Tuesday, June 23, 2015 - 9:00am - 10:30am
Robert Moser (The University of Texas at Austin)
The formulation of a comprehensive process to validate computational models depends on a number of factors, including how the models are to be used, the nature of the models and the characteristics of the available data. However, in all cases determining whether the model and the available data are consistent in light of the uncertainties in both is fundamental. In this lecture, after a brief overview of the challenges of model validation, we will discuss techniques for assessing consistency between uncertain models and uncertain data.
Wednesday, October 22, 2014 - 1:45pm - 2:30pm
Thomas Hughes (The University of Texas at Austin)
Ten years ago last May, I presented a lecture entitled “Consider a Spherical Cow – Conservation of Geometry in Analysis: Implications for Computational Methods in Engineering” during the IMA Workshop Compatible Spatial Discretizations for Partial Differential Equations (May 11-15, 2004). In that lecture I coined the term Isogeometric Analysis [1,2], a pithy terminology for my vision of how to address a major problem in Computer Aided Engineering (CAE). The motivation was as follows: Designs are encapsulated in Computer Aided Design (CAD) systems.
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