SIAM Conference on Mathematics of Planet Earth (MPE20) Invited Plenary Talks: Claudia Schillings

Identification and Minimization of Uncertainties for Large-scale Problems



Abstract: Mathematical and computational tools for large-scale inverse and optimal control problems in the presence of uncertainty in measurements, models and parameters are needed to ensure the reliability of numerical computations and designs. Uncertainties have the potential to render worthless even highly sophisticated numerical approaches, since their conclusions do not realize in practice due to imperfect knowledge of the underlying physical models and unavoidable uncertainty in parameter values, data, initial and boundary conditions, geometry, etc. . In this talk, we will discuss dimensionally robust approaches, i.e. robust methods whose efficiency, in terms of the computational effort of the uncertainty quantification/minimization versus the computational costs of one forward simulation, is independent on the number of uncertain parameters and design or control variables and thus applicable to complex, computationally intensive real-world applications.


Claudia Schillings
Universitaet Mannheim, Germany


Session Chair: Beth Wingate, University of Exeter, United Kingdom


This virtual plenary talk was originally scheduled for the 2020 SIAM Conference on Mathematics of Planet Earth. For more information on this session, visit https://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=69188. To view the virtual program , please visit the MPE20 website at https://www.siam.org/conferences/cm/conference/mpe20.

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