to stochastic partial differential equations.\n\nBenjamin Gess (MPI Leipzig & University of Bielefeld): “Stochastic thin-film equations with Stratonovich noise”\nFabio Nobile (EPFL Lausanne): “Uncertainty quantification methods for PDEs with random input data”\nAndreas Prohl (University of Tübingen): “Adaptive algorithms to numerically solve SPDEs”\n\n
URL:https://cmc.deusto.eus/events-calendar/fau-spring-school-pdes-and-uncertainty/
ORGANIZER;CN=Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU):MAILTO:
CATEGORIES:Events Calendar,Events Calendar Past
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