Adjoint-Fueled Advances in Error Estimation for Multiscale, Multiphysics Problems
January 28, 2010
Donald Estep (CSU)
Hosted by Dave Randall
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.