Advances in Adaptive Approaches for Large-scale Deterministic and Stochastic Problems

Adaptive approaches provide a very effective way to perform reliable predictions for complex physical systems. These complex systems span multiple physics and multiple scales with complicated features such as moving interfaces, boundary layers, chaotic dynamics, etc., and may possess uncertainty or variability. This minisymposium will place emphasis on methods and software that explore error estimation/indication, multilevel approaches, mesh adaptation, high-order discretization, control of numerical error (and its impact on physical and stochastic modeling) and/or adaptive sampling for complex and large-scale deterministic and stochastic problems (including on next generation computing platforms).