IAM-PIMS-MITACS Distinguished Colloquium: William L. Oberkampf
Speakers
Details
Verification and validation (V&V) are
the primary means to assess mathematical model and numerical accuracy in
computational simulations. Code verification deals with the assessment
of the reliability of the software coding and the numerical algorithms
used, while solution verification deals with numerical error estimation
of the computational solution to the mathematical model. Validation
assesses the accuracy of the mathematical model as compared to an
appropriate fiducial reference. In the natural sciences, this reference
is commonly experimental measurements of the system of interest.
Uncertainty quantification attempts to characterize the uncertainties
represented by, and due to, the mathematical model, the numerical
solution error, and the experimental data. Important research questions
in uncertainty quantification deal with (a) model updating and
calibration, as opposed to predictive uncertainty estimation, (b)
estimation of model form uncertainty for cases where experimental data
are available, and (c) extrapolation of estimated model form uncertainty
to conditions for which no experimental data are available. This talk
will briefly discuss all of these issues within the framework of how
computational simulations are used in a decision-making environment.
Additional Information
Location: LSK 301
For more information please visit Institute of Applied Mathematics
William L. Oberkampf