Adjoint-Fueled Advances in Error Estimation for Multiscale, Multiphysics Problems

January 28, 2010

Donald Estep (CSU)

Hosted by Dave Randall

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The range of scales and complexity in multiscale, multiphysics systems means that obtaining accurate numerical simulations is extremely difficult. Consequently, there is an increasing - even strident - demand for quantification of error and uncertainty in model predictions. I will describe a powerful general approach for computing accurate estimates and the use of such estimates to mitigate the effects of error, e.g. through adaptive mesh refinement. I will explain the approach in the context of three interesting applications.